JP2006254187A - Acoustic field determining method and device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide au acoustic field determining method and device by which an optimal acoustic field forming conditions can be determined with a high degree of accuracy. <P>SOLUTION: The acoustic field determining method includes steps of; analyzing contents of a reproducing object to obtain an amount of characteristics of the contents, obtaining listener's setting history information and contents attribute information set in the contents, and determining the acoustic field forming conditions for reproducing the contents based on the amount of the characteristics and the setting history information or the attribute information. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

  The present invention relates to a sound field determination method and a sound field determination device, and in particular, a technique for determining sound field forming conditions for reproducing contents such as broadcast data and audio video data for transmitting sound, images, and the like based on a plurality of information. About.

  Patent Documents 1 to 8 disclose techniques for determining sound field forming conditions for reproducing content based on attribute information set for the content. As attribute information set in content, a category guided by EPG (Electric Program Guide), RDS (Radio Data System), etc., a stereo / monaural type, and the like are known. According to the technique disclosed in the above-mentioned document, for example, replay can be given to a classic broadcast, or reverberation can be removed for a news broadcast. However, the attribute information set in the content is generally one per program for each item. For example, in general, only one category of “classic” is set in the item of the category of attribute information of a classic broadcast program. However, the optimum sound field forming conditions for the content often change as the playback of the content progresses. For example, since a commentary sound is inserted in a classic broadcast program, if the sound field formation conditions for the entire program are set based on the attribute information of classic, reverberation is also added to the commentary sound, making it difficult to hear the commentary. A problem occurs.

  Patent Document 9 discloses a technique for dynamically determining a sound field forming condition based on a result of analyzing an acoustic channel. However, in the technique disclosed in Patent Document 9, there is a limit to the analysis accuracy of the acoustic channel, and the preferred sound field varies depending on the listener.

Japanese Patent Laid-Open No. 5-110528 JP-A-6-291692 JP-A-7-284187 JP 2002-9648 A JP 2002-27352 A JP 2002-33976 A JP 2002-159099 A JP 2002-314447 A JP-A-7-66740

  The present invention has been created in view of the above-described problems, and an object thereof is to provide a sound field determination method and a sound field determination apparatus that can determine an optimum sound field forming condition with high accuracy.

(1) A sound field determination method for achieving the above object includes a step of analyzing a content to be reproduced to acquire a feature amount of the content, and listener setting history information or the content set in the content And obtaining the sound field forming condition for reproducing the content based on the feature amount and the setting history information or the attribute information.
According to the present invention, since the sound field forming condition is determined based on the setting history information of the listener or the attribute information of the content in addition to the feature amount of the content, the optimum sound field forming condition can be determined with high accuracy.

(2) In the step of determining the sound field forming condition, the sound field forming condition may be determined according to a change in the feature amount during reproduction of the content.
According to the present invention, since the sound field forming condition is dynamically determined as the reproduction of the content proceeds, the optimum sound field forming condition is always determined with high accuracy.

(3) detecting the operation of the listener;
And estimating the listener based on the detected operation. In the step of acquiring the setting history information, the setting history information corresponding to the estimated listener may be acquired.
According to the present invention, the listener is estimated based on the operation of the listener, and the setting history information corresponding to the estimated listener is acquired. Therefore, the operation for the listener to recognize itself every time becomes unnecessary, and the operability is improved. improves. In addition, at the stage of detecting the listener operation, for example, the operation contents useful for listener estimation such as when the content playback is requested, which content playback is requested, and where the remote controller is operated are detected. To do. For example, if the listener can be estimated based on the time when playback is requested (for example, during the daytime on weekdays, it can be estimated that the listener watched other broadcasts during the daytime on weekdays), or depending on the content requested for playback. If the listener can be estimated (for example, if it is a baseball live broadcast, it can be estimated that the listener listened to another baseball live broadcast), or if the playback is requested (for example, if the listener is viewed in front of the sound field determination device) It can be estimated that the listener has a high viewing frequency at the place.

  (4) In the step of acquiring the feature amount, the acoustic channel of the content may be analyzed to acquire the feature amount of the acoustic channel.

(5) In the step of acquiring the feature amount, the correlation coefficient between the L channel and the R channel of the acoustic channel, the volume of sound indicated by the acoustic channel, the pitch of sound indicated by the acoustic channel, the acoustic channel Any two or more characteristic amounts of the sound temporal change characteristic indicated by may be acquired.
According to the present invention, since the sound field forming condition is determined based on two or more audio feature amounts, the sound suitable for the content can be determined with high accuracy.

  (6) In the step of acquiring the feature amount, the image channel of the content may be analyzed to acquire the feature amount of the image channel.

(7) A sound field determination method for achieving the above-described object includes a step of acquiring listener setting history information and attribute information of the content set in the content to be reproduced, and a sound for reproducing the content. Determining a field formation condition based on the setting history information and the attribute information.
According to the present invention, since the sound field forming condition is determined based on two pieces of information having different properties such as listener setting history information and content attribute information, the optimum sound field forming condition can be determined with high accuracy.

(8) The sound field determination method may further include a step of detecting an operation of the listener and a step of estimating the listener based on the detected operation. In the step of acquiring the setting history information, the setting history information corresponding to the estimated listener may be acquired.
According to the present invention, the listener is estimated based on the operation of the listener, and the setting history information corresponding to the estimated listener is acquired, so the operation for the listener to recognize itself is unnecessary, and the operability is improved. To do.

(9) In the sound field determination method for achieving the above object, the content to be reproduced is analyzed, the correlation coefficient between the L channel and the R channel of the acoustic channel of the content, and the volume of sound indicated by the acoustic channel Obtaining at least two feature amounts of the pitch of the sound indicated by the acoustic channel and the temporal change characteristic of the sound indicated by the acoustic channel, and a sound field forming condition for reproducing the content. Determining based on the quantity.
According to the present invention, since the sound field forming condition is determined based on two or more sound feature quantities having different properties, the optimum sound field forming condition can be determined with high accuracy.

(10) A sound field determination apparatus for achieving the above object includes means for analyzing the content to be reproduced to acquire the feature amount of the content, and listener setting history information or the content set in the content Means for obtaining the attribute information, and means for determining a sound field forming condition for reproducing the content based on the feature amount and the setting history information or the attribute information.
According to the present invention, since the sound field forming condition is determined based on the setting history information of the listener or the attribute information of the content in addition to the feature amount of the content, the optimum sound field forming condition can be determined with high accuracy.

(11) A sound field determination device for achieving the above object includes means for acquiring listener setting history information and attribute information of the content set in the content to be reproduced, and sound for reproducing the content. Means for determining a field formation condition based on the setting history information and the attribute information.
According to the present invention, since the sound field forming condition is determined based on two pieces of information having different properties such as listener setting history information and content attribute information, the optimum sound field forming condition can be determined with high accuracy.

(12) The sound field determination apparatus for achieving the above object analyzes the content to be played back, the correlation coefficient between the L channel and the R channel of the acoustic channel of the content, and the volume of the sound indicated by the acoustic channel , Means for obtaining at least two feature amounts of a sound pitch indicated by the acoustic channel and a time-dependent change characteristic of the sound indicated by the acoustic channel, and a sound field forming condition for reproducing the content. And a means for determining based on the quantity.
According to the present invention, since the sound field forming condition is determined based on two or more sound feature quantities having different properties, the optimum sound field forming condition can be determined with high accuracy.

  It should be noted that the order of each operation of the method described in the claims is not limited to the order of description as long as there is no technical obstruction factor, and may be executed in any order, or may be executed simultaneously. Also good. In addition, each function of the plurality of means provided in the present invention is realized by a hardware resource whose function is specified by the configuration itself, a hardware resource whose function is specified by a program, or a combination thereof. The functions of the plurality of means are not limited to those realized by hardware resources that are physically independent of each other. In addition, the present invention can be specified not only as a method and apparatus invention, but also as a program invention and a recording medium recording the program.

Hereinafter, embodiments of the present invention will be described based on examples.
FIG. 1 is a functional block diagram showing a sound field determination apparatus 1 according to an embodiment of the present invention. The sound field determination device 1 is incorporated in an AV amplifier, a DVD player, a personal computer with an AV playback function, or the like. The sound field determination device 1 determines the optimum sound field forming condition for the content of the AV data to be reproduced based on the AV data input to the AV amplifier or the like, the listener setting history, and the content attribute information. Based on this, a sound field forming condition is set in the sound field processing unit 20. The AV data can include content composed of image data of an image channel and an audio signal of an audio channel, and attached data as attribute information. The image data may be in any format such as MPEG or NTSC, and can be reproduced by the display controller 22 and the display 26 by providing a decoder corresponding to the format. The audio signal may be digital or analog, and can be reproduced by the amplifier 24 and the speakers 28, 30, 32, and 34 by providing a decoder corresponding to the format. The attached data corresponds to attribute information set in the content, and is data that makes it possible to determine a stereo / monaural type, a monolingual / bilingual type, and the like.

  The sound field determination device 1 includes an analysis unit 10, an operation unit 14, a listener estimation unit 16, a content category acquisition unit 18, and a sound field formation condition determination unit 12. The analysis unit 10 includes a CPU, RAM, ROM, disk storage device, audio processing ASIC, image processing ASIC, and the like (not shown). The listener estimation unit 16, the content category acquisition unit 18, and the sound field formation condition determination unit 12 are configured by a CPU, a RAM, a ROM, and a disk storage device that constitute the analysis unit 10.

  The operation unit 14 includes an operation panel provided in a main body of an AV amplifier, a DVD player, etc., a keyboard of a personal computer, and a remote controller. When the operation unit 14 includes a remote controller and a receiver, and the receiver has a transmission position specifying function, the listening position of the listener can be specified. Specifically, for example, by making infrared communication between the remote controller and the receiver and providing the receiver with a function for specifying the direction of the infrared light source, the listener can be viewed in the center, right side, or left side as viewed from the front of the main unit. Is output, and the center, right, or left is output as the viewing position. The operation unit 14 includes various buttons, a cross key, a jog dial, an LCD, and the like for inputting a content category, a sound field forming condition, a viewing start request, a viewing end request, a channel, a listener ID, and the like. ing.

  The content category acquisition unit 18 acquires attribute information set for the content, and outputs a content category based on the attribute information. The attribute information that can be accessed by the content category acquisition unit 18 includes a program category distributed by EPG or RDS. The attribute information may be data attached to the content data, or data stored in a server computer that publishes the attribute information set by the content data provider.

FIG. 2 is a functional block diagram showing the analysis unit 10.
The image feature analysis unit 50 calculates feature amounts such as a density histogram of each channel of RGB of an image and a correlation coefficient between frames. From the density histogram, it can be determined what color occupies a relatively large area in each frame. From the correlation coefficient between frames, it is possible to determine whether the movement of the object is large or small and the timing at which the content is switched.
The FFT unit 56 calculates the spectrum of the audio signal by fast Fourier transform.

  The band extracting unit 58 detects a change over time in the amplitude of the specific frequency component of the audio signal. The frequency for detecting changes in amplitude over time is set to a frequency specific to a specific sound source, such as speaking voice, singing voice, applause sound, golf ball cup-in sound, traditional musical instrument sound, electronic musical instrument sound, and tennis ball bouncing sound. The The sound source type can be estimated depending on whether the amplitude of the specific frequency component is stable, vibrates finely, changes gently, or peaks appear discretely.

The level detector 60 detects the loudness based on the audio signal. Specifically, for example, the effective value level of the audio signal is detected. The loudness is detected to estimate the sound source type.
The pitch detector 62 detects the pitch of the sound based on the audio signal. Specifically, for example, a frequency component having the largest amplitude is detected. The pitch of the sound is detected in order to estimate the sound source type.

  The left / right correlation detection unit 64 detects a correlation coefficient (left / right correlation coefficient) of the L channel and the R channel based on the audio signal. Specifically, for example, the adder 66 adds the L channel level and the R channel level, the subtractor 68 obtains the difference between the L channel level and the R channel level, and the adder 66 and the subtractor 68 The subtracter 72 calculates the difference between the calculated sum and difference. It can be determined that the larger the level output from the subtractor 72, the higher the correlation between the L channel and the R channel, and the lower the correlation, the lower the correlation. The recording environment can be specified by the level of the correlation between the L channel and the R channel. That is, for example, it is possible to specify how the microphone is arranged with respect to the sound source.

The audio feature analysis unit 54 analyzes the outputs of the band extraction unit 58, the level detection unit 60, the pitch detection unit 62, and the left-right correlation detection unit 64 as content feature amounts, and estimates the sound source type, recording environment, and the like.
The sound source type can be estimated as follows, for example. The voice of a person such as a speaking voice or a singing voice can be determined by the pitch of the sound and the presence or absence of a component sound (formant) that characterizes the vowel. In addition, the speaking voice tends to vibrate relatively finely in the amplitude of the frequency component corresponding to the height of the human voice. In addition, the singing voice tends to change the amplitude of the frequency component corresponding to the pitch of the human voice relatively slowly. Also, cheers tend to have relatively large amplitudes of low frequency components. The instrument sound can be determined up to the instrument type based on the pitch, the attenuation characteristic of the amplitude of a specific frequency component, the loudness, and the like. For example, percussion instruments tend to have a pitch that is distributed within a specific range, the amplitude of the corresponding frequency component is rapidly attenuated, and the volume of the sound is large. In stringed instruments, the pitch of sounds is distributed within a specific range, and the attenuation of the amplitude of a specific frequency component tends to be slow. Pianos have pitches distributed within a specific range, and the corresponding frequency components tend to rise quickly and decay somewhat slowly. Electronic musical instruments tend to have a uniform pattern in the amplitude variation waveform of the corresponding frequency component. The applause sound has a tendency that the pitch of the sound is distributed in a specific range and the amplitude of the corresponding frequency component is fine and vibrates with a narrow width. The sound of a tennis ball bouncing has a tendency that the pitch of the sound is distributed within a specific range, and a specific pattern appears at intervals of about 1 second in the amplitude change of the corresponding frequency component. When chamber music and orchestra are compared, the loudness of the orchestra tends to be distributed over a wide range.

  The recording environment is estimated by the high correlation between the L channel level and the R channel level. For example, the left-right correlation coefficient is extremely high in a news program recording environment. Also, in a music recording environment in which electronic musical instruments such as rock and pop are used, microphones are set for each sound source, and sound images corresponding to the respective microphones are distributed and localized, so the left-right correlation coefficient is extremely low. In recording environments such as orchestras, chamber music, and sports broadcasts, microphones are often set at positions distant from a plurality of distributed sound sources, so the left-right correlation coefficient tends to be slightly lower.

The estimation unit 52 estimates the content category based on the output and attribute data of the image feature analysis unit 50 and the audio feature analysis unit 54. The estimation unit 52 estimates the content category with reference to the content estimation database 11.
FIG. 3 is a table showing an example of the initial state of the content estimation database 11. The correspondence between the image feature, the attached information and the sound feature and the estimated category shown in FIG. 3 is merely an example. For example, the frequency of black is high in the image, the change of the image with time is small, and the audio signal is in a stereo format. If traditional musical instrument sounds are distributed over a very wide level, it can be estimated that many orchestras wearing black tuxedos are sitting and playing various instruments. Can be registered. Also, for example, if there is little change over time in the image, the audio signal is in a bilingual audio multiplex format, there are many spoken voices, and the left-right correlation is extremely high, it can be estimated that the announcer is sitting and reading the explanation. Therefore, “commentary” can be registered as an estimated category.

  The analysis unit 10 learns the characteristics of the category based on the listener setting history. Specifically, when the listener uses the operation unit 14 to explicitly set a specific content category for a specific broadcast program, the image feature analysis unit 50 displays image features, attached information, and sound features specific to the set program. And the audio feature analysis unit 54 detect, and the analysis unit 10 associates the detected image feature, attached information and sound feature with the set content category and registers them in the content estimation database 11 as shown in FIG. To do. For example, it is assumed that an image feature of “many skin color” and a sound feature of “mixed beat, speech, and cheer” are detected for a broadcast program in which the listener sets “sumo” as the content category. In this case, the estimation unit 52 associates the estimated category of “sumo” with the image feature of “many skin color” and the sound feature of “mixed beat, speech, and cheer” in the content estimation database 11. .

  The listener estimation unit 16 includes a listener estimation database 17 in which a listener operation history accepted by the operation unit 14 is registered. The listener estimation database 17 stores, as setting history information, a record in which the user's viewing start request, viewing end request, channel selection request, and listener ID received by the operation unit 14 are associated with the viewing position output by the operation unit 14. . FIG. 5 is a diagram illustrating an example of the listener estimation database 17. The viewing day of the week and the viewing time zone are registered by the listener estimating unit 16 acquiring date / time information from the real-time clock when the operation unit 14 receives a user's viewing start request and viewing end request.

  The listener estimation unit 16 estimates the listener currently viewing based on the registered contents of the listener estimation database 17 and outputs a listener ID corresponding to the estimated listener. FIG. 6 is a diagram illustrating an example of a correspondence relationship between the operation contents of the listener and the listener ID output from the listener estimation unit 16. When the operation unit 14 newly accepts a user's viewing start request, channel selection request, etc., the listener estimation unit 16 indicates that the requested channel was viewed on the day and time of the day when the viewing start request was accepted. If the history has been registered in the listener estimation database 17 a predetermined number of times (for example, once) or more within a predetermined period, a new viewing start request is received from a listener who has viewed the channel in the past day and time. The listener ID corresponding to the estimated listener is output. For example, in the case where the setting history information shown in FIG. 5 is registered in the listener estimation database 17, if a request to start viewing 3 channels is received at 12:15 from Monday to Friday, the listener estimation unit 16 “100” is output as the ID. The listener estimation unit 16 can output the listener ID if the listener ID is explicitly input by the listener for the estimated listener, and may automatically assign the listener ID to the estimated listener if the listener ID is not input. . For example, since the listener ID is not explicitly input for the viewing history of the three channels from 12:15 to 12:30 from Monday to Friday, the listener estimation unit 16 performs the operation from 12:15 to 12:30 from Monday to Friday. Listener ID “100” is assigned and output for viewing of three channels. Also, since the listener ID is not explicitly input for the viewing history of 1 channel from 21:00 to 22:00 on Wednesday, the listener estimation unit 16 outputs the listener ID “101” for viewing of 1 channel on Wednesday.

  When a plurality of listener viewing requests are registered for the same channel in the same time zone, the listener estimation unit 16 estimates the listener based on the viewing position. For example, when a viewing request is received for three channels at a viewing position of “right” from 21:00 to 22:00 on Sunday, the listener estimation unit 16 listens to the listener ID “of the listener who has made the same viewing request in the past from the viewing position of“ right ”. 003 "is output. When the same viewing request is received from the “center” viewing position, the listener estimation unit 16 outputs the listener ID “001”. This estimation is based on the assumption that the viewing position is determined by the listener. In addition, as setting history information used for listener estimation, for example, other information such as a content category and a sound field forming condition may be used.

  The sound field formation condition determination unit 12 (see FIG. 1) includes a determination database 13, a content category output from the operation unit 14 or the content category acquisition unit 18, an estimated category output from the analysis unit 10, and a determination database. 13 is set in the sound field processing unit 20. The sound field formation condition determination unit 12 sets the sound field formation condition when a viewing start request is received and every certain time during the subsequent viewing. As a result, even when the content changes during the program (for example, when it changes from classical music to commentary), the optimum sound field formation conditions are set for the content even if a channel change request is accepted during viewing. Will be.

  In the initial state determination database 13, for example, as shown in FIG. 7, a listener ID, a category, and a sound field forming condition are registered in association with each other. The sound field forming conditions may include reverberation setting and sound image localization setting, gain setting for each band, volume setting, and the like. In the initial state determination database, generally optimum sound field forming conditions are registered for each content category, and there is no sound field forming condition unique to the listener ID. The determination database 13 stores a category correspondence table in which content categories and estimated categories are registered in association with each other as shown in FIG. In the category correspondence table, when a content category is output for each program from the operation unit 14 and the content category acquisition unit 18, any category may be included in the program corresponding to the output content category. A record indicating that is registered. For example, a sports program generally includes commentary scenes in addition to scenes of competition content such as golf, baseball, and tennis. Even when the content category “sports” is acquired from the EPG or the operation unit 14, it is desirable to set an optimum sound field forming condition for listening to “explanation” during the explanation. On the other hand, if the sound field forming condition is set based only on the content analysis result while ignoring the content category that can be acquired from the EPG or the operation unit 14, an inappropriate sound field forming condition is set depending on the content analysis accuracy. There is also a fear. Therefore, the sound field forming conditions that are dynamically set can be optimized by narrowing down the content estimation range based on the content category that can be acquired from the EPG or the operation unit 14 and estimating the content within the narrowed range.

  The sound field formation condition determination unit 12 learns the optimum sound field formation condition based on the listener setting history. That is, the sound field formation condition determination unit 12 updates the determination database 13 based on the listener setting history. For example, if the reverberation setting is explicitly set to “room” for the content category with the listener ID “001” being “commentary”, the sound field forming condition determination unit 12 will display the content category “commentary” as shown in FIG. ”Is changed to“ other than 001 ”, and a record including the content category“ commentary ”, the listener ID“ 001 ”, and the reverberation setting“ room ”is newly registered in the determination database 13. . For example, when a listener with a listener ID “100” frequently inputs a viewing request from the “right” viewing position for the content category “drama”, the listener ID “all” associated with the content category “drama” is set to “ The record is changed to “other than 100”, and a record including the content category “drama”, the listener ID “100”, and the sound image localization setting “right” is newly registered in the determination database 13. Even if the sound field localization setting is not explicitly set, a content category field is provided in the listener estimation database 17 to estimate the content category output by the analysis unit 10 and the content category acquisition unit 18. By registering in the database 17, the optimum sound image localization setting condition can be specified from the listener ID, viewing position, and content category.

  As described above, the sound field formation condition determination unit 12 comprehensively determines the sound field formation condition based on two or more pieces of information among the feature amount of the content, the setting contents of the listener, and the attached information of the content. It is possible to set an optimum sound field forming condition with high accuracy.

  The sound field processing unit 20 processes the audio signal based on the sound field forming conditions set by the sound field forming condition determining unit 12 or the operation unit 14, and outputs an audio signal that forms a specific sound field. Specifically, the sound field processing unit 20 forms reverberation by adding signals subjected to delays having different delay times, adds a high frequency component to enhance vocal sound, and performs L channel and R channel. A process for localizing the sound image to a specific position by individually setting a delay is performed. The sound field processing unit 20 may perform these sound field forming processes by digital signal processing or analog signal processing. The sound field processing unit 20 finally performs DA conversion and outputs an analog audio signal.

  The audio signal output from the sound field processing unit 20 is amplified by the amplifier 24 and output to the speakers 28, 30, 32 and 34. The number of speakers that emit sound based on the audio signal may be one, two, or three or more.

  According to the embodiment of the present invention described above, the sound field forming condition is set using the attached information such as the estimated category output from the analysis unit 10, the content category acquired from the EPG, and the listener setting history. It is possible to set an optimum sound field forming condition with high accuracy. Further, the analysis unit 10 analyzes the image data and the audio signal to estimate the category, and further, for the audio signal, comprehensively determines the sound volume, left-right correlation, sound pitch, and sound aging characteristics. Since the analysis is performed, the content category can be estimated with high accuracy. In addition, since the listener estimation unit 16 detects a specific viewing pattern from the viewing history and assigns a listener ID to each viewing pattern, the sound field formation condition determination unit 12 does not input the listener ID for each listener. It is possible to set the optimum sound field forming conditions.

The functional block diagram which concerns on one Example of this invention. The functional block diagram which concerns on one Example of this invention. The figure which shows the database which concerns on one Example of this invention. The figure which shows the database which concerns on one Example of this invention. The figure which shows the database which concerns on one Example of this invention. The table | surface for demonstrating the listener estimation method which concerns on one Example of this invention. The figure which shows the database which concerns on one Example of this invention. The figure which shows the database which concerns on one Example of this invention. The figure which shows the database which concerns on one Example of this invention.

Explanation of symbols

1: sound field determination device, 10: analysis unit, 11: content estimation database, 12: sound field formation condition determination unit, 13: determination database, 14: operation unit, 16: listener estimation unit, 17: listener estimation Database, 18: content category acquisition unit, 20: sound field processing unit,

Claims (12)

Analyzing the content to be played back to obtain a feature amount of the content;
Obtaining listener setting history information or attribute information of the content set in the content;
Determining a sound field forming condition for reproducing the content based on the feature amount and the setting history information or the attribute information;
The sound field determination method characterized by including.   The sound field determination method according to claim 1, wherein in the step of determining the sound field formation condition, the sound field formation condition is determined according to a change in the feature amount during reproduction of the content. Detecting the operation of the listener;
Estimating the listener based on the detected operation, and
The sound field determination method according to claim 1, wherein in the step of acquiring the setting history information, the setting history information corresponding to the estimated listener is acquired.   The sound field determination method according to claim 1, wherein in the step of acquiring the feature amount, the acoustic channel of the content is analyzed to acquire the feature amount of the acoustic channel.   In the step of acquiring the feature amount, the correlation coefficient between the L channel and the R channel of the acoustic channel, the volume of the sound indicated by the acoustic channel, the pitch of the sound indicated by the acoustic channel, and the sound indicated by the acoustic channel 5. The sound field determination method according to claim 4, wherein two or more feature amounts of the time-dependent change characteristics of the sound field are acquired.   The sound field determination method according to claim 1, wherein in the step of acquiring the feature amount, the feature amount of the image channel is acquired by analyzing an image channel of the content. Obtaining listener setting history information and attribute information of the content set in the content to be played;
Determining a sound field forming condition for reproducing the content based on the setting history information and the attribute information;
The sound field determination method characterized by including. Detecting the operation of the listener;
Estimating the listener based on the detected operation, and
The sound field determination method according to claim 7, wherein in the step of acquiring the setting history information, the setting history information corresponding to the estimated listener is acquired. Analyzing the content to be played back, the correlation coefficient between the L channel and the R channel of the audio channel of the content, the volume of the sound indicated by the audio channel, the pitch of the sound indicated by the audio channel, and the audio channel Obtaining any two or more features of the time-dependent characteristics of the sound;
Determining a sound field forming condition for reproducing the content based on the feature amount;
The sound field determination method characterized by including. Means for analyzing the content to be played back and obtaining the feature amount of the content;
Means for acquiring listener setting history information or attribute information of the content set in the content;
Means for determining a sound field forming condition for reproducing the content based on the feature amount and the setting history information or the attribute information;
A sound field determination apparatus comprising: Means for acquiring listener setting history information and attribute information of the content set in the content to be played;
Means for determining a sound field forming condition for reproducing the content based on the setting history information and the attribute information;
A sound field determination apparatus comprising: Analyzing the content to be played back, the correlation coefficient between the L channel and the R channel of the audio channel of the content, the volume of the sound indicated by the audio channel, the pitch of the sound indicated by the audio channel, and the audio channel Means for acquiring any two or more feature quantities of the time-dependent characteristic of sound;
Means for determining a sound field forming condition for reproducing the content based on the feature amount;
A sound field determination apparatus comprising:

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