JP2015007735A - Program for actualizing musical performance information analyzing method, the musical performance information analyzing method, and musical performance information analyzing device - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a program for actualizing a musical performance information analyzing method that can automatically and properly exclude a sound unneeded for retrieval from any kind of musical performance data, the musical performance information analyzing method, and a musical performance information analyzing device.SOLUTION: Filtering conditions ((a), (b)) for indicating musical performance data to be removed with respect to timbre are prepared corresponding to the timbre, a filtering condition corresponding to timbre allocated to musical performance data of object musical performance information is selected once the musical performance data is determined, and musical performance data to be excluded is determined by applying the filtering condition to the musical performance data, so that the determined musical performance data is excluded from the musical performance data.

Description

  The present invention relates to a program for realizing a performance information analysis method for automatically excluding sounds unnecessary for search from performance data included in performance information, the performance information analysis method, and a performance information analysis apparatus.

  When a user searches for a specific piece of music, there is a technique for selecting a piece of music that matches the user's performance or singing from a database by performing or singing.

  As a device to which such technology is applied, a music database storing music data for a large number of music, and music information such as sheet music, lyrics, code names, etc. displayed as an auxiliary to music performance are displayed corresponding to each music. And a song information database storing song information display data to be played, and when a user starts playing a song with a musical instrument or singing, the performance content is input as MIDI data, and the MIDI data sound string pattern is recorded. The music data having the matching sound string pattern is extracted to recognize the music that the user has started playing, and the tempo, transposition amount, progress position, etc. of the MIDI data are detected, and the music that matches the recognized music is detected. The music is identified by searching the music database, and the corresponding music information display data (score, lyrics, chord name, etc.) is selected from the music information database. To, songs information display device to display in accordance with the performance of the user (for example, see Patent Document 1).

  Apart from this conventional music information display device, a plurality of sets of performance data are stored based on a query pattern (typically a rhythm pattern) for search input by a user using a keyboard or an input pad. There is also a search device that searches performance data (for example, automatic accompaniment data) having a musical tone generation pattern (for example, rhythm pattern or melody pattern) that matches the query pattern from a storage device (for example, see Patent Document 2). ). In paragraphs [0024] and [0025] of Patent Document 2, when creating rhythm pattern data, which is an example of a musical tone generation pattern, a ghost note (for example, extremely small velocity data is difficult to determine as rhythm input). Etc.) are excluded manually or automatically.

  The performance data to be searched (music data in the conventional music information display device) is generally composed of a plurality of tracks, and various instrument sounds are generally assigned to each track. In addition to normal tones (tones including pitch, such as piano and guitar) and drum sounds (not including pitch, multiple percussion instrument sounds are assigned to different note numbers in one tone) There is also a special tone color (a plurality of performance sounds for one musical instrument assigned to different velocities, so-called Mega Voice (registered trademark)) (see, for example, Patent Document 3). In the mega voice, a plurality of performance style dependent timbres of one musical instrument timbre are respectively assigned to a plurality of velocity ranges.

JP 2007-86571 A JP 2012-234167 A JP 2003-263159 A

  By the way, the performance data to be searched may contain sound effects such as decorative sounds and ghost notes that are not very conscious about the sense of hearing. Is often ignored. As a result, there is a difference between the user's performance or singing and the performance data actually registered in the database or the like, and the performance data to be searched is not searched, and the search accuracy may be lowered. .

  In the above conventional search device, ghost notes are excluded manually or automatically and performance data (rhythm pattern data) is created to improve search accuracy. However, manual exclusion work takes time and effort. In the automatic exclusion process, an appropriate exclusion process cannot be performed particularly for performance data of mega voices.

  The present invention has been made paying attention to this point, and performance information analysis that can automatically and appropriately exclude unnecessary sounds for searching for any type of performance data. It is an object of the present invention to provide a program for realizing the method, the performance information analysis method and the performance information analysis apparatus.

  In order to achieve the above object, a program according to claim 1 is a program for causing a computer to execute a performance information analysis method, wherein the performance information analysis method includes timbre information, pitch information, and velocity information. An acquisition step of acquiring performance information comprising a plurality of performance data, a detection step of detecting timbre information from the performance information acquired by the acquisition step, and a storage means for storing a plurality of filtering conditions corresponding to the timbre information Selecting a filtering condition corresponding to the timbre information detected by the detecting step; and applying the filtering condition selected by the selecting step to the acquired performance information, thereby filtering the filtering information from the performance information. Exclude performance data for which exclusion is instructed by conditions And characterized by having a generation step of generating a new performance information.

  The program according to claim 2 is characterized in that, in the program according to claim 1, the filtering condition instructs exclusion of performance data whose velocity information belongs to a predetermined velocity section.

  The program according to claim 3 is characterized in that, in the program according to claim 1, the filtering condition instructs exclusion of performance data whose pitch information is a predetermined value.

  The program according to claim 4 is the program according to any one of claims 1 to 3, wherein the performance information analysis method further includes the performance information acquired by the acquisition step and the performance newly generated by the generation step. A reproduction step for comparing and reproducing information; and a display step for comparing and displaying on the display means performance information acquired by the acquisition step and performance information newly generated by the generation step. To do.

  In order to achieve the above object, the performance information analyzing method and the performance information analyzing device described in claims 5 and 6 can be realized by the same technical idea as in claim 1.

  According to the invention described in claim 1, 5 or 6, the timbre information is detected from the acquired performance information, and the storage means for storing a plurality of filtering conditions corresponding to the timbre information corresponds to the detected timbre information. By selecting the filtering condition to be applied and applying the filtering condition to the acquired performance information, the performance data instructed to be excluded by the filtering condition is excluded from the performance information, and new performance information is generated. Therefore, if a condition for deleting performance data having a sound unnecessary for search is created in advance in the performance data to which the timbre information associated with the filtering condition is assigned as the filtering condition, the performance data It is possible to automatically and appropriately exclude unnecessary sounds for search.

  According to the second aspect of the present invention, the filtering condition indicates exclusion of performance data whose velocity information belongs to a predetermined velocity section, so that it is not necessary for searching performance data to which a mega voice is assigned. Noise can be automatically and appropriately excluded.

  According to the third aspect of the present invention, since the filtering condition instructs exclusion of performance data whose pitch information is a predetermined value, it is not particularly necessary for searching performance data to which a drum tone is assigned. Noise can be automatically and appropriately excluded.

  According to the fourth aspect of the present invention, since the acquired performance information and the newly generated performance information can be comparatively reproduced or displayed in comparison, the user can view both old and new performance information in terms of audibility or visual. Can be easily compared and confirmed.

It is a block diagram which shows schematic structure of the performance information analyzer which concerns on one embodiment of this invention. It is a figure which shows a part ((a)) of the performance data to which the mega voice of a certain guitar tone color was allocated, and the example of a display ((b)). It is a figure which shows the performance data ((a)) after applying filtering conditions with respect to a part of performance data of Fig.2 (a), and the example of a display ((b)). It is a figure which shows a part ((a)) of the performance data to which a certain drum tone color was allocated, and the example of a display ((b)). It is a figure which shows the example of a display of the performance data after applying filtering conditions with respect to a part of performance data of Fig.4 (a). It is a figure which shows an example of a part of filtering conditions selected according to the mega voice of a guitar tone, or the drum tone being assigned. It is a flowchart which shows the procedure of the performance information analysis process which the performance information analysis apparatus of FIG. 1, especially CPU performs.

  Hereinafter, embodiments of the present invention will be described in detail with reference to the drawings.

  FIG. 1 is a block diagram showing a schematic configuration of a performance information analyzing apparatus 100 according to an embodiment of the present invention.

  As shown in the figure, the performance information analyzing apparatus 100 includes an operation input unit 1 including a character input keyboard and a pointing device (for example, a mouse), a CPU 2 for controlling the entire apparatus, and a basic control program executed by the CPU 2. ROM 3 for storing (BIOS: Basic Input Output System) and various table data, RAM 4 for temporarily storing performance information, various input information, calculation results, etc. acquired from the outside, various application programs and OS (Operating) System), a storage device 5 for storing various performance information, various data, and the like, a display 6 for displaying various information, for example, an LCD (Liquid Crystal Display), and an external device (not shown) are connected to the external device. A communication interface (I / F) 7 for transmitting and receiving data, and the acquired performance information And a sound source / effect circuit 8 for converting event data obtained by reproducing any performance information stored in the storage device 5 into a musical sound signal and for applying various effects to the musical sound signal; The sound signal from the sound source / effect circuit 8 is converted into sound, and is constituted by a sound system 9 such as a DAC (Digital-to-Analog Converter), an amplifier, and a speaker.

  The above components 1 to 8 are connected to each other via a bus 10, and a sound system 9 is connected to the sound source / effect circuit 8.

  The storage device 5 is, for example, a storage medium such as a flexible disk (FD), a hard disk (HD), a CD-ROM, a DVD (Digital Versatile Disc), a magneto-optical disk (MO), and a semiconductor memory, and its driving device. The storage medium may be detachable from the drive device, or the storage device 5 itself may be detachable from the performance information analysis device 100. Alternatively, neither the storage medium nor the storage device 5 may be detachable.

  As the communication I / F 7, for example, a music dedicated wired I / F that exclusively transmits / receives music signals such as MIDI signals, general-purpose short-distance wired I / Fs such as USB (Universal Serial Bus) and IEEE 1394, and Ethernet (registered trademark) General-purpose network I / F such as wireless LAN (local area network) and Bluetooth (registered trademark) can be used. In this embodiment, the USB is adopted as the communication I / F 7. However, instead of this, other types of I / F may be adopted, and other types of I / F may be added thereto. It may be.

  The performance information analyzing apparatus 100 is constructed on a general-purpose PC connected to an external device as described above, but may be constructed on a general-purpose PC not connected to an external device, or a general-purpose PC. You may construct | assemble on a dedicated apparatus instead of on PC.

  The control process executed by the performance information analyzing apparatus 100 configured as described above will be described first with reference to FIGS. 2 to 6 and then in detail with reference to FIG.

  In the present embodiment, the performance information (hereinafter referred to as “target performance information”) to be subjected to control processing (analysis processing) adopts an SMF (standard MIDI file) format as a format for convenience of explanation. The format is assumed to be format 1, that is, one having a plurality of tracks. Therefore, the target performance information is formed by one header chunk and track chunks corresponding to the number of tracks set in the header chunk. The header chunk stores basic information of the file (target performance information file). In the SMF, information to be described (data length, format type, number of tracks, time unit, etc.) is determined. The track chunk stores performance data of each track (a sequence consisting of a plurality of sets each including a delta time and an event), but in this embodiment, only the track chunk of track 0 has performance data. The bibliographic information (music title, time signature, creation date and time, bibliographic information of each track, etc.) of the performance information is stored without being stored. Since each track chunk (excluding track 0) can be assigned a different tone color for each track, the bibliographic information of each track includes the tone color information assigned to the track. In addition, it is assumed that the plurality of timbres assigned to the plurality of track chunks of the target performance information include any of the normal timbre, drum timbre, and special timbre (megavoice) described in the [Background Technology] field. .

  The timbre information is information for specifying a timbre. In SMF, the timbre is specified by transmitting the bank select MSB, bank select LSB, and program change messages to the electronic musical instrument (sound source device), so the timbre information is necessary to generate the messages. Parameter value. However, these parameter values are also referred to as “bank select MSB”, “bank select LSB”, and “program change” for the sake of simplicity. Note that the method of specifying the timbre is not limited to this, and a method of specifying the timbre by the model name and timbre number of the electronic musical instrument (sound source device) may be adopted.

  In the present embodiment, as described above, the target performance information includes information (such as header information and bibliographic information) other than the performance data, but these pieces of information are separated from the target performance information. You may make it manage.

  FIG. 2 is a diagram showing a part ((a)) of performance data to which a mega voice of a certain guitar tone is assigned and a display example ((b)). In FIG. 9A, columns “L1”, “L2”, and “L3” indicate “bar”, “beat”, and “clock”, respectively, and column “CH” indicates “channel”. “Type” indicates “data type”, and “Note” indicates “note data”. Further, a column “Value1” indicates a note name [note number], a column “Value2” indicates a pronunciation length, and a column “Value3” indicates a velocity. In performance data to which this type of mega voice is assigned, the velocity included in each note event is different from the velocity in performance data to which a normal tone is assigned, and does not simply indicate the volume of the note event.

  FIG. 6A is a diagram illustrating an example of a part of the filtering condition selected in response to the assignment of this type of mega voice. In FIG. 9A, the velocities in the range of 1 to 20, 21 to 40, 41 to 60, 61 to 75, and 76 to 87 are respectively “Open Soft”, “Open Medium”, “Open Hard”, and “Dead”. "And" Mute ", which indicates how to play the guitar. That is, each of these ranges is assigned a timbre depending on the performance style (performance style timbre), and for each range, the performance data of the performance style-dependent timbre can be controlled from the minimum value to the maximum value. The

  As described above in the “Background Art” column, when the performance data whose velocity does not directly represent the volume of the note event is automatically excluded by the conventional search device, the conventional search device is described above. The performance data to which the “Open Soft” performance method is assigned is excluded, and the performance data to which other performance methods are assigned is the one with the low velocity. Not excluded.

  Therefore, in the present invention, a filtering condition for instructing performance data to be removed with the timbre is prepared in advance in association with the timbre, and the performance data to which the exclusion process is applied is determined from the target performance information. The filtering condition corresponding to the tone assigned to the performance data is selected, the performance data to be excluded is determined by applying the filtering condition to the performance data, and the determined performance data is excluded from the performance data. Like to do.

  Since the performance data in FIG. 2A is assigned with a mega voice whose tone name is “Vintage Pick Gtr”, a filtering condition corresponding to this tone name (this condition is related to velocity). A filtering condition (consisting of both the filtering condition relating to the note number) and the filtering condition regarding the note number is selected, and this filtering condition is applied to the performance data. In the filtering condition related to velocity in FIG. 6A, either “0” or “1” is associated with each velocity, but “0” indicates “exclusion” and “1” indicates “non-exclusion”. ", That is," extract ". As a result, performance data belonging to ranges of velocity 0 to 9 and 61 to 85 are excluded. On the other hand, the filtering condition related to the note number employs “excluded when the note number is“ 88 ”or higher” in this embodiment. Numbers greater than or equal to “88” (corresponding to the pitch of the key “E5” on the display keyboard in FIG. 2B) are excluded.

  When the velocity-related filtering condition is first applied to the performance data of FIG. 2A, the velocities are “1”, “61”, “71”, “76”, and “85” (“★” in the figure). Performance data) is excluded. When filtering conditions relating to the note number are applied to the performance data after the exclusion, the performance data with the note numbers “104” to “106”, that is, “G # 6”, “A6” and “A # 6”. Performance data of “” (indicated by “●” in the figure) is excluded. FIG. 3 shows the performance data after the exclusion ((a)) and a display example ((b)).

  FIG. 4 is a diagram showing performance data ((a)) to which a certain drum tone is assigned and a display example ((b)). In this type of timbre, the note number corresponding to each note event does not simply indicate the pitch (pitch) unlike the note number in the normal timbre. That is, since the pitch of each drum sound is substantially constant, it is not necessary to associate many sounds with different pitches with each drum sound. Therefore, each note number is associated with a sound having a different drum type or percussion method.

  For performance data to which drum sounds are assigned, it may be desired to separate the performance data into a plurality of categories (for example, parts such as “cymbal system”, “snare system” and “bass drum system”). The filtering condition is different from the filtering condition to meet this requirement.

  Since the drum tone whose tone name is “Hip Hop Kit” is assigned to the performance data of FIG. 4A, the filtering condition corresponding to this tone name, that is, FIG. The second filtering condition of b) is selected, and this filtering condition is applied to the performance data. In the filtering condition of FIG. 6B, each of the note numbers 30 to 92 is associated with any of “0” to “3”, but “0” indicates “exclusion” and “1” indicates “Extract as a bass drum system” indicates “2” indicates “Extract as a snare system”, and “3” indicates “Extract as a cymbal system”. Thereby, the performance data is excluded and separated into each category at a time. Note that “bass drum system”, “snare system”, and “cymbal system” are associated with multiple pitches, for example, in the case of a “cymbal system” tone, a crash cymbal, ride cymbal, hi-hat close This is because there are a plurality of cymbal tones, and each cymbal tone is assigned to a different pitch. On the other hand, for example, a filtering condition is set so that a pitch to which a “mute-type” cymbal tone is assigned is not extracted even if it is a cymbal tone.

  When the second filtering condition of FIG. 6B is applied to the performance data of FIG. 4A, the performance data with a note number of “59”, that is, the performance data of “B2” is “bus”. The performance data of “57” and “85”, that is, the performance data of “A2” and “C # 5” is separated into the “snare system”, and the note number is “90”. Performance data, that is, performance data of “F # 5” is separated into “cymbals”. FIG. 5 shows a display example of performance data after this exclusion and separation.

  As described above, according to the present embodiment, sounds unnecessary for search can be automatically and appropriately excluded for any type of performance data. Further, in addition to exclusion, performance data can be separated into a plurality of categories.

  Next, this control process will be described in detail.

  FIG. 7 is a flowchart showing a procedure of performance information analysis processing executed by the performance information analysis apparatus 100 of the present embodiment, particularly the CPU 2.

  The performance information analysis process is activated in response to the user specifying the target performance information from the operation input unit 1 and then instructing activation of the performance information analysis process.

  When the performance information analysis process is activated, the CPU 2 acquires the designated target performance information and reads it into a target performance information storage area (not shown) secured at a predetermined position on the RAM 4 (step S1). ). Here, there are various possible sources of the target performance information, such as the storage device 5 or the external device, or a server on the Internet when the communication I / F 7 is connected to the Internet. You may make it acquire.

  Next, the CPU 2 initializes (sets to “1”) a pointer N (hereinafter referred to as “N track”) provided on the RAM 4 to indicate the track number of the target performance information (step S2). ).

  Next, the CPU 2 acquires bibliographic information of N tracks (track 1 at present) (step S3). As described above, since the target performance information describes the bibliographic information of each track in the track chunk of track 0, the CPU 2 acquires the bibliographic information of track 1 among the bibliographic information of each track.

  Then, the CPU 2 extracts timbre information assigned to the track 1 from the obtained bibliographic information of the track 1 (step S4), and obtains a filtering condition corresponding to (corresponding to) the extracted timbre information (step S5). . As described above, since the timbre information is “bank select MSB”, “bank select LSB”, and “program change” in the present embodiment, the “bank select MSB” assigned to the track 1 in step S4. ”,“ Bank Select LSB ”, and“ Program Change ”are extracted. The CPU 2 specifies the timbre assigned to the track 1 from the extracted “bank select MSB”, “bank select LSB”, and “program change”. The filtering conditions are prepared in advance for the number of timbres that can be specified, and are stored in the storage device 5, for example. Then, when one timbre is specified, for example, it is managed by table data so that the filtering condition to be acquired can be understood. Therefore, when the timbre is specified, the CPU 2 can acquire the target filtering condition by searching the table data. Note that the timbre and the filtering condition do not always need to be associated with 1: 1, but it is only necessary that one filtering condition to be selected is determined if one timbre is determined. That is, common filtering conditions may be selected for different timbres. Further, the filtering condition storage location may be not the inside of the performance information analyzing apparatus 100 but the outside, as long as the filtering condition can be acquired according to the timbre information.

  Next, the CPU 2 applies the acquired filtering condition to the performance data of the track 1 of the target performance information and determines whether there is (partial) performance data to be deleted (step S6). If there is performance data to be deleted as a result of this determination, the CPU 2 deletes the data from the performance data of the track 1 (step S7). On the other hand, if there is no performance data to be deleted, the CPU 2 skips step S7. Then, the process proceeds to step S8.

  The processing of steps S6 and S7 is roughly described, and strictly speaking, the CPU 2 performs the following processing. That is, the CPU 2 compares all the note events included in the performance data of the track 1 with the filtering condition one by one, and determines whether the note event should be deleted. Then, the CPU 2 determines deletion (exclusion) or non-deletion (non-exclusion) of the note event based on the determination result for each note event, and deletes the determined deletion.

  For example, the performance data of FIG. 2A is set as the performance data of track 1, and the filtering condition relating to the velocity in the uppermost stage in FIG. 6A and the filtering condition relating to the note number (“note number”) are set as filtering conditions. Is selected, the first note event of the performance data of track 1, that is, the note number is “52” and the velocity is “25”. Check the event against the filtering condition. Since “1” is associated with the velocity “25” in the filtering condition related to the note number, it is determined as non-deletion, that is, extraction. Furthermore, since the note number “52” is smaller than “88”, the filtering condition relating to the note number is also determined not to be deleted. As a result, the first note event is not deleted and is not deleted.

  When the process proceeds to the fourth note event, the CPU 2 compares the event having the note number “43” and the velocity “1” with the filtering condition. The velocity “1” is determined to be deleted because “0” is associated with the filtering condition regarding the note number. As a result, the fourth note event is deleted from the performance data of track 1. In the next fifth note event, the CPU 2 compares the event having the note number “106” and the velocity “86” with the filtering condition. Since “1” is associated with the velocity “86” in the filtering condition related to the note number, it is determined not to be deleted. However, since the note number “106” is “88” or more, it is determined to be deleted in the filtering condition regarding the note number. As a result, the fifth note event is deleted from the performance data of track 1.

  The CPU 2 performs such determination and deletion / non-deletion processing according to the determination result up to the note event at the end of the performance data of the track 1. Thereby, the performance data of the track 1 excludes the performance data that the user intends to exclude. The performance data (part) of the track 1 after the filtering is the performance data shown in FIG.

  The processing contents of the above-described exclusion process for the performance data of track 1 and the corresponding exclusion process in the outline of the control process are slightly different (however, the result after the exclusion process does not change between the two). In other words, in the outline of the control processing, the performance-related data for track 1 is first applied with a filtering condition related to velocity to exclude some performance data, and then the remaining performance data is filtered next for note number. A part of performance data is excluded by applying a condition. On the other hand, in the above exclusion process, deletion / non-deletion is determined by applying both the filtering condition related to velocity and the filtering condition related to note number for each note event of the performance data of track 1, and the deletion is determined. This is because things are deleted. Of course, either may be adopted, and the difference between the two descriptions is merely for convenience of description.

  Returning to FIG. 7, in step S <b> 8, the CPU 2 stores the filtered performance data of the track 1 as performance data of the new track 1.

  Next, the CPU 2 determines whether or not the track 1 is the last track (step S9). As described above, since the target performance information is composed of performance data of a plurality of tracks, track 1 is not the last track. Therefore, the CPU 2 increments the value of the pointer N by “1” (step S10), and then returns the process to step S3.

  Since the processing contents of steps S3 to S5 hardly change even when the track is changed from “0” to “1”, the description thereof is omitted.

  For example, when the performance data of FIG. 4A is set as the performance data of the track 2 and the second filtering condition of FIG. 6B is selected as the filtering condition, the CPU 2 first selects the track 2 The first note event of the performance data, that is, the event having the note number “59” is compared with the filtering condition. Since the note number “59” is associated with “1” in the filtering condition, “separated and extracted as a bass drum system” is determined. As a result, the first note event is separated and extracted as a bass drum system.

  In the next second note event, the CPU 2 compares the event whose note number is “90” with the filtering condition. Since the note number “90” is associated with “3” in the filtering condition, “separate extraction as a cymbal system” is determined. As a result, the second note event is separated and extracted as a cymbal system.

  When the processing proceeds to the fifth note event, the CPU 2 compares the event having the note number “57” with the filtering condition. Since note number “57” is associated with “2” in the filtering condition, it is determined as “separation extraction as snare system”. As a result, the second note event is separated and extracted as a snare system.

  The CPU 2 performs such determination and deletion / separation extraction processing according to the determination result up to the note event at the end of the performance data of the track 2. In the example of the performance data in FIG. 4A, there are no note events to be deleted and only separation and extraction are performed, but “0” is associated with the note number of the determination target note event in the filtering condition. If so, the note event is deleted in the same manner as the performance data of track 1.

  As described above, the performance data of the track 2 is separated and extracted into a plurality of categories after the performance data that the user intends to exclude is excluded. FIGS. 5A to 5C show the performance data (part of) of the track 2 after the separation and extraction.

  Returning to FIG. 7, in step S <b> 8, the CPU 2 stores the performance data of the track 2 after the separation and extraction as performance data of the new track 2. The performance data after separation and extraction may be stored as independent tracks.

  Next, the CPU 2 determines whether or not the track 2 is the last track (step S9). If it is the last track, the performance information analysis process is terminated. The process of steps S3 to S9 is repeated while incrementing the value of the pointer N by “1” (step S10).

  Next, performance information reproduction processing and display processing will be briefly described.

  In the performance information analyzing apparatus 100, when the user designates performance information to be reproduced (may be performance data of any one of the tracks, the same applies hereinafter) from the operation input unit 1, the CPU 2 instructs the reproduction start. Then, the reproduction of the performance information is started. Since the performance information is in the SMF format in this embodiment as described above, the CPU 2 decrements the delta time at a predetermined time interval, and when it becomes “0”, it is arranged immediately after the delta time. The reproduction process is performed by reading the event being performed and performing the process according to the content of the event. In the performance information analyzing apparatus 100, both target performance information and performance information including new performance data (see FIGS. 3A and 5) generated by performing the performance information analysis process on the target performance information. Can be a playback target. Thereby, both performance information can be heard and compared by reproducing both performance information alternately.

  In the performance information analyzing apparatus 100, when the user designates display of performance information to be displayed from the operation input unit 1, the CPU 2 displays the performance information on the display 6. Even in this display, target performance information and performance information including the new performance data can be displayed. Thereby, both performance information can be compared by displaying both performance information alternately. 2 (b), 3 (b), 4 (b) and 5 show display examples of performance information. In this embodiment, the display mode is a piano roll mode. However, it is needless to say that the display mode is not limited to this.

  Thus, as a result of comparing and comparing old and new performance information, it may be desired to further exclude some performance data of the new performance information. In order to cope with this, an editing function may be provided.

  In the present embodiment, the target performance information is limited only to the SMF format of format 1. In other words, any type can be used, and examples include style (automatic accompaniment) data, song data, and arpeggio. Further, the target performance information is not limited to the MIDI format, but may include audio data or may be composed of only audio data.

  In the present embodiment, the timbre information is detected by using a method of extracting one (typically, timbre number) described in “bibliographic information of each track” stored in the track chunk of track 0. However, the present invention is not limited to this, and in particular (in the case of audio data), a method of extracting the sound signal by performing frequency analysis or the like may be employed.

  In this embodiment, the filtering conditions are those with low velocity and those that are difficult to hear (note number is “88” or more), but this is not restrictive. There may be a condition for deleting. Applying this condition is useful, for example, when creating performance guide data for practicing even fine expressions and deleting only the inconspicuous sounds by deleting the conspicuous sounds.

  Further, in the present embodiment, the deletion / separation extraction process is performed on performance data to which a drum tone is assigned. However, the present invention is not limited to this, and performance data to which a normal tone is assigned can also be performed. It may be. As a result, when a single piece of music is played by dividing the musical range by a plurality of people, performance data for each player can be easily created.

  In addition, as filtering conditions, parameters other than those described above, such as note length, sounding / mute timing, pitch change rate (pitch bend), and the like may be used. Furthermore, filtering processing may be combined with other processing, such as quantizing the target performance information in advance before filtering.

  A program in which a storage medium storing software program codes for realizing the functions of the above-described embodiments is supplied to a system or apparatus, and a computer (or CPU or MPU) of the system or apparatus is stored in the storage medium. It goes without saying that the object of the present invention can also be achieved by reading and executing the code.

  In this case, the program code itself read from the storage medium realizes the novel function of the present invention, and the program code and the storage medium storing the program code constitute the present invention.

  As a storage medium for supplying the program code, for example, a flexible disk, hard disk, magneto-optical disk, CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD + RW, magnetic A tape, a non-volatile memory card, a ROM, or the like can be used. Further, the program code may be supplied from a server computer via a communication network.

  Further, by executing the program code read by the computer, not only the functions of the above-described embodiments are realized, but also the OS running on the computer based on the instruction of the program code performs the actual processing. It goes without saying that a case where the functions of the above-described embodiment are realized by performing part or all of the above and the processing thereof is included.

  Further, after the program code read from the storage medium is written into a memory provided in a function expansion board inserted into the computer or a function expansion unit connected to the computer, the function expansion is performed based on the instruction of the program code. It goes without saying that the CPU or the like provided in the board or the function expansion unit performs part or all of the actual processing and the functions of the above-described embodiments are realized by the processing.

2 ... CPU (acquisition means, detection means, selection means, generation means), 5 ... storage device (storage means), 7 ... communication I / F (acquisition means)

Claims (6)

A program for causing a computer to execute a performance information analysis method,
The performance information analysis method includes:
An acquisition step of acquiring performance information comprising timbre information and a plurality of performance data including pitch information and velocity information;
A detection step of detecting timbre information from the performance information acquired by the acquisition step;
A selection step of selecting a filtering condition corresponding to the timbre information detected by the detection step from a storage means for storing a plurality of filtering conditions corresponding to the timbre information;
Generation of generating new performance information by applying the filtering condition selected in the selection step to the acquired performance information to exclude performance data instructed to be excluded by the filtering condition from the performance information And a program.   2. The program according to claim 1, wherein the filtering condition is for instructing to exclude performance data whose velocity information belongs to a predetermined velocity section.   The program according to claim 1, wherein the filtering condition instructs exclusion of performance data whose pitch information is a predetermined value. The performance information analysis method further includes:
A reproduction step for comparing and reproducing the performance information acquired by the acquisition step and the performance information newly generated by the generation step;
The display step of comparing and displaying the performance information acquired in the acquisition step and the performance information newly generated in the generation step on a display means. The program described in the section. An acquisition step of acquiring performance information comprising timbre information and a plurality of performance data including pitch information and velocity information;
A detection step of detecting timbre information from the performance information acquired by the acquisition step;
A selection step of selecting a filtering condition corresponding to the timbre information detected by the detection step from a storage means for storing a plurality of filtering conditions corresponding to the timbre information;
Generation of generating new performance information by applying the filtering condition selected in the selection step to the acquired performance information to exclude performance data instructed to be excluded by the filtering condition from the performance information A performance information analysis method comprising: steps. Obtaining means for obtaining performance information composed of timbre information and a plurality of performance data including pitch information and velocity information;
Detecting means for detecting timbre information from the performance information acquired by the acquiring means;
Storage means for storing a plurality of filtering conditions corresponding to timbre information;
Selecting means for selecting a filtering condition corresponding to the timbre information detected by the detecting means from the storage means;
Generation of generating new performance information by applying the filtering condition selected by the selection means to the acquired performance information to exclude performance data instructed to be excluded by the filtering condition from the performance information And a performance information analyzing apparatus.

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