JP5148119B2 - Music selection playback method - Google Patents

Description

  The present invention relates to an automatic music selection method, for example, a technique effective when applied to a music selection / playback method for an in-vehicle audio device and a music selection / playback method for a portable audio device.

  Considering the convenience of the driver, the car tends to be equipped with a car navigation device (vehicle-mounted navigation device) that can recognize the position of the vehicle on the map. In addition, an in-vehicle audio device equipped with this car navigation device and an audio device, that is, an in-vehicle audio device equipped with the car navigation device has been developed.

  As one of in-vehicle audio devices equipped with such a car navigation device, a technology for realizing a comfortable driving environment by broadcasting desired music in synchronization with the progress of driving has been developed (for example, Patent Documents). 1).

  In the device disclosed in Patent Document 1, for example, the passenger inputs the registration of the definition of the operation of the audio device on the route from the departure point to the destination or at an arbitrary point and the arbitrary point. When the vehicle reaches the vicinity of the registered point, the audio device is instructed to perform an action defined for the registered point. Therefore, when the vehicle reaches the vicinity of the registered point, the passenger can listen to the preset music.

  Also, unlike the method of playing music set according to the route, in-vehicle navigation equipped with an audio device (automatic music selection system) that automatically plays music associated with the vehicle and the surrounding conditions of the vehicle A system has been proposed (for example, Patent Document 2).

  Patent Literature 2 stores first correspondence information in which a plurality of keywords are associated with each situation element set in advance, and information specifying a music, a recording medium on which the music is recorded, and a recording position And second correspondence information that associates the keyword attached to the music, and performs measurement or information collection for recognizing the current value of each situation element, and the obtained information and the second A keyword is selected for each of the situation elements based on the correspondence information of 1, and the selected keyword is compared with a keyword associated with each piece of music in the second correspondence information; Are automatically searched for music pieces that match the keywords, and the music pieces detected by the search are automatically reproduced.

Japanese Patent Laid-Open No. 11-30526 JP 2001-324335 A

  In music reproduction in a car, it is necessary for the passenger to normally listen to the music that the passenger wants to listen to using a CD, cassette, etc. If it is not brought in, the music flowing on the radio or the like will be listened to, but music that is not preferred by the passenger, that is, the listener (listener) is also broadcast.

  Unlike conventional active listeners who enjoy music by bringing CDs, cassettes, etc. that store favorite music into the car, many music autos as described above are targeted for passive listeners who only listen to music broadcasts from radio etc. A device in which a music selection system and a car navigation device are integrated (an in-vehicle audio device equipped with a car navigation device) has been proposed.

  As a result of analyzing and examining a conventional music playback method (music automatic music selection system) targeted at a passive listener, the present inventor has confirmed the following.

  (1) The conventional music playback method (automatic music selection system) targeting passive listeners is simply a method of searching for music that partially matches by keyword comparison. I hate being hard to select songs.

  (2) In the music search, music selection based on parameters reflecting the listener's situation, that is, emotions such as the listener's feelings and preferences, is not made.

  (3) When searching for a keyword that matches, there is a risk that if the situation does not change, the same piece of music is played repeatedly and tired.

  (4) Since all pieces of music data are searched, if the number of songs to be recorded increases, the load (search processing time) required for the music data search process may increase.

  (5) The music data needs to be prepared by the listener himself and is not suitable for a passive listener.

  An object of the present invention is to provide a music selection / playback method capable of always listening to music reflecting listener's preference and mood, own vehicle, and surrounding conditions of the own vehicle.

  Another object of the present invention is to provide a music selection / playback method that does not play back the same music continuously or frequently.

  Another object of the present invention is to provide a music selection / playback method with a small search processing load for selecting music.

  Another object of the present invention is to provide a music selection / playback method capable of reducing the search processing time even when the number of music to be recorded increases.

  Another object of the present invention is to provide a music selection / playback method for downloading music data from a digital radio broadcast.

  The above and other objects and novel features of the present invention will be apparent from the description of this specification and the accompanying drawings.

  The following is a brief description of an outline of typical inventions disclosed in the present application.

(1) Music selection playback method
A music selection / playback method for an on-vehicle audio device that plays music,
A preset parameter representing the situation of the vehicle, a parameter representing the surrounding situation of the vehicle, a parameter representing the situation of the listener, and a plurality of selection values associated with the parameters,
Obtain music source data and song attribute data from each song data to create song data corresponding to each song,
In the music data, when the music attribute data of each music is searched and one of the selection values can be selected, the selection value is set as a music attribute value. A song attribute value list with the song attribute value and data for recording the last playback date and time of the song,
Further, the music data is distributed to any one of the files of the set 1 to the set N that divides the music data for each music selector.
Music playback
(A) a set selection step of selecting any of the sets 1 to N by the listener;
(B) selecting one selected value from the plurality of selected values as a keyword based on data acquired from a device provided in the vehicle and data input by the listener, and the set selected with the keyword Comparing and determining the song attribute values in all the music data stored in a match, mismatch, scoring based on “all”, determining the parameter score of each parameter, and the parameters of all the parameters A scoring process for calculating a total parameter score and obtaining a score value that is a parameter total score,
(C) an excluding step of excluding from the music selection candidates those that do not match the minimum matching condition keyword for which the music attribute value is preset in each music data;
(D) an excluding step of comparing the last reproduction date and time and the current date and time of the music included in each music data and excluding the music data that has not passed a predetermined time from music selection candidates;
(E) a music selection step of selecting T pieces of music data having a high score value from the top;
(F) a randomizing step of arbitrarily rearranging the order of the T pieces of music data having a high score value;
(G) a reproduction step of sending music data of the music data to the audio device in the order rearranged in the randomizing step, and reproducing the music data;
(H) When the reproduction of the music is completed, it is determined whether or not the music is the T-th music. If the music is the T-th music, the process returns to the scoring step (b) and again A determination step of scoring the set and proceeding to the next step if it is not the T-th song,
(I) After the determination step (h), it is determined whether or not there is a stop request for playback. If there is no stop request, the process returns to the playback step (g) to continue playback of the next piece of music. If there is a judgment process to proceed to the next process,
(J) After the determination step (i), an end step of ending the music selection reproduction;
It is characterized by having.

  When determining the degree of coincidence between the keyword and the song attribute value, a factor value of 2 is set when the keyword and the song attribute value match, and a factor value of 0 is set when the keyword and the song attribute value do not match. If the attribute value is “all”, the factor value is 1.

  The parameter is a seasonal parameter with selected values of spring, summer, autumn and winter, a day of the week parameter with selected values of the beginning of the week, during the week, weekends and holidays, and selected values of morning, noon, evening, night and midnight. Time zone parameters, speed parameters with selected values of low speed, medium speed and high speed, destination parameters with selected values of city, suburb, seaside and mountainous area, weather parameters with selected values of sunny, cloudy, rainy and stormy weather, It has at least a mood parameter with selection values of refreshing, normal, unpleasant and lonely.

  Subsequent to the set selection step (a), (k) a step of acquiring a current date time and a traveling speed of the host vehicle, and the keywords of the season, day of week, and time zone parameters are determined from the date time. And selecting the keyword of the speed parameter from the travel speed.

In creating the music data,
Obtain sound source data and song attribute data from the song,
Based on the sound source data, the song attribute data and the plurality of selection values,
Sound source data,
As a song attribute record item, a song ID indicating the identification number of the song, a song feeling which is data representing a selected value for each parameter of the song, a song title indicating the title of the song, and an artist playing the song Name, song attribute list having each item of the sound source index representing the sound source data of the music,
As a score data record item, a song ID indicating the identification number of the song, a song score value indicating a value obtained by scoring the song with each keyword at present, and a preference indicating a degree of preference for the song designated by the listener as a numerical value Each time, a score data list having each item of the last reproduction date and time indicating the date and time when the music was last reproduced is created.

In the song feeling,
As parameters, seasonal parameters with selected values of spring, summer, autumn and winter, day-of-week parameters with selected values of the beginning of the week, during the week, weekends and holidays, time with selected values of morning, noon, evening, night and midnight Belt parameter, speed parameter with selected values of low speed, medium speed and high speed, destination parameter with selected values of city, suburb, seaside and mountainous area, weather parameter with selected values of clear, cloudy, rainy and stormy weather, refreshing At least a mood parameter with selected values of normal, unpleasant and lonely,
In the music feeling, the music attribute value list is composed of all music attribute values or special selection values indicating selected values of the respective parameters.

  The music is input by one or two of an input from a terrestrial digital audio broadcast and an input from an external storage medium.

  The selection of the keyword in the scoring step (b) is based on input data from a car navigation device, a GPS, a sensor, and a touch panel.

  (2) In the means of (1) above, the scoring step (b) is characterized in that each parameter is multiplied by a predetermined weight value and summed to obtain a score value. The parameters are season, day of week, time zone, speed, destination, weather, mood parameters, and the weight value can be changed according to the contents of preset initial setting data.

  (3) The means of (1) above, further comprising a step of adding the degree of preference of the music selected by the listener in the stage of the reproduction step (g) to the score value in the step (d). To do.

(4) In the means of (1) above,
The selection of the keyword of the weather that is the parameter is
The temperature and humidity detected by the temperature / humidity sensor attached to the host vehicle and the wiper operation sensor detected by the wiper operation sensor attached to the host vehicle are selected.
Divide the temperature and humidity into a plurality of temperature ranges and a plurality of humidity ranges in advance, and stop the movement of the wiper, classify into the operation mode of low speed operation and high speed operation,
It is characterized in that the selected values of the weather, such as sunny, cloudy, rainy, and stormy weather, are selected as keywords by combining the categories.

(5) Music selection playback method
A music selection / playback method for a portable audio device that plays music,
A preset parameter representing the listener status and a parameter representing the peripheral status of the listener, and a plurality of selection values associated with each of the parameters,
Obtain music source data and song attribute data from each song data to create song data corresponding to each song,
In the music data, when the music attribute data of each music is searched and one of the selection values can be selected, the selection value is set as a music attribute value, and when it cannot be selected, all are selected as special selection values. A song attribute value list as song attribute values, and data for recording the last playback date of the song,
Further, the music data is distributed to any one of the files of the set 1 to the set N that divides the music data for each music selector.
Music playback
(A) a set selection step of selecting any of the sets 1 to N by the listener;
(B) selecting one selection value from the plurality of selection values as a keyword based on data acquired from a device including the navigation device included in the portable audio device and data input by the listener; Comparing and determining the keyword and the music attribute values in all the music data stored in the selected set, scoring is performed based on the match, mismatch, and “all” to obtain the parameter score for each parameter And a scoring step of calculating a sum of all the parameter scores to obtain a score value that is a parameter total score,
(C) an exclusion step of excluding from the song selection candidates those song attribute values that do not match a preset minimum matching keyword in each song data;
(D) an excluding step of comparing the last reproduction date and time and the current date and time of the music included in each music data and excluding the music data that has not passed a predetermined time from music selection candidates;
(E) a music selection step of selecting T pieces of music data having a high score value from the top;
(F) a randomizing step of arbitrarily rearranging the order of the T pieces of music data having a high score value;
(G) a reproduction step of reproducing music by sending the music data of the music data to the audio device in the order rearranged in the randomization step;
(H) When the reproduction of the music is completed, it is determined whether or not the music is the T-th music. If the music is the T-th music, the process returns to the scoring step (b) and again A determination step of scoring the set and proceeding to the next step if it is not the T-th song,
(I) After the determination step (h), it is determined whether or not there is a stop request for playback. If there is no stop request, the process returns to the playback step (g) to continue playback of the next piece of music. If there is a judgment process to proceed to the next process,
(J) After the determination step (i), an end step for ending the music selection reproduction;
It is characterized by having.

  When determining the degree of coincidence between the keyword and the song attribute value, a factor value of 2 is set when the keyword and the song attribute value match, and a factor value of 0 is set when the keyword and the song attribute value do not match. If the attribute value is “all”, the factor value is 1.

  The parameter is a seasonal parameter with selected values of spring, summer, autumn and winter, a day of the week parameter with selected values of the beginning of the week, during the week, weekends and holidays, and selected values of morning, noon, evening, night and midnight. Time zone parameters, destination parameters with selected values of cities, suburbs, beaches and mountains, weather parameters with selected values of clear, cloudy, rainy and stormy weather, mood parameters with selected values of refreshing, normal, unpleasant and lonely It is characterized by having at least.

  Next to the set selection step (a), (k) obtaining a current date time, and selecting the keyword of the season / day of week / time zone parameter from the date time. .

In creating the music data,
Obtain sound source data and song attribute data from the song,
Based on the sound source data, the song attribute data and the plurality of selection values,
Sound source data,
As a song attribute record item, a song ID indicating the identification number of the song, a song feeling which is data representing a selected value for each parameter of the song, a song title indicating the title of the song, and an artist playing the song Name, song attribute list having each item of the sound source index representing the sound source data of the music,
As score data record items, a song ID indicating the identification number of the song, a score value indicating a value obtained by scoring the song with each keyword at present, and a preference indicating a degree of preference for the song designated by the listener numerically A score data list having each item of the last reproduction date and time indicating the date and time when the music was reproduced last is created.

In the song feeling,
As parameters, seasonal parameters with selected values of spring, summer, autumn and winter, day-of-week parameters with selected values of the beginning of the week, during the week, weekends and holidays, time with selected values of morning, noon, evening, night and midnight Zone parameter, destination parameter with city, suburb, seaside and mountainous area as selected values, weather parameter with selected values as clear, cloudy, rainy and stormy weather, mood parameter with selected values as refreshing, normal, unpleasant and lonely Have at least
In the music feeling, the music attribute value list is composed of all music attribute values or special selection values indicating selected values of the respective parameters.

  The music is input by one or two of an input from a terrestrial digital audio broadcast and an input from an external storage medium.

  The selection of the keyword in the scoring step (b) is based on input data from a GPS, a sensor, and a touch panel.

  (6) The means of (5) is characterized in that, in the scoring step (b), a score value is obtained by multiplying each of the parameters by a predetermined weight value and totaling them. The parameters are season, day of the week, time zone, destination, weather, and mood parameters, and the weight value can be changed according to the contents of preset initial setting data.

  (7) The above-mentioned means (5) is characterized by comprising the step of adding the degree of preference of the music selected by the listener in the stage of the reproduction step (g) to the score value in the step (d). To do.

  The effects obtained by the representative ones of the inventions disclosed in the present application will be briefly described as follows.

  According to the above means (1), (a) the listener simply selects one of the sets 1 to N, and after that, the process is automatically performed, and the current vehicle situation, Music pieces that are suitable for the listener's situation and the situation around the current vehicle are sequentially reproduced. If music is selected, in other words, music data is selected in the following order. That is, the parameter score of each parameter is calculated based on the comparison attribute scoring of the song attribute value of each parameter of the parameter that represents the situation of the own vehicle, the parameter that represents the surrounding situation of the own vehicle, and the parameter that represents the situation of the listener. . Next, a score value is calculated by calculating the sum of all the parameter scores. Thereafter, the music that does not match the minimum matching conditions is excluded, the preference score is added to the score value, the date and time of the last reproduction are compared with the current time, and the music that has not passed a certain time is deleted. Next, the Tth (Tth) score value from the top of the score value is selected from the top, the ranking is randomized in the T selection set, and the song data is sequentially sent to the audio device in the ranking. To play the music. As a result, you can listen to music that matches the current listener's situation (mood), not just music that matches the current situation of the vehicle and the current vehicle surroundings, and lower the frequency of playing the same song. And you can enjoy satisfying and comfortable music. Therefore, the listener can enjoy a comfortable drive.

  (B) In scoring the music, since only the music data (music) of the set selected by the listener is scored, the selection according to the mood / preference at that time in a broad sense is performed, and the scoring time This makes it possible to shorten the waiting time for music selection.

  (C) In the exclusion step, if the music data does not match the minimum matching condition, the music is excluded from the music selection candidates. For example, if the minimum matching condition is a seasonal parameter, Playback of out-of-season music can be prevented. In addition, the number of music data to be selected is reduced, and the music selection waiting time can be further shortened.

  (D) After the reproduction of the music corresponding to the T pieces of music data is completed, the T pieces of music data can be automatically selected again, so that the listener's favorite music can be subsequently reproduced. It can be carried out. In this case, since the repeat guard function that excludes music for which the time from the last playback time to the current time has not passed a certain time is exhibited, it is possible to prevent the same music from being selected / played within a certain time period. be able to. Therefore, the listener never gets tired without repeatedly listening to the same music. If you want to listen to a song selected by another song selector, you can listen to a song that matches the listener's mood and the situation of the vehicle and the surroundings of the vehicle by selecting another set.

  (E) The music attribute value of all the music data in a predetermined set is compared with the corresponding keyword, whether it matches, does not match, or “all”, and is scored. A music piece is selected based on the score. In addition, since the items from the highest score value to the T-th item are selected and played, songs reflecting the situation of the vehicle and the surroundings of the vehicle and the mood of the listener are played sequentially, You can enjoy music with satisfaction and comfort.

  (F) Acquisition of music can be performed by bringing an external storage medium into the vehicle and mounting it on the external storage medium mounting portion of the navigation device. Further, since it can be automatically acquired from the terrestrial digital audio broadcasting by the receiving operation of the listener, a new listener can listen to new music without being aware of it, which is further preferable.

  According to the means of (2), in addition to the effect of the means of (1), scoring is performed by assigning a predetermined weight value to each parameter, so that the filtering function is exhibited and the season, weather, purpose When higher weights are given to the ground or the like, music that does not meet these conditions is difficult to select. For example, if a high weight is set for highly important seasons, weather, and destinations, even if other parameters with low weight values such as time zone and day of the week match, the score value will be low and it will be difficult to select. , Songs that do not match the season, weather and destination can be excluded.

  According to the above means (3), in addition to the effect obtained by the means (1), it is possible to specify favorite, disliked, or normal data that is the listener's preference information during the reproduction of music. With this designation, favorite, disliked, and ordinary data can be added to the score value and reflected, so that the music to be played is selected by taking this preference information into consideration when searching and playing the music after the designation. Thus, the tasting function is exhibited, and the listener can listen to the music with higher sensitivity by accumulating his / her preference.

  According to the means of (4) above, as a method of selecting a weather parameter selection value and determining the current weather state (keyword), the temperature and humidity detected by the temperature / humidity sensor as described above, and the wiper operation sensor are used. It is possible to detect whether the current weather is sunny, cloudy, rainy, or stormy from the operation mode of the wiper by detecting.

  According to the means of (5) above, (a) the listener only selects one of the sets 1 to N, and then the process is automatically performed, and the current listener status and current Music pieces that are generally close to the situation around the listener are reproduced in order from the highest selected piece of music. If music is selected, in other words, music data is selected in the following order. That is, first, the parameter score of each parameter is calculated based on the parameter representing the peripheral situation of the listener, the music attribute value of each parameter of the parameter representing the situation of the listener, and the comparison judgment score of the keyword. Next, a score value is calculated by calculating the sum of all the parameter scores. Next, the T-th (T-th) score from the top of the score value is selected from the top and sent to the audio device to reproduce the music. As a result, it is possible to listen to music that matches the current situation (mood) of the listener, not just music that fits the current situation of the listener, and the listener can enjoy satisfying and comfortable music.

  (B) In scoring the music, only the music data (music) of the set selected by the listener is scored, so that the scoring time can be shortened and the music selection waiting time can be shortened.

  (C) In the exclusion step, from among the music data, those that also do not match the keyword of the preset minimum matching condition are excluded from the music selection candidates, so the number of music data to be selected is also reduced. , Music selection waiting time can be further reduced.

  (D) After the reproduction of the music corresponding to the T pieces of music data is completed, the T pieces of music data can be automatically selected again, so that the listener's favorite music can be subsequently reproduced. It can be carried out. In this case, since the repeat guard function that excludes music for which the time from the last playback time to the current time has not passed a certain time is exhibited, it is possible to prevent the same music from being selected / played within a certain time period. be able to. Therefore, the listener never gets tired without repeatedly listening to the same music. In addition, when a user wants to listen to a song selected by another music selector, the same music selection procedure is performed again by selecting another set, and the user can listen to a song that matches the listener's surroundings and the listener's mood.

  (E) The music attribute value of all the music data in a predetermined set is compared with the corresponding keyword, whether it matches, does not match, or “all”, and is scored. A music piece is selected based on the score. In addition, since the items from the highest score value to the Tth are selected and played back by the audio device, the music reflecting the situation around the listener and the mood of the listener is played, and the listener is satisfied and You can enjoy music comfortably.

  (F) Acquisition of music can be performed by bringing an external storage medium into the vehicle and mounting it on the external storage medium mounting portion of the navigation device. Further, since it can be automatically acquired from the terrestrial digital audio broadcasting by the receiving operation of the listener, it is further preferable because a passive listener can listen to new music without being aware of anything.

  According to the means of (6) above, in addition to the effect of the means of (5) above, scoring is performed by assigning a predetermined weight value to each of the parameters, so that the filtering function is exhibited and the season, weather, purpose When higher weights are given to the ground or the like, music that does not meet these conditions is difficult to select. For example, if a high weight is set for highly important seasons, weather, and destinations, even if other parameters with low weight values such as time zone and day of the week match, the score value will be low and it will be difficult to select. It is possible to exclude music such as season, weather, and destination.

  According to the above means (7), in addition to the effect obtained from the means (5), it is possible to specify favorite, disliked, or normal data that is the listener's favorite information when the music is reproduced. With this designation, favorite, disliked, and ordinary data can be added to the score value and reflected, so that the music to be played is selected by taking this preference information into consideration when searching and playing the music after the designation. Thus, the tasting function is exhibited, and the listener can listen to the music with higher sensitivity by accumulating his / her preference.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings. Note that components having the same function are denoted by the same reference symbols throughout the drawings for describing the embodiment of the invention, and the repetitive description thereof is omitted.

Example 1 is a music selection method for an in-vehicle audio device used together with a car navigation device.

It relates to the playback method. 1 to 15 are diagrams related to a music selection / playback method according to the first embodiment of the present invention. FIG. 1 is a schematic block diagram showing a functional configuration of a music selection / playback apparatus used in the music selection / playback method according to the first embodiment of the present invention.

  As shown in FIG. 1, the music selection / playback apparatus 1 includes an audio device 4 that receives predetermined data and plays the music, and a display device 7 that receives the predetermined data and displays the data on the screen. . The audio device 4 outputs the sound source data designated by the music reproduction control unit 3 as sound. The display device 7 outputs display data designated from the display control unit 6.

  The music selection / playback apparatus 1 has a parameter input unit 8 for inputting the vehicle and the surrounding situation of the vehicle and the mood of the listener as parameters, or performs data exchange with the car navigation system 2. ing. The parameter input unit 8 includes at least a GPS (Global PosiTioning SysTem) 10, a sensor 12, and a touch panel 13.

  A GPS (Global Positioning System) 10 receives radio waves from a plurality of orbiting satellites with an antenna 9, and specifies date and time, latitude, and longitude.

  Although not shown, various sensors are arranged in the sensor 12. Various sensors are mounted on the automobile (own vehicle) on which the listener rides. Examples of sensors used in the music selection / playback method include a temperature / humidity sensor for measuring temperature and humidity, and water droplets on the windshield of the automobile. There is a wiper operation sensor that detects an operation mode of a wiper that performs an operation of removing the wiper. The wiper operation sensor senses (detects) the operation forms (sections) of the wiper stop, the low speed operation, and the high speed operation.

  The touch panel 13 is built in the surface of the display device in the display device 7 and has a structure in which contact with the display surface of the display can be input as display surface coordinates.

  The car navigation system 2 is a support system for instructing and guiding a driver by teaching a driver who also serves as a listener the position of the vehicle acquired by GPS via a display, finding a route that can smoothly travel to a destination. When the car navigation system 2 is included, the parameter input unit 8 and the output unit 5 are shared by the car navigation system 2 and the music selection / playback apparatus 1. In this case, the parameter input control unit 14 can input parameters as converted data from the car navigation system 2 by the method 2 shown in FIG.

In the music selection / playback method according to the first embodiment, the data input from the parameter input unit 8 is converted, and these are used as parameters of a unique music selection algorithm. The parameters include the own vehicle and its surrounding information input from the GPS 10 and the sensor 12, and listener information (instruction) input from the touch panel 13.
The parameters in the first embodiment are composed of seven parameters such as season, day of the week, time zone, travel speed, destination, weather, and mood, as listed at the left end of the table of FIG. Each parameter has a plurality of selection values. This is a keyword indicating the current situation of the own vehicle situation, the surrounding situation of the own vehicle, and the situation of the listener, or an attribute value of each music piece. These parameters are for scoring the degree of matching of the music attribute value and the keyword, thereby evaluating the degree of suitability of the music in the situation. The scored score is referred to as a score value, and the Tth (Tth) score is selected sequentially from the highest score value and is reproduced by the audio device 4.

  Each parameter has a plurality of selection values, but any one selection value is selected as a song attribute value for the song attribute. In this case, when one selection value cannot be selected, “all (ALL)” is given as a special selection value instead of the selection value.

  For example, in the case of the season parameter, the selected value is spring, summer, autumn, or winter, but the song data (song attribute data) has any season of spring, summer, autumn, or winter, and the season The music selector determines and sets whether or not can be specified. At this time, if the season can be specified, the specified season is set as the song attribute value, and if the song cannot be specified, the special selection value “all” is set as the song attribute value of the season parameter. This relationship is the same for other parameters. The parameters and selection values are shown in FIG.

  The selected values for the seasonal parameters are spring, summer, autumn and winter. March-May is spring, June-August is summer, September-November is autumn, and December-February is winter.

  The selection values for the day of week parameter are the beginning of the week, the week, the weekend and the holidays. Monday is the beginning of the week, Tuesday to Thursday is the week, Friday is the weekend, and Saturday to Sunday is the holiday.

  The selected values in the time zone parameter are morning, noon, evening, night and midnight. From 4:00 to less than 10:00 in the morning, from 10:00 to less than 16:00 as noon, from 16:00 to less than 19:00 as evening, from 19:00 to less than 22:00 as night, The midnight is from 00 to less than 4:00.

  The selected values in the speed parameter are low speed, medium speed and high speed. The running speed of the automobile is less than 30 km / hr, the intermediate speed is less than 30 to less than 60 km / hr, and the speed is more than 60 km / hr.

  The selected values for the destination parameter are city, suburb, seaside and mountainous area.

  The selected values for the weather parameters are sunny, cloudy, rainy and stormy.

  Selected values for mood parameters are refreshing, normal, uncomfortable and lonely.

  In the upper left of FIG. 12, the song attribute value of a certain song is shown. In addition, in the upper right of FIG. 12, the current parameter and the content that is converted into a keyword are shown.

  The degree of coincidence between the music attribute value and the keyword is determined. When the keyword and the music attribute value match, the score (factor value) is 2, and when they do not match, the score (factor value) is 0. The case where the value is “all (ALL)” which is a special selection value is set to a score (factor value) of 1. The factor value is shown in the middle left of FIG.

  Further, as shown in the middle right part of FIG. 12, each parameter is given a weight value (factor weight value) ranging from one to two digits indicating the influence degree of the parameter at the time of scoring. In the case of the first embodiment, the weight value is the largest in the season, and is gradually decreased in the following order: weather, destination, speed, mood, time zone, day of the week. The numerical values of these weight values are not limited to this, and are determined according to the embodiment.

  The data in the parameter input unit 8 is sent to the parameter input control unit 14 as shown in FIG. The parameter input control unit 14 converts the input value of each parameter input from the parameter input unit 8 into a parameter and determines a keyword. In parameter conversion, the season, day of the week, and time zone keyword are determined from the current time information from the GPS 10, and the speed keyword is determined from the difference in position information. In addition, the weather keyword is determined from the temperature, humidity, and wiper operation values input from the sensor 12, and the mood and destination keywords are determined by comparing the input coordinate values from the touch panel with the button positions on the screen. Say that.

  Among the seven parameters, speed is a parameter that represents the situation of the vehicle, season, day of the week, time zone, and weather are parameters that represent the situation of the surroundings of the vehicle, and location (destination) and mood are parameters that represent the situation of the listener. It becomes. Then, the selection value that is the current state is selected from each selection value of each parameter, that is, selection (specification) of the selection value to be a keyword is based on the input from the parameter input unit 8. Done in The output data of the parameter input control unit 14 is sent to the music search unit 15. In addition, when adding / updating music, it is sent to the storage unit configuration control unit 22.

The parameter input control unit 14 converts the parameter data from the parameter input unit 8 into a keyword when the listener touches the name selector button on the touch panel 13 on the screen of FIG. 7 displayed on the display device 7. To the music search unit 15.
Of the seven parameters, the listener inputs the destination selection value (city, suburb, seaside, mountainous area) and the listener's mood selection value (exhilarating, normal, uncomfortable, lonely) from the touch panel 13 screen of FIG. To do. The selection value selected by this input becomes a keyword.

  The keyword of the parameter season, day of the week, and time zone is obtained by selecting each selection value from the date / time information from the GPS 10. For example, if the GPS 10 information is July 20, 2005, 10:20:50, the seasonal parameter selection value is summer because the month is identified from the table of FIG. It will be summer. Similarly, since the day is specified, the selection value of the day parameter can be specified, and the keyword of the day parameter is determined to be during the week. Similarly, since the time is specified, the selected value of the time zone parameter is specified, and the keyword of the time zone parameter is daytime.

The keyword of the traveling speed parameter can be obtained from the received data by the GPS 10. As shown in FIG. 10, position information P ₀ (x ₀ , y ₀ ), P ₁ (x ₁ , y ₁ ), P ₂ (x ₂ , y ₂ ), P sent from the GPS 10 at intervals of 1 second. ₃ (x ₃ , y ₃ ), P _n (x _n−1 , y _n−1 ), and P _n (x _n , y _n ), P ₀ (x ₀ , y ₀ ) to P _n (x _n , The average speed (traveling speed) S of y _n ) is obtained.

  The traveling speed S is given by the following equation (1).

[Equation 1]
n
S = (Σ · √ (Δx ² + Δy ² ) / n
k = 1
Here, n: Average speed measurement time interval Δx: Amount of movement per second in the x (longitude) direction
Δx = x _k −x _k−1
Δy: Amount of movement per second in the y (latitude) direction
Δy = y _k −y _k−1
For example, when the traveling speed S obtained by Equation 1 is 65 km / hr, a high speed is selected as the selected value as can be seen from FIG. 4, and the keyword of the traveling speed parameter is high speed.

  For example, the weather parameter keyword is selected from the table shown in FIG. The table of FIG. 11 shows the temperature and humidity detected by the above-described temperature and humidity sensor attached to the own vehicle, the wiper operation mode detected by the above-described wiper operation sensor attached to the own vehicle, and the selected value of the weather. Select from the table based on the combination of sunny, cloudy, rainy, and stormy weather.

  As shown in FIG. 11, the operation mode of the wiper is divided into three operation modes (sections) of stop, low speed, and high speed, and it is detected which operation mode (section) the actual wiper operation is in. Moreover, as shown in FIG. 11, the temperature is divided into, for example, a temperature range of less than 15 ° C., a temperature range of less than 15 to 25 ° C., and a temperature range of 25 ° C. or more, and the actual temperature is any temperature. Detect if it is in range. Furthermore, as shown in FIG. 11, the humidity is divided into three categories, for example, a humidity range of less than 50%, a humidity range of 50 to less than 70%, and a humidity range of 70% or more, and the actual humidity is any humidity. Detect if it is in range.

  As shown in FIG. 11, the weather selection value of sunny, cloudy, rainy, and stormy weather, which is a weather selection value, is determined by a combination of the operation mode of the wiper, the temperature range and the humidity range, or a single category. Accordingly, it is possible to specify one of clear, cloudy, rainy, and stormy weather according to the wiper operation mode by the wiper operation sensor and the temperature range and humidity range by the temperature and humidity sensor.

  The music selection / playback apparatus 1 has a music data input unit 16 for inputting data of each music. The music data input unit 16 includes at least a digital radio tuner 18 including an antenna 17 that uses terrestrial digital audio broadcasting (1, 3 segment broadcasting) as an input source, and an external storage media reader 19 such as a memory card. Yes.

  The music data is input from the digital radio tuner 18 and the external storage media reader 19 as shown in FIG.

  The music data input from the music data input unit 16 is composed of sound source data and music attribute data including a music selector (set) name.

  The data of each piece of music acquired by the digital radio tuner 18 is sent to the music data extraction unit 20 to extract the sound source data and music attribute data including the music selector name. In the case of terrestrial digital audio broadcasting, as shown in FIG. 3, the broadcasting consists of audio broadcasting and data broadcasting. Therefore, the audio broadcast and the data broadcast are separated, and the music attribute data including the sound source data and the music selector name is extracted from the data broadcast. Then, the sound source data and the song attribute data are sent to the storage unit configuration control unit 22.

  The music reading data (output data) of the external storage media reader 19 is sent to the external storage reading unit 21. The external storage reading unit 21 reads the sound source data and the song attribute data from the music data, and sends the read data to the storage unit configuration control unit 22.

  In the storage unit configuration control unit 22, each selection value that is an output of the parameter input control unit 14, music source data extracted by the music data extraction unit 20 or the external storage reading unit 21, and music attribute data including a music selector name, Enter and process. This processing is performed by inputting the sound source data and the music attributes input to any one of the set 39 including the sound source data 35, the music attribute list (song attribute table) 36, and the score data list (score data table) 37 as shown in FIG. Is to add data. A set indicates a song selector, for example, one set is a music critic's selection, one set is a radio personality selection, and one set is a performer selection. is there.

  The sound source data 35 is finally sent to the audio device 4 and reproduced as sound.

  As shown in FIG. 6, the song attribute list 36 holds song attribute records with one song as one record. The items in the song attribute record include a song ID indicating the song identification number, a song feeling that is data representing the feeling of the song, a song title indicating the song title, the name of the artist who is playing the song, Each item of a sound source index representing sound source data is included. In the music feeling item, the seven parameter values already described are stored.

  As shown in FIG. 6, the score data list 37 holds score data records with one song as one record. The items in the score data record include the song ID indicating the song identification number, the song score value scored with the current keyword, the preference specified by the listener when playing the song, and the last time the song was played last Each item of the last reproduction date and time indicating the date and time. When a song is newly acquired, the score value, the preference level, and the last reproduction date / time are blank.

  The listener can reflect the degree of preference in the music selection score by using the touch panel 13 during music reproduction. The listener can input the degree of preference by touching the music playback screen 60 of the touch panel shown in FIG. Since the music playback screen 60 is provided with a preference level selection button 61 displayed as likes or dislikes, the user can touch the desired preference level selection button 61 while listening to music to select either likes or dislikes. Can be entered. If the user does not select “like” or “dislike” by the end of reproduction of the music, the degree of preference does not change and is assumed to be normal.

  On the music playback screen 60, a music name display field 62 is displayed in the upper left corner so that the set selected by the listener can be known. Below that, an artist name display field 63 and a title name display field 64 are arranged. For the artist name and title name, the attributes of the music being played on the audio device 4 are displayed. Also, a music selector selection button (music selector selection screen transition button) 65 is arranged in the lower left corner. When the music selector selection button 65 is touched, a music selector selection screen 40 shown in FIG. 7 is displayed on the display device 7, and another music selector (collection) can be selected.

  The music selection / playback apparatus 1 includes a music search unit 15. The music search unit 15 searches all the music data 38 filed in the music selection set 39 by the music selector selected by the listener, and the degree of match (match, mismatch) of each music attribute value for each keyword of each parameter. ) And “all”, and the Tth (Tth) item is selected in order from the highest score value, and the sound source data 35 is sent to the audio device 4 to be reproduced.

  Each part of the music selection / playback apparatus 1 shown in FIG. 1 is controlled by the main control unit 11 although not shown in detail. The main control unit 11 performs all control by giving all the input / output instructions to each unit.

  Next, a music selection / playback method will be described with reference to the flowchart of FIG. As shown in FIG. 4, the music selection / playback operation is started (S01). At the start of music selection reproduction, a music selector selection screen 40 shown in FIG.

  In the state of starting music selection playback, the initial setting data 34 shown in FIG. 6 has already been created, and the sound source data, music attribute data, etc. of each music are stored as music data 38 in any of the sets 1 to N. ing.

  Next, parameter acquisition (S02) is performed. In this process, acquisition of a destination parameter and a mood parameter representing the situation of the listener is performed. That is, the destination and mood parameters are acquired by input from the parameter input unit 8 of the listener or input from the car navigation system 2. In this step, the destination / mood selection screen 50 shown in FIG. 8 is displayed by the listener touching the destination / mood button 41 portion on the music selector selection screen 40 shown in FIG. When the listener selects (touches) any one of the destination buttons 51 and the mood buttons 52 on the destination / mood selection screen 50, the parameter input control unit 14 sets the destination and mood parameter keywords. Respectively. Thereafter, when the listener touches the return button 53, the screen of the music selector selection screen 40 of FIG. 7 is displayed. The touch panel operation by the listener so far is processed by the following control procedure 1.

[Control procedure 1]
(1) The parameter input control unit 14 receives an input from the touch panel 13.
(2) The parameter input control unit 14 determines which button is touched from the displayed screen and coordinate position, and performs keyword conversion in the case of touching the destination button 51 and mood button 52 for selecting parameters. In the case of the destination / mood button 41 and the return button 53 which are screen transition buttons, the display control unit 6 is instructed to display the next screen.
(3) Upon receiving the instruction, the display control unit 6 causes the display device 7 to display the instructed screen.

  Next, a set selection (S03) step is performed. The listener touches the music selector name button 42 of the favorite music selector from the music selector (collection) selection screen 40 of the touch panel of FIG. The selected music selector means a set, and the listener has selected one of the sets 1 to N by touching the name selector button. For example, when the listener selects a music selector in the set 1, the music attribute list 36, the score data list 37, and the sound source data 35 shown as a table in FIG. At this time, 1 is added to the number of times of corresponding set selection in the initial setting data 34. In the music selector (collection) selection screen 40 shown in FIG. 7, a predetermined number of numbers are displayed in order from a higher number to a lower number in the music selector selection button field 45 in the center of the screen. In the embodiment, five levels are displayed vertically. On the music selector (set) selection screen 40, sets 1 to 5 among the sets 1 to N selected by the music selector are displayed. The listener can select a music selection (set) of a desired music selector by touching any music selector name button 42.

  When all the music selectors (collections) cannot be displayed in the music selector selection button field 45, a scroll button 43 is displayed on the screen portion on the left side of the music selector name button (music selector selection button) 42. From the top to the bottom, “Up”, “Page Up”, “Page Down”, and “Down” buttons are arranged.

When the “Up” button is touched, one uppermost music selector name button disappears, and a lower music selector name button appears at the bottom of the touch screen instead. That is, when the “Up” button is touched once, the music selector name button of the group 2 is displayed at the top of the music selector selection button column 45 and the music selector name buttons of the group 6 are displayed at the bottom. become. Similarly, when “Down” is touched, one of the lowest music selector name buttons disappears, and a higher music player name button appears instead at the top of the touch screen. If “Page Down” is touched, the group of music selector name buttons appearing on the touch screen are all disappeared, and a group of music selector name buttons subordinate to the group of music name buttons that have appeared are displayed. Similarly, if “Page Up” is touched, all of the group of name selector buttons appearing on the touch screen disappear, and a group of name selector buttons of a higher rank than the group name selector buttons appearing are displayed. . By operating the scroll buttons 43, the listener displays a music selector name button 42 of a favorite music selector, and touches the music selector name button 42 to select the music selection (set) of the music selector.
The control of the touch panel operation by the listener in this step is operated by the following control procedure 2.

[Control procedure 2]
(1) The parameter input control unit 14 receives an input from the touch panel 13.
(2) The parameter input control unit 14 determines which button is touched from the displayed screen and coordinate position, and in the case of touching the music selector selection button 42, determines a set to be used, and scroll buttons 43 In this case, the display control unit 6 is instructed to change the scroll button field.
(3) Upon receiving the instruction, the display control unit 6 causes the display device 7 to display the instructed screen.

  Next, as shown in FIG. 4, the current date and time, the traveling speed of the host vehicle, and weather data are acquired, and the keyword is determined (S04). This process is an additional acquisition process of parameters, and acquires predetermined parameter information immediately after selecting a set. In this additional parameter acquisition step, as shown in FIG. 2, there are a method of acquiring a parameter from the car navigation system 2 and a method of acquiring from the parameter input unit 8. Hereinafter, a method of determining parameters (keywords) from various data input from the parameter input unit 8 will be described. First, parameters of the season, day of the week, and time zone are selected from the date / time information obtained from the GSP 10. For example, if the date and time information is July 20, 2005, 10:20:50, the month is specified from the table of FIG. 4, so the seasonal parameter keyword is summer, and the day is specified in the same way. Therefore, the keyword of the day parameter is determined to be during the week. Similarly, since the time is specified, the keyword of the time zone parameter is specified as daytime.

Next, the travel speed data of the host vehicle is obtained from the movement amount of the position information of the GPS 10, and the travel speed of the host vehicle is calculated by the equation 1 already described. For example, when the traveling speed S of the own vehicle is 65 km / hr, a high speed is selected as the keyword of the speed parameter as can be seen from FIG .

  Further, data from the sensors (sound humidity sensor and wiper operation sensor) are analyzed, and keywords of weather parameters are determined from the combinations shown in FIG.

  Next, as shown in FIG. 4, a scoring process for scoring all songs (all music data 39) in the set is performed (S05). In the first embodiment, the parameter score of each parameter of the music attribute set in all music data 38 included in the set 1 is calculated. Thereafter, the sum of the parameter scores is calculated to obtain the overall parameter score. In the first embodiment, instead of simply obtaining the total parameter score, the total parameter score obtained by adding the weight value (factor weight value) to each parameter, that is, the first score value is calculated.

  Through the steps S02 and S04, seven parameter keywords are selected. Also, before starting the music selection reproduction, the song attribute value of the parameter of each song data 38 is determined as already described. The contents of the music attribute column in the upper left of FIG. 12 are the music attribute values of a certain music. The song attribute value is summer for the seasonal parameter, clear for the weather parameter, seaside for the destination parameter, ALL (all) for the speed parameter, day of week parameter, and time zone parameter, and refreshing for the mood parameter. . This is a situation in which the music selector of this music uses the situation that the music matches as a parameter.

  Next, the music attribute value and the keyword of the parameter of the current surrounding situation are compared and determined to calculate the score (factor value). The factor value is 2 when the keyword and the song attribute value match, the factor value is 1 when the song attribute value is ALL (all), and the factor value is 0 when the keyword and the song attribute value do not match. Therefore, as described in the factor value column on the left in the middle of FIG. 12, the factor value is 2 for the season, 0 for the weather, 0 for the destination, 1 for the speed, 1 for the day of the week, and 1 for the time zone. , I feel 0.

  On the other hand, in order to make the influence on scoring at the time of music selection large for a certain parameter and small for a certain parameter, a score for weighting each parameter, that is, a weight value (factor weight value) is determined in advance. In the case of the first embodiment, this is stored in the storage unit 23 as initial setting data 34 in order to optimize this music selection system as music (music) that flows in the car during driving. In the case of the first embodiment, the factor weight values are set in the order of season, weather, destination, travel speed, mood, time zone, and day of the week. As shown in the factor weight value column in the middle of FIG. 12, the season is 23, the weather is 21, the destination is 19, the travel speed is 15, the day of the week is 7, the time zone is 9, and the mood is 13.

As shown in FIG. 12, this factor weight value shifts each factor value by the number of bits specified by the corresponding factor weight value (2 ^n-1 times). For each of these parameters, a parameter score is calculated in consideration of the weight value.

  Next, the sum of the respective parameter scores taking the weight value into account is calculated to obtain a parameter total score taking the weight value into account. The parameter total score including the weight value is referred to as a first score value. The lower part of FIG. 12 shows the number of parameter points reflecting the factor weight value and the first score value that is the sum thereof.

  Next, as shown in FIG. 4, an exclusion process is performed for excluding unmatched music from the music selection candidates under the condition of the minimum matching attribute (S06: filtering function). That is, after calculating the score values of all the music pieces in the set 1, the music pieces that do not match it are excluded by comparison with a parameter (factor weight value) that is a minimum matching attribute.

FIG. 13 is a chart showing the filtering function performed in the filtering step. In the first embodiment, the season is the minimum matching attribute. The same 23 as the seasonal factor weight value is designated as the minimum matching attribute. The number obtained by multiplying the value n by 1 × 2 ⁿ⁻¹ (1 × 2 ²² ) is used as a filter condition. The filter condition value is compared with the first score value, and if the first score value is smaller than the filter condition value, the minimum match condition is not satisfied and the music data 38 is selected. Exclude from candidates.

  Next, as shown in FIG. 14, a step of adding the degree of preference (preference) selected by the listener when the music has been reproduced in the past to the scoring is performed (S07: tasting step). The degree of preference used in the tasting process is specified by the listener from the touch panel 13 on the music playback screen 60 shown in FIG.

FIG. 14 is a chart showing a tasting function performed in the tasting process. As shown in FIG. 14, the value of “favorite” is held as a score (factor value) of “like = 2”, “hate” = 0, and “normal” = 1 by designating the listener. A weight value (factor weight value) is set in advance in the initial setting data 34 for the degree of preference (preference). In the case of the first embodiment, the favorite factor weight value is 15. Therefore, as shown in FIG. 14, the favorite factor value is obtained by shifting the favorite factor value by the number of bits designated by the favorite factor weight value (2 ^n-1 times). Then, as shown in the bottom table of FIG. 14, the first score value and the preference value are added together to obtain the second score value.

  Next, as shown in FIG. 14, all the music data 38 in the set 1 are examined, the last reproduction time of the music (music) is compared with the current time, and music that has not passed a certain time is selected from the music selection candidates. The process to exclude is performed (S08: Repeat guard function). The predetermined time for the determination condition is preset in the initial setting data 34 as shown in FIG.

  Next, as shown in FIG. 14, the number of songs having a high parameter total score (score value) as a scoring result is selected (S09). That is, the second score value (parameter total score) in all the music data 38 of the set 1 is searched, and T pieces of music data 38 having the lowest score value are selected from the music having the highest second score value. To do. These music pieces are determined to be most suitable for the current situation of the listener, and the top T music pieces are selected.

  Next, as shown in FIG. 4, the order of the T pieces of music data 38 having a high second score value (parameter total score) is changed (randomized) regardless of whether the second score value is high or low. (S10). As a result, when there are few songs that match the current situation and the number of selected songs is limited, the playback order is changed to prevent playback in the same order.

  Next, as shown in FIG. 4, the sound source data 35 of the highest-order music in the order determined in the music data 38 is sent to the audio device 4 to reproduce the music (S11). The sound source data 35 filed as the music data 38 is reproduced from the audio device 4.

  Next, as shown in FIG. 4, it is determined whether or not the reproduced music is the T-th (T-th) music (last music) when the reproduction of the music (music) is completed. (S12). If it is the last song (Tth song), the process returns to step S04, the current parameter is additionally acquired again, and the above steps S04 to S11 are performed again to reproduce the song. If it is not the last song (Tth song), the process proceeds to the next step (S13).

  S13 is a step of determining whether or not there is a reproduction stop request. If there is no stop request, the process returns to step S11 and the reproduction of the music is continued. In this case, the music corresponding to the music data 38 of the next rank that has already been played is played back. If there is a stop request, the process proceeds to the next step (S14) to finish the music selection reproduction. The stop request is made when the listener selects another music selector from the touch panel 13 and executes S03. For example, when the listener touches the music selector selection button 65 on the music playback screen 60 shown in FIG. 9 while the music is being played back, the music selector selection screen 40 shown in FIG. This is performed when another music selector name button 42 (for example, the music selector name (5)) is touched.

  Next, a method for adding music data (music database addition / update) will be described.

  It is assumed that the music database additional update process is constantly or periodically updated.

  As shown in FIG. 3, the music database is updated by extracting and updating sound source data and attribute data from a data broadcast included in terrestrial digital audio broadcasting (digital radio) (means 1), and on an external storage medium. There is a method (means 2) for updating a music database with stored sound source data and attribute data. By updating the music database, music that is always fresh for the listener can be provided. However, in order to make effective use of the limited storage unit, if the storage area becomes insufficient due to the addition of music, the music data that does not match the listener's preference or is less likely to be viewed for the time being is deleted, and new An area for storing music data is secured.

  The music database addition / update process is performed in steps S101 to S114 shown in FIG. For example, as shown in FIG. 3, the listener inserts an external storage medium into the external storage media reader 19 or the music data extraction unit receives music data 38 with input from the digital radio tuner 18. (S101). The music attribute of the music data acquired at this time includes an attribute representing the music selector (collection).

  Next, it is determined whether or not the additional song size (new song data) is larger than the free space (S102). If the additional song size is smaller than the free space, the process proceeds to the step of adding song data to any of the sets 39 shown in FIG. 6 (S112). That is, the remaining capacity of the storage unit 23 is checked, and if new music data (attributes, sound source data) can be added, the data is stored and the process ends. If the remaining capacity is insufficient, that is, if the additional song size is better than the free capacity, the process proceeds to the next step (S103).

  In step S103, a parameter obtained from the listener at the time of the previous music selection reproduction is used.

  Next, the listener selects a set having a low selection frequency at the time of reproduction from set 1 to set N (S104). The set selection frequency is known from the number of set selections in the initial setting data 34.

  Next, additional parameter acquisition is performed as in S04 of FIG. 4 (S105). That is, in this process, the selected values of season, day of the week, time zone, speed, and weather are acquired from the car navigation system 2 or various data input from the parameter input unit 8 are converted by the parameter input control unit 14. get. This selected value becomes a keyword for each parameter.

  Next, as in S05 of FIG. 4, all songs in the set by the selection are scored (S106). The degree of matching (matching degree) with the keywords collected in S103 and S105 is calculated with respect to the song attribute values of the parameters of the song feeling of all songs (all song data 38) in the set. Since this calculation has been described in the description of the flowchart of FIG. A song with a lower score value (first score value) is a song that does not match the situation at that time.

Next, similarly to S06 in FIG. 4, the matching music (music) is excluded from the music selection candidates under the condition of the minimum matching attribute (S107: filtering function). The filtering function in step S107 is different in that the incompatible song is excluded from the song selection candidates while the filtering function in S06 in FIG. 4 is excluded from the song selection candidates. By performing a process opposite to the process shown in FIG. 13, the matched music can be excluded from the music selection candidates. As shown in FIG. 13, the factor value n of the lowest matching attribute is converted into a 1 × 2 ⁿ⁻¹ numerical value, and this value is compared with the score value of each song. It is determined that the matching attribute is satisfied, and is excluded from the song selection (deletion) candidates.

  Next, similarly to S07 of FIG. 4, a step of adding a taste (song) of the music (music) selected by the listener in the past to the scoring (tasting function) is performed (S108).

  Next, one tune having the lowest parameter total score (score value) as a scoring result is selected by a search method reverse to S09 in the figure (S109). If there is no selection candidate, the next set with the lowest selection frequency is selected, and the processing from step S105 is executed (S110).

  Next, the music having the lowest score value selected in S109 is deleted (S111).

  Next, it is determined whether or not the additional song size is larger than the free space (S112). If the additional song size is smaller than the free space, the process returns to the step of selecting the song with the lowest score value (S109). If the additional song size is better than the free space, the process proceeds to the next step (S113). In other words, when there is a free space in which new music data can be added, the music data is added and the process ends. Step (S113) is a step of adding music data to a specific set 39 in the database (storage unit 23). After this music data is added to the database, the work is finished (S114).

  The music selection / playback method of the first embodiment has the following effects.

  (1) The listener simply selects one of the music selectors (sets) from set 1 to set N, and thereafter, the process is automatically performed, and the current vehicle situation, current listener status, and current Music pieces that are generally close to the situation around the vehicle are sequentially reproduced as T pieces. In other words, the selection of music data 38 corresponding to the music is performed in the following order. That is, the parameter score of each parameter is first determined by scoring the song attribute value of each parameter of the parameter representing the situation of the own vehicle, the parameter representing the situation of the surrounding situation of the own vehicle, and the parameter representing the situation of the listener and the keyword. calculate. Next, the parameter total score is calculated by calculating the sum of all the parameter scores. Next, the Tth (Tth) parameter from the top of the overall parameter score is selected from the top, and the music data 38 (sound source data 35) is sequentially sent to the audio device 4 to reproduce the music. As a result, you can listen to music that matches the current listener's situation (mood), not just music that matches the current situation of the vehicle and the current vehicle surroundings, and enjoy satisfying and comfortable music. be able to. Therefore, it is possible to enjoy a comfortable drive.

  (2) In scoring the music, only the music data 38 (music) of the set selected by the listener is scored, so that the scoring time can be shortened and the music selection waiting time can be shortened. Therefore, after the listener selects a set, the music is played in a very short time.

  (3) After reproduction of the music corresponding to the T pieces of music data 38 is completed, the T pieces of music data 38 can be automatically selected again. Playback can be performed. In this case, since the repeat guard function that excludes music for which the time from the last playback time to the current time has not passed a certain time is exhibited, it is possible to prevent the same music from being selected / played within a certain time period. be able to. Therefore, the listener never gets tired without repeatedly listening to the same music. In addition, when a user wants to listen to a song selected by another song selector, by selecting another set, the user can also listen to a song that matches the listener's mood and the situation of the vehicle and the surroundings of the vehicle.

  (4) The music attribute values of all the music data 38 in the predetermined set 39 are compared with the corresponding keyword, respectively, are compared with each other, are matched, and are all scored. A music piece is selected based on the score. In addition, since the T piece having the highest total parameter score is sequentially played back by the audio device 4, songs reflecting the situation of the vehicle and the surroundings of the vehicle and the situation of the listener are played sequentially. You can enjoy music with satisfaction and comfort.

  (5) Since the acquisition of music provides a means for automatically acquiring from the terrestrial digital audio broadcasting by the listener's receiving operation, it is possible to listen to new music one after another without being conscious, which is preferable for passive listeners It will be a thing. In addition, it is possible to update the music by bringing an external storage medium into the own vehicle and mounting the external storage medium on the external storage medium mounting portion of the navigation device.

  (6) In the method of scoring by adding a weight value to each parameter, the filtering function is exhibited and music that does not match the season, weather, destination, etc. is excluded. For example, because the highly important season, weather, and destination are highly weighted, “out of season”, “different weather”, “purpose” It is possible to exclude music such as “does not match the ground”. The weight values of these parameters can be set in the initial setting data 34 to influence the degree of influence of each parameter on music selection. For example, in the case of a song to be heard in the car as in the first embodiment, the weight value of the mood parameter is set low enough to not hinder driving.

  (7) In the method of specifying favorite, disliked, or ordinary data that is the listener's preference information during music playback, the favorite, disliked, or ordinary data may be added to the parameter total score and reflected according to the designation. Therefore, in the search and playback of the music after the designation, the playback music is selected by taking this preference information into consideration, the tasting function is exhibited, and the listener can listen to the music with higher sensitivity. It becomes like this.

  (8) As a method for selecting keywords by selecting the selected value of the weather parameter, the temperature and humidity detected by the temperature / humidity sensor, the operation mode of the wiper detected by the wiper operation sensor, and sunny, cloudy, rainy, and stormy weather are combined. Weather parameter keywords can be selected from the table.

  (9) In the music selection / playback method of the present invention, the keyword of each parameter based on the current situation and the music attribute value of each parameter of the music are compared, and the music (music data 38) is scored. If the keyword and music attribute value match, the factor value is set to 2, and if the keyword and music attribute value do not match, the factor value is set to 0. Then, in addition to scoring due to the match / mismatch between the keyword and the song attribute value, a song attribute value of “all (ALL)” is set by the special selection value, and the song attribute value of the song is “all (ALL)”. The factor value is 1, which is a score between the mismatch score and the match score. For this reason, the scoring method that employs “ALL” can express the degree of coincidence with multiple parameters more finely than simply assigning scores for matching and non-matching, and high quality. Music selection is possible.

  (10) According to the music selection / playback method of the present invention, a passive listener can be comfortable and always only by selecting a destination when he / she is in the car, a mood, and a music selector (set) of the music he / she wants to listen to. Listen to new music. Therefore, it is freed from audio device operations such as music selection during driving and media exchange, and a comfortable drive can be enjoyed.

  (11) According to the music selection / playback method of the present invention, by properly setting the music feeling data (parameters and selection values) attached to the music, the music that calms down during high-speed driving and the music that reduces irritation during high-speed driving It is also possible to help prevent accidents by playing songs that do not get sleepy at midnight without the driver (listener) being conscious.

  FIGS. 16 to 19 relate to the music selection / playback method according to the second embodiment of the present invention, and illustrate different portions from the first embodiment. FIG. 16 is a block diagram showing a functional configuration of a music selection / playback apparatus for performing a music selection / playback method in a portable music server according to a second embodiment of the present invention, and FIG. 17 is a flowchart showing a music selection / playback method according to the second embodiment. It is.

  The music selection / playback method according to the second embodiment relates to a music selection / playback method in the case of using a portable product such as a portable music server carried by a listener. The music selection / playback apparatus shown in FIG. 16 has a configuration in which the music selection / playback apparatus of the first embodiment shown in FIG. 1 and the car navigation system 2, the GPS 10, and the sensor 12 are not provided, but a clock 30 is used instead. ing.

  In the music selection / playback method according to the second embodiment, the parameter (running speed) related to the car is not used, and the music selection / playback is performed based on the parameter representing the listener's situation and the parameter representing the listener's surrounding situation. In the second embodiment, the parameters are a seasonal parameter with selected values of spring, summer, autumn and winter, a day of the week parameter with selected values of the beginning of the week, during the week, weekends and holidays, morning, noon, evening, night and midnight. Time zone parameter to be selected value, location parameter with city, suburb, seaside and mountain area as selected value (current location instead of destination), weather parameter with selected value as clear, cloudy, rain and stormy weather, refreshing, Usually, it has at least a mood parameter with selection values of discomfort and loneliness.

  A specific music selection / playback method will be described with reference to the flowchart of FIG. 17. As shown in FIG. 17, the music selection / playback operation is started (S201). As described in the first embodiment, the initial setting data 34 shown in FIG. 6 has already been created, and the sound source data, music attribute data, and the like of each music are stored as music data 38 in any of the sets 1 to N. .

  Next, parameter acquisition (S202) is performed. In this step, for example, a mood parameter that represents the situation of the listener, a location parameter that represents the situation of the listener, and a weather parameter are acquired. In the first embodiment, a parameter selection screen for selecting each selection value of the weather parameter is not prepared as the screen of the touch panel 13, but in the second embodiment, as one of the screens of the touch panel 13 as shown in FIG. A parameter selection screen 70 that can select each selection value is prepared. Thereby, the listener can select and input the selected values of the mood parameter, the location parameter, and the weather parameter from the touch panel 13. Each selected parameter becomes a keyword.

  Next, as in the first embodiment, the listener performs a set selection step of selecting any one of the sets 1 to N as the music selector name from the music selector selection button column 45 of the touch panel in FIG. S03). For example, set 1 is selected.

  Next, as shown in FIG. 17, a step (S204) of acquiring data of the current date and time from the clock 30 of the parameter input unit is performed. From this date / time data, the keywords of the season, day of the week, and time zone are selected as in the first embodiment. Thereby, the keyword of all the six parameters is specified. These six keywords are selection values representing the current listener status and the current listener surrounding status.

  Next, as shown in FIG. 17, a scoring process for scoring all the songs (all music data 38) in the set is performed as in the first embodiment (S205). In the first embodiment, each parameter displayed on all the music data 38 in the set 1 is scored, and the parameter score of each parameter is calculated. Thereafter, the sum of the parameter scores is calculated to obtain the overall parameter score. Also in the second embodiment, instead of simply obtaining the total parameter score, the total parameter score obtained by adding the weight value (factor weight value) to each parameter, that is, the first score value is calculated. As described in the first embodiment, the music attribute value of the parameter of each music data 38 is determined before the music selection reproduction is started.

  Therefore, as in the first embodiment, the keyword of the music attribute value of each parameter is compared and determined to calculate the score (factor value). The factor value is 2 if the keyword and the song attribute value match, the factor value is 1 if the song attribute value is “ALL (all)”, and the factor value is 0 if the keyword and song attribute value do not match.

  On the other hand, in order to make the influence of the selection of parameters at the time of music selection large for a certain parameter and small for a certain parameter, in the second embodiment, as in the first embodiment, points for weighting each parameter, that is, a weight value (factor weight value) Is attached to each parameter. The factor weight value is 23 for the season, 21 for the mood, 19 for the weather, 17 for the place, 7 for the day of the week, and 9 for the time zone.

Therefore, although not shown, the factor value is shifted by the number of bits specified by the factor weight value (2 ^n-1 times) as in the ^first embodiment, and the parameter score is calculated by taking the weight value of each parameter into consideration.

  Next, as in the first embodiment, the sum of the respective parameter scores taking the weight value into consideration is calculated, and the parameter total score (first score value) taking the weight value into consideration is obtained.

  Next, as in the first embodiment, as shown in FIG. 17, an excluding step of excluding unmatched music (music) from the music selection candidates under the condition of the minimum matching attribute is performed (S206: filtering function).

  Next, as in the first embodiment, as shown in FIG. 17, a step of adding the degree of preference (preference) such as “like”, “dislike”, etc., selected by the listener in the past to the scoring (S207). : Tasting process).

  Next, as in the first embodiment, as shown in FIG. 17, all the music fixed data 38 in the set 1 are checked, and the final reproduction time of the music (music) is compared with the current time, and a certain time has passed. Those that do not exist are excluded from the music selection candidates (S208: repeat guard function).

  Next, as in the first embodiment, as shown in FIG. 17, the number of songs (T songs) having a high parameter total score (score value) as a scoring result is selected (S209).

  Next, as in the first embodiment, as shown in FIG. 17, the order of the selected T songs is randomly changed to determine the playback order (S210).

  Next, as in the first embodiment, as shown in FIG. 17, the music data 38 (sound source data 35) is sequentially sent to the audio device 4 according to the determined playback order to play back the music (S211).

  Next, as in the first embodiment, as shown in FIG. 17, is the T-th (T-th) song (last song) played when the song (music) has been played back? It is determined whether or not (S212). If it is the last song (T-th song), the process returns to step S204, additional acquisition of parameters is performed again, and the above-described steps S204 to S11 are performed again to reproduce the song. If it is not the last song (Tth song), the process proceeds to the next step (S213).

  S13 is a step of determining whether or not there is a reproduction stop request as in the first embodiment. If there is no stop request, the process returns to step S11 and the reproduction of the music is continued. In this case, the music corresponding to the music data 38 of the next rank that has already been played is played back. If there is a stop request, the process proceeds to the next step (S214) to finish the music selection reproduction.

  In this series of music selection / playback processing, if the listener selects (reselects) another set from the song selector (set) selection screen 40 on the touch panel, the music selection / playback that has been continued is stopped, and from step S203 of FIG. The next music selection / playback process is started.

  The music selection / playback method according to the second embodiment has the following effects.

  (1) The listener simply selects one of the music selectors (sets) from the set 1 to the set N, and thereafter, the process is automatically performed, and comprehensively based on the current listener situation and the listener's surrounding situation. T-tunes are played in sequence for the closest songs. In other words, the selection of music data 38 corresponding to the music is performed in the following order. That is, first, the parameter score of each parameter is calculated based on the comparison attribute scoring between the song attribute value of each parameter of the parameter representing the listener situation and the parameter representing the listener's surrounding situation. Next, the parameter total score is calculated by calculating the sum of all the parameter scores. Next, the T-th parameter from the top of the overall parameter score is sequentially selected from the top, and the music data 38 (sound source data 35) is sequentially sent to the audio device 4 to reproduce the music. As a result, it is possible to listen to music that matches the current situation (mood) of the listener and the surrounding situation of the current listener, and to enjoy satisfactory and comfortable music.

  (2) In scoring the music, only the music data 38 (music) of the set selected by the listener is scored, so that the scoring time can be shortened and the music selection waiting time can be shortened. Therefore, after the listener selects a set, the music is played in a very short time.

  (3) After reproduction of the music corresponding to the T pieces of music data 38 is completed, the T pieces of music data 38 can be automatically selected again. Playback can be performed. In this case, since the repeat guard function that excludes music for which the time from the last playback time to the current time has not passed a certain time is exhibited, it is possible to prevent the same music from being selected / played within a certain time period. be able to. Therefore, the listener never gets tired without repeatedly listening to the same music. In addition, when a user wants to listen to a song selected by another song selector, the user can listen to a song that matches the listener's situation (mood) and the listener's surroundings by selecting another set.

  (4) The music attribute values of all the music data 38 in the predetermined set 39 are compared with the corresponding keyword, respectively, are compared with each other, are matched, and are all scored. A music piece is selected based on the score. In addition, since T pieces having a high overall parameter score are played back by the audio device 4, songs reflecting the listener's situation and the surrounding situation of the listener are sequentially played, and the listener enjoys music comfortably and comfortably. be able to.

  (5) Since the acquisition of music provides means for automatically acquiring from terrestrial digital audio broadcasting by the listener's receiving operation, new music can be listened to one after another without being conscious of it. This is preferable. It is also possible to update the music by bringing an external storage medium into the vehicle and mounting it on the external storage medium mounting portion of the navigation device.

  (6) In the method of scoring by adding a weight value to each parameter, the filtering function is exhibited and music that does not match the season, mood, weather, etc. is excluded. For example, because of the high importance of season, mood, and weather, even if other parameters with low weight values such as time of day, day of the week, etc. match, `` out of season '', `` does not fit with mood '', `` It is possible to exclude music such as “different weather”.

  (7) In the method of specifying favorite, disliked, or ordinary data that is the listener's preference information during music playback, the favorite, disliked, or ordinary data may be added to the parameter total score and reflected according to the designation. Therefore, in the search and playback of the music after the designation, the playback music is selected by taking this preference information into consideration, the tasting function is exhibited, and the listener can listen to the music with higher sensitivity. It becomes like this.

  (8) In the music selection / playback method of the present invention, the music data 38 is scored by comparing the keyword of each parameter based on the current situation and the music attribute value of each parameter of the music. If the keyword and music attribute value match, the factor value is set to 2, and if the keyword and music attribute value do not match, the factor value is set to 0. Then, in addition to scoring due to the match / mismatch between the keyword and the song attribute value, a song attribute value of “all (ALL)” is set by the special selection value, and the song attribute value of the song is “all (ALL)”. The factor value is 1, which is a score between the mismatch score and the match score. For this reason, the scoring method that employs “ALL” can express the degree of coincidence with multiple parameters more finely than simply assigning scores for matching and non-matching, and high quality. Music selection is possible.

  The invention made by the present inventor has been specifically described based on the embodiments. However, the present invention is not limited to the above embodiments, and various modifications can be made without departing from the scope of the invention. Nor. In the embodiment, the parameter input method is directly input from the GPS 10, the sensor 12, and the touch panel 13 and the parameter input method is combined with the car navigation system 2. The latter is assumed to be installed in a multifunction machine that has both the functions of a car navigation system and an audio device.

  Furthermore, since the degree of influence of parameter selection on music selection is designated as a weight value, it is possible to create completely different music selection tendencies by changing the relationship of parameter weight values. Similarly, the preference factor weight value, the minimum matching attribute, and the like can be specified in the initial setting data 34, and the optimum music selection can be performed according to the purpose of use of the system.

It is a block diagram which shows the function structure of the music selection reproduction | regeneration apparatus used with the music selection reproduction | regeneration method which is Example 1 of this invention. It is a block diagram which shows the means to acquire a parameter in the said music selection reproduction apparatus. It is a block diagram which shows a means to acquire a music database in the said music selection reproduction apparatus. 3 is a flowchart illustrating a music selection / playback method according to the first embodiment. 4 is a chart showing parameters and selected values of the parameters in the music selection / playback method according to the first embodiment. It is a chart which shows the structure of the database in the music selection reproduction | regeneration method of Example 1, and the music data content of each music. It is an example of a screen which shows the initial operation screen of the said music selection reproduction apparatus. It is an example of a screen which shows the destination / mood parameter selection screen of the said music selection reproduction apparatus. It is an example of the screen at the time of the music reproduction of the said music selection reproduction apparatus. It is a figure and numerical formula explaining the method to acquire the average speed of the car in the music song selection reproduction | regeneration method of Example 1. FIG. 6 is a chart for explaining a weather parameter acquisition method in the music selection / playback method according to the first embodiment. 3 is a chart showing a music scoring method in the music selection / playback method according to the first embodiment. 6 is a chart showing a filtering function in the music selection / playback method according to the first embodiment. 3 is a chart showing a tasting function in the music selection / playback method according to the first embodiment. It is a flowchart which shows the music database addition method in the music selection reproduction method using the music selection reproduction apparatus of Example 1. FIG. It is a block diagram which shows the function structure of the music selection reproduction | regeneration apparatus which performs the music selection reproduction | regeneration method in the portable music server which is Example 2 of this invention. 10 is a flowchart illustrating a music selection / playback method according to the second embodiment. It is an example of a screen which shows the parameter selection screen in the music selection reproduction method of Example 2. It is a chart which shows the music scoring method in the music selection reproduction method of Example 2.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Music selection reproduction apparatus, 2 ... Car navigation system, 3 ... Music reproduction control part, 4 ... Audio apparatus, 5 ... Output part, 6 ... Display control part, 7 ... Display apparatus, 8 ... Parameter input part, 9 ... GPS Antenna for 10: GPS, 11: Main controller, 12: Sensor, 13: Touch panel, 14: Parameter input controller, 15: Music search unit, 16: Music data input unit, 17: Digital radio tuner antenna, 18 DESCRIPTION OF SYMBOLS ... Digital radio tuner, 19 ... External storage media reader, 20 ... Music data extraction part, 21 ... External storage reading part, 22 ... Storage part structure control part, 23 ... Storage part, 30 ... Clock, 34 ... Initial setting data, 35 ... sound source data, 36 ... music attribute list, 37 ... score data list, 38 ... music data, 39 ... set, 40 ... song selector (set) selection screen, 41 ... purpose / Mood button, 42 ... song selector name button, 43 ... scroll button, 44 ... back button, 45 ... song selector selection button field, 50 ... destination / mood selection screen, 51 ... destination button, 52 ... mood button, 53 ... Back button, 60 ... Music reproduction screen, 61 ... Preference selection button, 62 ... Selector name display field, 63 ... Artist name display field, 64 ... Title name display field, 65 ... Selection button selection button, 70 ... Parameter selection screen, 71 ... Location selection button, 72 ... Mood selection button, 73 ... Weather selection button, 73 ... Back button

Claims (35)

A music selection / playback method for an on-vehicle audio device that plays music,
Storing a parameter representing the situation of the vehicle, a parameter representing the situation around the vehicle, a parameter representing the situation of the listener, and a plurality of selection values associated with each of the parameters;
The music attribute data including the sound source data and the name of the music selector is acquired from the input data of each music, the presence / absence of the selection value is searched for each parameter, and one of the selection values can be selected. If the selection value is a song attribute value in the case, can not be selected, creating a song data having a song attribute value list as a special selection value "all" song attribute value,
A set 1 to set N file is provided for classifying the created music data for each music selector of the music, and each music data is allocated to a set of music selectors indicated by a music selector name included in the music attribute data. Memorizing process;
Selecting any one of the sets 1 to N by a listener;
The parameter that represents the current situation of the vehicle, the parameter that represents the current surrounding situation of the vehicle, and the parameter that represents the current situation of the listener are obtained from the data provided by the device installed in the vehicle and the input data input by the listener. Selecting a single selected value from the plurality of selected values in each parameter and selecting a keyword for each parameter;
For each piece of music data in the selected set, the degree of coincidence between the keyword and the piece attribute value is determined, the score is determined based on match, mismatch, “all”, and the parameter score of the parameter is obtained. A scoring step of calculating a total score of the parameters of the parameter and obtaining a score value that is a parameter total score of the music data;
A music selection step of selecting T pieces of music data having a high score value from the top;
A randomizing step for randomizing the order of the selected T pieces of music data;
A reproduction step of reproducing the music by sequentially transmitting the sound source data of the T pieces of music data that has been randomized to the audio device in the order of randomization;
A music selection / playback method comprising: When determining the degree of coincidence between the keyword and the song attribute value, a factor value of 2 is set when the keyword and the song attribute value match, and a factor value of 0 is set when the keyword and the song attribute value do not match. 2. The music selection / playback method according to claim 1, wherein a factor value of 1 is set when the attribute value is "all". The parameter is a seasonal parameter with selected values of spring, summer, autumn and winter, a day of the week parameter with selected values of the beginning of the week, during the week, weekends and holidays, and selected values of morning, noon, evening, night and midnight. Time zone parameters, speed parameters with selected values of low speed, medium speed and high speed, destination parameters with selected values of city, suburb, seaside and mountainous area, weather parameters with selected values of sunny, cloudy, rainy and stormy weather, 2. The music selection / playback method according to claim 1, further comprising a mood parameter having selection values of refreshing, normal, unpleasant and lonely. Between the scoring step and the music selection step, there is an excluding step of excluding, from the music selection candidates, any one of the music data in which the music attribute value of each parameter does not match the keyword. The music selection / playback method according to claim 1. An excluding step of comparing the last reproduction date and time and the current date and time of the music included in each piece of music data between the scoring step and the music selection step and excluding the music data that has not passed a predetermined time from the music selection candidates The music selection / playback method according to claim 1, further comprising: 2. The music selection / playback method according to claim 1, wherein, in the scoring step, each parameter is given a predetermined weight value and added to the parameter score. In the playback step of playing back the music, a favorite, dislike, or normal of the music being played is input, and a score corresponding to the favorite, dislike, or normal is added to the parameter score in the next scoring step. The music selection / playback method according to claim 1. A music selection / playback method for a portable audio device that plays music,
Storing a parameter representing the situation of the listener and a parameter representing the peripheral situation of the listener, and a plurality of selection values associated with each parameter;
The music attribute data including the sound source data and the name of the music selector is acquired from the input data of each music, the presence / absence of the selection value is searched for each parameter, and one of the selection values can be selected. If the selection value is a song attribute value in the case, can not be selected, creating a song data having a song attribute value list as a special selection value "all" song attribute value,
A set 1 to set N file is provided for classifying the created music data for each music selector of the music, and each music data is allocated to a set of music selectors indicated by a music selector name included in the music attribute data. Memorizing process;
Selecting any one of the sets 1 to N by a listener;
The parameter representing the current situation of the listener and the parameter representing the current surrounding situation of the listener are obtained from the data provided by the device equipped in the portable audio device and the input data input by the listener. Selecting one selected value from the plurality of selected values and selecting a keyword for each parameter;
For each piece of music data in the selected set, the degree of coincidence between the keyword and the piece attribute value is determined, the score is determined based on match, mismatch, “all”, and the parameter score of the parameter is obtained. A scoring step of calculating a total score of the parameters of the parameter and obtaining a score value that is a parameter total score of the music data;
A music selection step of selecting T pieces of music data having a high score value from the top;
A randomizing step for randomizing the order of the selected T pieces of music data;
A reproduction step of reproducing the music by sequentially transmitting the sound source data of the T pieces of music data that has been randomized to the audio device in the order of randomization;
A music selection / playback method comprising: When determining the degree of coincidence between the keyword and the song attribute value, a factor value of 2 is set when the keyword and the song attribute value match, and a factor value of 0 is set when the keyword and the song attribute value do not match. 9. The music selection / playback method according to claim 8, wherein a factor value of 1 is set when the attribute value is "all". The parameter is a seasonal parameter with selected values of spring, summer, autumn and winter, a day of the week parameter with selected values of the beginning of the week, during the week, weekends and holidays, and selected values of morning, noon, evening, night and midnight. Time zone parameters, destination parameters with selected values of cities, suburbs, beaches and mountains, weather parameters with selected values of clear, cloudy, rainy and stormy weather, mood parameters with selected values of refreshing, normal, unpleasant and lonely The music selection / playback method according to claim 8, further comprising: Between the scoring step and the music selection step, there is an excluding step of excluding, from the music selection candidates, any one of the music data in which the music attribute value of each parameter does not match the keyword. The music selection / playback method according to claim 8. An excluding step of comparing the last reproduction date and time and the current date and time of the music included in each piece of music data between the scoring step and the music selection step and excluding the music data that has not passed a predetermined time from the music selection candidates The music selection / playback method according to claim 8, further comprising: 9. The music selection / playback method according to claim 8, wherein, in the scoring step, each parameter is given a predetermined weight value and added to the parameter score. In the playback step of playing back the music, a favorite, dislike, or normal of the music being played is input, and a score corresponding to the favorite, dislike, or normal is added to the parameter score in the next scoring step. The music selection / playback method according to claim 8. A music selection / playback method for an on-vehicle audio device that plays music,
A preset parameter representing the situation of the vehicle, a parameter representing the surrounding situation of the vehicle, a parameter representing the situation of the listener, and a plurality of selection values associated with the parameters,
Create song data corresponding to each song by acquiring song attribute data including the sound source data and the name of the song selector from the data of each song entered,
In the music data, when the music attribute data of each music is searched and one of the selection values can be selected, the selection value is set as a music attribute value, and when it cannot be selected, all are selected as special selection values. A song attribute value list as song attribute values, and data for recording the last playback date of the song,
Further, the music data is sorted into a set of music selectors indicated by the music selector names included in the music attribute data among the files of the set 1 to the set N that classify the music data for each music selector,
Music playback
(A) a set selection step of selecting any one set from the set 1 to the set N by one listener;
(B) selecting one selected value from the plurality of selected values as a keyword based on data acquired from a device provided in the vehicle and data input by the listener, and the set selected with the keyword The music attribute values in all of the music data stored in are compared and determined to match, mismatch, scoring based on "all", to determine the parameter score for each parameter, and all the parameter scores Scoring process to calculate the total value of the parameters and obtain the score value that is the overall parameter score,
(C) an exclusion step of excluding from the song selection candidates those song attribute values that do not match a preset minimum matching condition keyword in each song data in the selected set;
(D) an excluding step of comparing the last reproduction date and time and the current date and time of the music included in each music data in the selected set and excluding the music data that has not passed a predetermined time from music selection candidates;
(E) a music selection step of selecting T pieces of music data having a high score value from the top;
(F) a randomizing step of arbitrarily rearranging the order of the T pieces of music data having a high score value;
(G) a playback step of sending music data of the music data in the selected set to the audio device for playback;
(H) When the reproduction of the music is completed, it is determined whether or not the music is the T-th music. If the music is the T-th music, the process returns to the scoring step (b) and again A determination step of scoring the set and proceeding to the next step if it is not the T-th song,
(I) After the determination step (h), it is determined whether or not there is a stop request for playback. If there is no stop request, the process returns to the playback step (g) to continue playback of the next piece of music. If there is a judgment process to proceed to the next process,
(J) After the determination step (i), an end step for ending the music selection reproduction;
A music selection / playback method comprising: When determining the degree of coincidence between the keyword and the song attribute value, a factor value of 2 is set when the keyword and the song attribute value match, and a factor value of 0 is set when the keyword and the song attribute value do not match. 16. The music selection / playback method according to claim 15, wherein a factor value of 1 is set when the attribute value is "all". The parameter is a seasonal parameter with selected values of spring, summer, autumn and winter, a day of the week parameter with selected values of the beginning of the week, during the week, weekends and holidays, and selected values of morning, noon, evening, night and midnight. Time zone parameters, speed parameters with selected values of low speed, medium speed and high speed, destination parameters with selected values of city, suburb, seaside and mountainous area, weather parameters with selected values of sunny, cloudy, rainy and stormy weather, The music selection / playback method according to claim 15, further comprising a mood parameter having selection values of refreshing, normal, unpleasant and lonely. Subsequent to the set selection step (a), (k) a step of acquiring a current date time and a traveling speed of the host vehicle, and the keywords of the season, day of week, and time zone parameters are determined from the date time. The music selection / playback method according to claim 17, wherein the keyword of the speed parameter is selected from the travel speed. The selection of the keyword of the weather that is the parameter is
The temperature and humidity detected by the temperature / humidity sensor attached to the host vehicle and the wiper operation sensor detected by the wiper operation sensor attached to the host vehicle are selected.
Divide the temperature and humidity into a plurality of temperature ranges and a plurality of humidity ranges in advance, and stop the movement of the wiper, classify into the operation mode of low speed operation and high speed operation,
The music selection / playback method according to claim 17, wherein the selected values of the weather, such as sunny, cloudy, rainy, and stormy weather, are selected as keywords by combining the classifications. In creating the music data,
Obtain sound source data and song attribute data from the song,
Based on the sound source data, the song attribute data and the plurality of selection values,
Sound source data,
As a song attribute record item, a song ID indicating the identification number of the song, a song feeling which is data representing a selected value for each parameter of the song, a song title indicating the title of the song, and an artist playing the song Name, song attribute list having each item of the sound source index representing the sound source data of the music,
As a score data record item, a song ID indicating the identification number of the song, a song score value indicating a value obtained by scoring the song with each keyword at present, and a preference indicating a degree of preference for the song designated by the listener as a numerical value 16. The music selection / playback method according to claim 15, wherein a score data list having each item of the last playback date and time indicating the date and time when the music was last played is created. In the song feeling,
As parameters, seasonal parameters with selected values of spring, summer, autumn and winter, day-of-week parameters with selected values of the beginning of the week, during the week, weekends and holidays, time with selected values of morning, noon, evening, night and midnight Belt parameter, speed parameter with selected values of low speed, medium speed and high speed, destination parameter with selected values of city, suburb, seaside and mountainous area, weather parameter with selected values of clear, cloudy, rainy and stormy weather, refreshing At least a mood parameter with selected values of normal, unpleasant and lonely,
21. The music selection / playback method according to claim 20, wherein in the music feeling, the music attribute value list is composed of music attribute values or special selection values indicating selection values of respective parameters. . 16. The music selection / playback method according to claim 15, wherein the music is input by one or two of an input from terrestrial digital audio broadcasting and an input from an external storage medium. The music selection / playback method according to claim 15, wherein selection of the keyword in the scoring step (b) is performed based on input data from a car navigation device, a GPS, a sensor, and a touch panel. 16. The music selection / playback method according to claim 15, wherein, in the scoring step (b), each parameter is multiplied by a predetermined weight value and totaled to obtain a score value. 16. The music selection / playback method according to claim 15, further comprising the step of adding the degree of preference of the music selected by the listener in the stage of the playback step (g) to the score value in the step (d). . A music selection / playback method for a portable audio device that plays music,
A preset parameter representing the listener status and a parameter representing the peripheral status of the listener, and a plurality of selection values associated with each of the parameters,
Create song data corresponding to each song by acquiring song attribute data including the sound source data and the name of the song selector from the data of each song entered,
In the music data, when the music attribute data of each music is searched and one of the selection values can be selected, the selection value is set as a music attribute value, and when it cannot be selected, all are selected as special selection values. A song attribute value list as song attribute values, and data for recording the last playback date of the song,
Further, the music data is sorted into a set of music selectors indicated by the music selector names included in the music attribute data among the files of the set 1 to the set N that classify the music data for each music selector,
Music playback
(A) a set selection step of selecting any one set from the set 1 to the set N by one listener;
(B) selecting one selection value from the plurality of selection values as a keyword based on data acquired from a device including the navigation device included in the portable audio device and data input by the listener; Compare and judge the keywords and the music attribute values in all the music data stored in the selected set, and score based on the match, mismatch, all, find the parameter score for each parameter, and A scoring step of calculating a total score of all the parameter scores to obtain a score value that is a parameter total score,
(C) an exclusion step of excluding from the song selection candidates those song attribute values that do not match a preset minimum matching condition keyword in each song data in the selected set;
(D) an excluding step of comparing the last reproduction date and time and the current date and time of the music included in each music data in the selected set and excluding the music data that has not passed a predetermined time from music selection candidates;
(E) a music selection step of selecting T pieces of music data having a high score value from the top;
(F) a randomizing step of arbitrarily rearranging the order of the T pieces of music data having a high score value;
(G) a reproduction step of sending music data of the music data to the audio device in the order rearranged in the randomizing step, and reproducing the music data;
(H) When the reproduction of the music is completed, it is determined whether or not the music is the T-th music. If the music is the T-th music, the process returns to the scoring step (b) and again A determination step of scoring the set and proceeding to the next step if it is not the T-th song,
(I) After the determination step (h), it is determined whether or not there is a stop request for playback. If there is no stop request, the process returns to the playback step (g) to continue playback of the next piece of music. If there is a judgment process to proceed to the next process,
(J) After the determination step (i), an end step for ending the music selection reproduction;
A music selection / playback method comprising: When determining the degree of coincidence between the keyword and the song attribute value, a factor value of 2 is set when the keyword and the song attribute value match, and a factor value of 0 is set when the keyword and the song attribute value do not match. 27. The music selection / playback method according to claim 26, wherein a factor value of 1 is set when the attribute value is "all". The parameter is a seasonal parameter with selected values of spring, summer, autumn and winter, a day of the week parameter with selected values of the beginning of the week, during the week, weekends and holidays, and selected values of morning, noon, evening, night and midnight. Time zone parameters, destination parameters with selected values of cities, suburbs, beaches and mountains, weather parameters with selected values of clear, cloudy, rainy and stormy weather, mood parameters with selected values of refreshing, normal, unpleasant and lonely 27. The music selection / playback method according to claim 26, further comprising: Next to the set selection step (a), the method includes (j) a step of acquiring a current date time, and the keyword of the season / day of week / time zone parameter is selected from the date time. The music selection / playback method according to claim 28. In creating the music data,
Obtain sound source data and song attribute data from the song,
Based on the sound source data, the song attribute data and the plurality of selection values,
Sound source data,
As a song attribute record item, a song ID indicating the identification number of the song, a song feeling which is data representing a selected value for each parameter of the song, a song title indicating the title of the song, and an artist playing the song Name, song attribute list having each item of the sound source index representing the sound source data of the music,
As a score data record item, a song ID indicating the identification number of the song, a song score value indicating a value obtained by scoring the song with each keyword at present, and a preference indicating a degree of preference for the song designated by the listener as a numerical value 27. The music selection / playback method according to claim 26, wherein a score data list having each item of the last playback date and time indicating the date and time when the music was last played is created. In the song feeling,
As parameters, seasonal parameters with selected values of spring, summer, autumn and winter, day-of-week parameters with selected values of the beginning of the week, during the week, weekends and holidays, time with selected values of morning, noon, evening, night and midnight Zone parameter, destination parameter with city, suburb, seaside and mountainous area as selected values, weather parameter with selected values as clear, cloudy, rainy and stormy weather, mood parameter with selected values as refreshing, normal, unpleasant and lonely Have at least
31. The music selection / playback method according to claim 30, wherein, in the music feeling, the music attribute value list is composed of all music attribute values or special selection values indicating selection values of respective parameters. . 27. The music selection / playback method according to claim 26, wherein the music input is one or two of an input from a terrestrial digital audio broadcast and an input from an external storage medium. 27. The music selection / playback method according to claim 26, wherein the keyword in the scoring step (b) is selected based on input data from a GPS, a sensor, and a touch panel. 27. The music selection / playback method according to claim 26, wherein, in the scoring step (b), a score value is obtained by multiplying each of the parameters by a predetermined weight value and summing them up. 27. The music selection / playback method according to claim 26, further comprising the step of adding the degree of preference of the music selected by the listener in the stage of the playback step (g) to the score value in the step (d). .

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