JP6424907B2 - Program for realizing performance information search method, performance information search method and performance information search apparatus - Google Patents

Description

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

  When a user searches for a specific song, there is a technique of selecting a song matching the user's performance or singing from the database by performing or singing.

  As a device to which such a technology is applied, a music database storing music data for a large number of music, and music information such as a score, lyrics, and a chord name displayed as assistance for music performance corresponding to each music are displayed The song information database for storing the song information display data to be prepared is prepared, and when the user starts to play the song with an instrument or a song, the content of the performance is inputted as MIDI data, and the string pattern of MIDI data is The music data having a matching tone 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 coincident with the recognized music is detected. The music is specified by searching from the music database, and the corresponding music information display data (score, lyrics, code 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).

  Aside from the conventional music information display apparatus, a plurality of sets of performance data are stored based on a search query pattern (typically, a rhythm pattern) input by the 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 tone generation pattern (for example, rhythm pattern or melody pattern) matching the query pattern from the 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 tone generation pattern, ghost notes (for example, extremely small velocity data) are difficult to determine as rhythm input. It is stated that manual or automatic exclusion is included).

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

JP 2007-86571 A JP 2012-234167 A Japanese Patent Application Publication No. 2003-263159

  By the way, the performance data to be searched for may contain sounds such as decoration sounds and ghost notes that are not consciously perceived in the auditory sense as sound effects, but in the case of performance or singing at the time of searching, those sound effects Is often ignored. As a result, a difference occurs between the user's performance or singing and the performance data actually registered in the database or the like, performance data to be searched may not be searched, and the search accuracy may be lowered. .

  In the above-mentioned conventional search device, the ghost accuracy is manually or automatically excluded to create performance data (rhythm pattern data) to increase the search accuracy, but the manual exclusion operation is time-consuming. In the automatic exclusion process, the exclusion process can not be appropriately performed particularly for mega voice performance data.

  The present invention has been made focusing on this point, and a performance information search that can automatically and appropriately exclude sounds unnecessary for the search for any type of performance data. An object of the present invention is to provide a program for realizing the method, the performance information search method, and the performance information search device.

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 search method, wherein the performance information search method comprises a plurality of performances including tone color information and velocity information. From the acquisition step of acquiring performance information consisting of data, the detection step of detecting timbre information from the performance information acquired by the acquisition step, and storage means for storing a plurality of filtering conditions corresponding to the timbre information, the detection step By applying a filtering condition selected by the selecting step to the acquired performance information by selecting the filtering condition corresponding to the timbre information detected by the method, the filtering condition is excluded by the filtering condition from the performance information Performance information excluding the specified performance data And a generation step of generating data for retrieval, each of the plurality of the filtering condition, a plurality of velocity information, delimit even more detailed tone multiple velocity interval corresponding to each said velocity interval are those which are determined for each in velocity interval each said filtering condition is defined, excluded or non-exempt of performance data corresponding to each velocity information is instructed, characterized in Rukoto.

Program according to claim 2, in claim 1 Symbol placement program, the performance information retrieval method further performance information obtained by the obtaining step, a performance data retrieval newly generated by said generating step A reproduction step for comparing and reproducing the data with the above data, and a display step for comparing and displaying on the display means the performance information acquired in the acquisition step and the performance information search data newly generated in the generation step. It is characterized by having.

In order to achieve the above object, the performance information searching method and the performance information searching apparatus according to the third and fourth aspects can be realized by the same technical idea as the first aspect.

According to the invention as set forth in claim 1, 3 or 4 , timbre information is detected from the acquired performance information, and storage means corresponding to the timbre information is stored in correspondence with the detected timbre information. Filtering conditions are selected, and by applying the filtering conditions to the acquired performance information, performance data whose exclusion is instructed by the filtering conditions is excluded from the performance information, and data for performance information retrieval is Since it is generated, if performance data having sounds unnecessary for the search is created in advance as the filtering condition in performance data to which tone color information associated with the filtering condition is assigned, the condition is It becomes possible to automatically and appropriately exclude sounds unnecessary for the search for the performance data.

According to the invention described in claim 1, 3 or 4, in velocity interval each said filtering condition is defined, are excluded or non-exempt instruction of performance data corresponding to each velocity information Runode, especially Megaboisu Unnecessary sounds for search can be automatically and appropriately excluded from the assigned performance data.

According to the second aspect of the invention, since the acquired performance information and the newly generated performance information search data can be compared, reproduced or compared and displayed, the user can sense both old and new performance information. Above or visually, it can be easily compared and confirmed.

It is a block diagram showing a schematic structure of a performance information retrieval device concerning a 1 embodiment of the present invention. It is a figure which shows some performance data ((a)) to which the mega voice of a certain guitar timbre was allocated, and its example of a display ((b)). It is a figure which shows performance data ((a)) after applying a filtering condition with respect to a part of performance data of Fig.2 (a), and its example of a display ((b)). It is a figure which shows a part ((a)) of the performance data to which a certain drum timbre was allocated, and its example of a display ((b)). It is a figure which shows the example of a display of 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 condition selected according to the mega voice of a guitar timbre, or drum timbre being assigned. It is a flowchart which shows the procedure of the performance information analysis process which the performance information retrieval apparatus of FIG. 1, especially CPU performs.

  Hereinafter, embodiments of the present invention will be described in detail based on the drawings.

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

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

  The components 1 to 8 are mutually connected 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 a drive device thereof. The storage medium may be removable from the drive device, or the storage device 5 itself may be removable from the performance information search device 100. Alternatively, neither the storage medium nor the storage device 5 may be removable.

  As the communication I / F 7, for example, a dedicated music wired I / F for exclusively transmitting and receiving music signals such as MIDI signals, a general-purpose short distance wired I / F such as USB (Universal Serial Bus) or IEEE 1394, Ethernet (registered trademark) And a general-purpose short range wireless I / F such as a wireless LAN (local area network) or Bluetooth (registered trademark). In the present embodiment, the USB is used as the communication I / F 7, but instead, another type of I / F may be adopted, or another type of I / F may be added to this. You may

  Although the performance information search apparatus 100 is built on a general-purpose PC to which an external device is connected as described above, it may be built on a general-purpose PC to which no external device is connected, or a general-purpose It may be built on a dedicated device, not on a PC.

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

  Performance information (hereinafter referred to as "target performance information") to be subjected to control processing (analysis processing) adopts the SMF (standard MIDI file) format as its format for convenience of explanation in the present embodiment, and the format thereof Assume that the type is format 1, that is, one having a plurality of tracks. Therefore, the target performance information is formed of one header chunk and track chunks for the number of tracks set in the header chunk. The header chunk stores basic information of the file (target performance information file), and information to be described (data length, format type, number of tracks, time unit, etc.) is determined in the SMF. Track chunks store performance data of each track (a row consisting of a plurality of sets of delta time and an event), but in the present embodiment, only track chunks of track 0 have performance data. It is assumed that bibliographic information (music name, time signature, creation date, bibliographic information of each track, etc.) of the performance information is stored without storing. Since each track chunk (except track 0) is configured to be able to assign a different tone color to each track, the bibliographic information of each track includes the tone information assigned to the track. Then, among the plurality of tones assigned to the plurality of track chunks of the target performance information, it is assumed that all of the normal tone, the drum tone and the special tone (mega voice) described above in the [Background Art] field are included. .

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

  Further, in the present embodiment, as described above, the target performance information includes information (header information, bibliographic information, etc.) other than performance data, but these information are separated from the target performance information. It may be managed.

  FIG. 2 is a view showing a part ((a)) of performance data to which a mega voice of a certain guitar tone is assigned and a display example ((b)) thereof. In the figure (a), the columns "L1", "L2" and "L3" indicate "measure", "beat" and "clock" respectively, the column "CH" indicates "channel" and the column " “Type” indicates “type of data”, and “Note” indicates that it is “note data”. Further, a column "Value 1" indicates a note name [note number], a column "Value 2" indicates a length of sound generation, and a column "Value 3" indicates a velocity. In the performance data to which this kind of mega voice is assigned, the velocity included in each note event is different from the velocity in the 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 showing an example of a part of filtering conditions selected in response to the mega voice of this type being assigned. In the same figure (a), in the velocity range of 1 to 20, 21 to 40, 41 to 60, 61 to 75 and 76 to 87, "Open Soft", "Open Medium", "Open Hard", "Dead" respectively. It is described as "Mute", which indicates how to play on a guitar. That is, a timbre (resonance method dependent timbre) depending on the rendition style is assigned to each of these ranges, and controlled so that the volume of the performance data of the rendition style dependent timbre can be taken from the minimum value to the maximum value for each range. Ru.

  As described above, when the conventional search device automatically performs exclusion processing on performance data whose velocity does not represent the volume of the note event as it is, the conventional search device described in the [Background Art] field as described above. In addition, since the performance data to which the “Open Soft” rendition style is assigned is excluded because only the performance data to which the “Open Soft” rendition style is assigned is excluded, the performance data to which the rendition style is otherwise assigned is small. Not excluded.

  Therefore, in the present invention, filtering conditions for instructing performance data to be removed with the tone color are prepared in advance in association with the tone color, and if performance data to which the exclusion process is applied is determined among the target performance information. By selecting the filtering condition corresponding to the timbre assigned to the performance data and applying the filtering condition to the performance data, the performance data to be excluded is determined, and the determined performance data is excluded from the performance data I am trying to do it.

  Since the mega voice whose tone name is "Vintage Pick Gtr" is assigned to the performance data in FIG. 2 (a), the filtering condition corresponding to this tone name (this condition relates to velocity A filtering condition (consisting of both the condition at the top of FIG. 6A and the filtering condition relating to the note number) is selected, and this filtering condition is applied to the performance data. In the filtering condition relating to velocity in FIG. 6A, each velocity is associated with either “0” or “1”, but “0” indicates “excluded” and “1” indicates “not excluded” "Extraction" is indicated. As a result, the performance data belonging to the velocity ranges 0 to 9 and 61 to 85 are excluded. On the other hand, since the filtering condition relating to the note number adopts “Exclude note number“ 88 ”or more” in this embodiment, the note among the performance data not excluded by the filtering condition relating to velocity is thereby selected. Those with the number “88” (corresponding to the pitch of the key “E5” on the display keyboard in FIG. 2B) are excluded.

  When the filtering condition relating to velocity 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 the filtering condition relating to the note number is applied to the performance data after the exclusion, the performance data having the note numbers “104” to “106”, that is, “G # 6”, “A6” and “A # 6”. The performance data of “” (indicated by “●” in the figure) is excluded. FIG. 3 shows the performance data ((a)) and the display example ((b)) after the exclusion.

  FIG. 4 is a view showing performance data ((a)) to which a certain drum tone is assigned and a display example ((b)) thereof. 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 having different pitches with each drum sound. Therefore, each note number is associated with sounds of different types of drums (percussion instruments) and rendition style.

  With regard to performance data assigned a drum tone, there are cases where it is desirable to separate the performance data into a plurality of categories (for example, parts such as “cymbal”, “snare” and “bass drum”). The filtering condition different from the filtering condition is used to meet this requirement.

  Since the drum timbre whose timbre name is "Hip Hop Kit" is assigned to the performance data of FIG. 4 (a), the filtering condition corresponding to this timbre name, that is, FIG. The second-stage filtering condition of b) is selected, and this filtering condition is applied to the performance data. In the filtering condition of FIG. 6B, any of “0” to “3” is associated with each note number of 30 to 92, but “0” indicates “exclude” and “1” indicates “exclude”. “Extract as a bass drum system” is shown, “2” indicates “extract as a snare system”, and “3” indicates “extract as a cymbal system”. As a result, exclusion of performance data and separation into each category are performed at once. For example, in the case of the “cymbal-based” timbre, “bass drum system”, “snare system” and “cymbal system” are respectively associated with a crash cymbal, ride cymbal and high hat closed Etc., because there are multiple cymbal timbres, and each cymbal timbre is assigned to a different pitch. On the other hand, filtering conditions are set so that, for example, pitches to which a “mute system” cymbal tone is assigned are not extracted even if they are cymbal tones.

  When the second-stage filtering condition of FIG. 6 (b) is applied to the performance data of FIG. 4 (a), the performance data of note number “59”, ie, the performance data of “B2” is “bus” Performance data with note numbers “57” and “85”, that is, performance data with “A2” and “C # 5” are separated into “snare” and note numbers “90”. The performance data, that is, the performance data of "F # 5" is separated into "cymbals". FIG. 5 shows a display example of the performance data after the exclusion and separation.

  As described above, in the present embodiment, sounds unnecessary for the search can be automatically and appropriately excluded from any type of performance data. Furthermore, in addition to exclusion, the separation of performance data into multiple categories can also be performed.

  Next, this control process will be described in detail.

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

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

  When the performance information analysis process is activated, the CPU 2 acquires the specified 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, the acquisition source of the target performance information may be variously considered, such as a server on the Internet when the storage device 5 or the external device or the communication I / F 7 is connected to the Internet, from any of them It may be acquired.

  Next, the CPU 2 initializes (set to "1") a pointer N (hereinafter, this content is referred to as "N track") provided on the RAM 4 to designate a track number of the target performance information (step S2). ).

  Next, the CPU 2 acquires bibliographic information of N tracks (at this moment, track 1) (step S3). In the target performance information, since bibliographic information of each track is described in the track chunk of track 0 as described above, the CPU 2 acquires bibliographic information of track 1 among the bibliographic information of each track.

  Then, the CPU 2 extracts timbre information allocated to the track 1 from the acquired bibliographic information of the track 1 (step S4), and acquires a filtering condition corresponding to (corresponding to) the extracted timbre information (step S5) . The timbre information is "bank select MSB", "bank select LSB" and "program change" in the present embodiment as described above. Therefore, "bank select MSB assigned to 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, for example, in the storage device 5. Then, when one timbre is specified, it is managed by, for example, table data so that the filtering conditions to be acquired can be known. Therefore, when the timbre is specified, the CPU 2 can obtain the target filtering condition by searching table data. Note that the timbre and the filtering condition do not always have to be associated with 1: 1. However, if one timbre is determined, it is sufficient that one filtering condition to be selected is determined. That is, common filtering conditions may be selected for different timbres. Also, the storage location of the filtering condition may be outside the performance information search device 100, but may be outside, as long as the filtering condition can be acquired according to the tone color 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 (a part of) performance data to be deleted exists (step S6). As a result of the determination, if there is performance data to be deleted, the CPU 2 deletes the data from the performance data of the track 1 (step S7). If there is no performance data to be deleted, the CPU 2 skips step S7. Then, the process proceeds to step S8.

  The processes of steps S6 and S7 are roughly described, and the CPU 2 strictly processes as follows. That is, the CPU 2 checks all the note events included in the performance data of the track 1 one by one with the filtering condition to determine whether the note event is to be deleted. Then, the CPU 2 determines the deletion (exclusion) or non-deletion (non-exclusion) of the note event based on the determination result for each note event, and deletes the one determined to be eliminated.

  For example, the performance data of FIG. 2 (a) is set as the performance data of track 1, and the filtering conditions for the velocity at the top of FIG. 6 (a) and the filtering conditions for the note number (“note number If "" is more than "88" is selected, the CPU 2 first selects the first note event of the performance data of track 1, that is, the note number is "52" and the velocity is "25". Compare events with filtering conditions. Since the velocity "25" is associated with "1" in the filtering condition relating to the note number, it is determined as non-deletion, that is, extraction. Furthermore, since the note number "52" is smaller than "88", it is determined that the filtering condition for the note number is not 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. Since “0” is associated with the velocity “1” in the filtering condition relating to the note number, it is determined to be deleted. As a result, the fourth note event is deleted from the performance data of track 1. At the next fifth note event, the CPU 2 checks the event having the note number “106” and the velocity “86” against the filtering condition. Since “1” is associated with the velocity “86” in the filtering condition relating to the note number, it is determined to be non-deletion. However, since the note number "106" is "88" or more, it is determined that the filtering condition relating to the note number is deletion. 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. As a result, the performance data of track 1 excludes performance data that the user intends to exclude. The (part of) performance data of the track 1 after this filtering is the performance data of FIG. 3 (a).

  The above-mentioned exclusion process for performance data of track 1 and the corresponding exclusion process in the outline of the control process are slightly different in their processing contents (however, the result after the exclusion process does not change between the two). In other words, in the outline of the control process, filtering data on velocity is first applied to the performance data of track 1 to remove part of the performance data, and then filtering on the note numbers is performed on the remaining performance data. Conditions are applied to exclude some performance data. On the other hand, in the exclusion process described above, both the filtering condition related to velocity and the filtering condition related to note number are applied for each note event of the performance data of track 1 to determine deletion / non-deletion, and it is determined to be deleted. It is because we are trying to delete things. Of course, any of them may be adopted, and the difference between the two descriptions is merely for convenience of the description.

  Returning to FIG. 7, in step S8, the CPU 2 saves the performance data of the track 1 after filtering as performance data (data for performance information search) of the new track 1.

  Next, the CPU 2 determines whether the track 1 is the last track (step S9). As described above, track 1 is not the last track because the target performance information is composed of performance data of a plurality of tracks. Therefore, after incrementing the value of the pointer N by "1" (step S10), the CPU 2 returns the process to the step S3.

  The processing in steps S3 to S5 will not be described because the processing contents hardly change even if the track changes from "0" to "1".

  For example, when the performance data of FIG. 4 (a) is set as the performance data of track 2 and the filtering condition of the second stage of FIG. 6 (b) is selected as the filtering condition, the CPU 2 first The first note event of the performance data of, that is, the event with the note number "59" is compared with the filtering condition. Since the note number “59” is associated with “1” in the filtering condition, it is determined as “separation and extraction as a bass drum system”. 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 checks the event with the note number “90” against the filtering condition. Since “3” is associated with the note number “90” in the filtering condition, it is determined as “separated and extracted as cymbal system”. As a result, the second note event is separated and extracted as a cymbal system.

  When the process proceeds to the fifth note event, the CPU 2 collates the event with the note number “57” with the filtering condition. Since note number "57" is associated with "2" in the filtering condition, it is determined as "separating and extracting 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 of FIG. 4A, although there is no note event to be deleted and separation and extraction is only performed, “0” is associated with the note number of the note event of the determination target while the filtering condition is If so, the note event is deleted as well as the performance data of track 1.

  As such, 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. The (parts of) performance data of the track 2 after the separation and extraction is shown in FIGS. 5 (a) to 5 (c).

  Returning to FIG. 7, in step S8, the CPU 2 stores the performance data of the track 2 after separation and extraction as performance data (data for performance information search) of the new track 2. The performance data after separation and extraction may be stored as independent tracks.

  Next, the CPU 2 determines whether track 2 is the last track (step S9), and if it is the last track, this performance information analysis processing is ended, while if it is not the last track, it is until the last track The processing in steps S3 to S9 is repeated while incrementing the value of the pointer N by "1" (step S10).

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

  In the performance information search apparatus 100, when the user designates from the operation input unit 1 the performance information to be reproduced (the performance data of any one of the tracks may be the same. The same applies hereinafter). , Start reproduction of the performance information. Since the performance information is of the SMF type as described above in the present embodiment, 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 out the event being performed and performing the process according to the content of the event. In the performance information search 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. It can be targeted for reproduction. In this way, by alternately reproducing both performance information, it is possible to compare and compare both performance information.

  Further, in the performance information search device 100, when the user designates performance information to be displayed from the operation input unit 1 and instructs the display thereof, the CPU 2 displays the performance information on the display 6. Also in this display, target performance information and performance information including the new performance data can be displayed. Thus, by alternately displaying both performance information, it is possible to compare both performance information. FIGS. 2 (b), 3 (b), 4 (b) and 5 show examples of display of performance information. In addition, although the display mode employ | adopted the aspect of the piano roll in this Embodiment, it is needless to say that it is not restricted to this.

  As described above, as a result of comparing and comparing the new and old 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, only the target format information in the SMF format is limited as target performance information. That is, although the type may be any, for example, style (automatic accompaniment) data, song data, arpeggio etc. can be mentioned. Further, the target performance information is not limited to the MIDI format, and may include audio data or may be configured only by audio data.

  In the present embodiment, the detection of the tone color information uses the method of extracting the thing (typically, the tone color number) described in the “bibliographic information of each track” stored in the track chunk of track 0. The method is not limited to this, and in particular (in the case of audio data), a method of performing frequency analysis or the like on an acoustic signal may be employed.

  Further, in the present embodiment, as the filtering condition, the ones with low velocity or the ones that are difficult to hear (note number is “88” or more) are deleted, but the present invention is not limited to this. There may be conditions to delete the If this condition is applied, it is useful, for example, to create performance guide data for practicing even detailed expressions, and to delete prominent sounds and listen to only unnoticeable sounds.

  Furthermore, in the present embodiment, the deletion / separation / extraction process is performed on the performance data to which the drum tone is assigned, but the present invention is not limited to this. You may As a result, when a plurality of people divide the musical range and play one song, it is possible to easily create performance data for each player.

  As the filtering conditions, parameters other than those described above, such as note length, tone generation / silence timing, pitch change rate (pitch bend) may be used. Furthermore, prior to filtering, other processing may be combined with filtering processing, such as quantizing the target performance information in advance.

  In addition, the storage medium which recorded the program code of the software which implement | achieves the function of embodiment mentioned above is supplied to a system or an apparatus, The computer (or CPU or MPU) of the system or an apparatus stored in the storage medium It goes without saying that the object of the present invention is also achieved by reading and executing a code.

  In this case, the program code itself read out from the storage medium implements the novel functions 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. Also, the program code may be supplied from a server computer via a communication network.

  Further, by executing the program code read out by the computer, not only the functions of the above-described embodiment are realized, but also the actual processing of the OS or the like running on the computer based on the instructions of the program code. It goes without saying that the present invention also includes cases where part or all of the above are performed and the functions of the above-described embodiment are realized by the processing.

  Furthermore, after the program code read from the storage medium is written to a memory provided to 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 case where 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 embodiment 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 (4)

A program for causing a computer to execute a performance information search method,
The performance information search method is
An acquisition step of acquiring performance information including timbre information and a plurality of performance data including 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 storage means storing a plurality of filtering conditions corresponding to the timbre information;
By applying the filtering condition selected in the selection step to the acquired performance information, performance data whose exclusion is instructed by the filtering condition is excluded from the performance information, and data for performance information search is generated. Step of generating
Each of the plurality of the filtering condition, a plurality of velocity information, delimit a plurality of velocity intervals corresponding to the respective even more detailed tone, which are determined for each the velocity interval,
In velocity interval each said filtering condition is defined, the program characterized by Rukoto exclusion or non-exempt of performance data corresponding to each velocity information is instructed. The performance information search method further includes
A reproduction step of comparing and reproducing the performance information acquired in the acquisition step and the performance information search data newly generated in the generation step;
And is performance information acquired by the acquisition step, new claim 1 Symbol mounting and having a display step of comparing displayed on the display means and the data of the generated performance data for retrieval by said generating step Programs. An acquisition step of acquiring performance information including timbre information and a plurality of performance data including 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 storage means storing a plurality of filtering conditions corresponding to the timbre information;
By applying the filtering condition selected in the selection step to the acquired performance information, performance data whose exclusion is instructed by the filtering condition is excluded from the performance information, and data for performance information search is generated. Step of generating
Each of the plurality of the filtering condition, a plurality of velocity information, delimit a plurality of velocity intervals corresponding to the respective even more detailed tone, which are determined for each the velocity interval,
In the velocity section in which each of the filtering conditions is defined, exclusion or non-exclusion of performance data corresponding to each piece of velocity information is instructed ,
A performance information search method, wherein a control unit of a performance information search apparatus executes the acquisition step, the detection step, the selection step, and the generation step. Acquisition means for acquiring performance information including timbre information and a plurality of performance data including velocity information;
Detection means for detecting timbre information from the performance information acquired by the acquisition means;
Storage means for storing a plurality of filtering conditions corresponding to tone color information;
Selection means for selecting a filtering condition corresponding to the tone color information detected by the detection means from the storage means;
By applying the filtering condition selected by the selection means to the acquired performance information, performance data whose exclusion is instructed by the filtering condition is excluded from the performance information, and data for performance information search is generated. Means for generating
Each of the plurality of the filtering condition, a plurality of velocity information, delimit a plurality of velocity intervals corresponding to the respective even more detailed tone, which are determined for each the velocity interval,
A performance information search apparatus , wherein exclusion or non-exclusion of performance data corresponding to each piece of velocity information is instructed in a velocity section in which each of the filtering conditions is defined .

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