CN110770817A - System and method for reproducing orchestra sounds - Google Patents
System and method for reproducing orchestra sounds Download PDFInfo
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- CN110770817A CN110770817A CN201780081620.4A CN201780081620A CN110770817A CN 110770817 A CN110770817 A CN 110770817A CN 201780081620 A CN201780081620 A CN 201780081620A CN 110770817 A CN110770817 A CN 110770817A
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- ZYXYTGQFPZEUFX-UHFFFAOYSA-N benzpyrimoxan Chemical compound O1C(OCCC1)C=1C(=NC=NC=1)OCC1=CC=C(C=C1)C(F)(F)F ZYXYTGQFPZEUFX-UHFFFAOYSA-N 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title description 16
- 230000005236 sound signal Effects 0.000 claims abstract description 16
- 238000013528 artificial neural network Methods 0.000 claims abstract description 15
- 230000033764 rhythmic process Effects 0.000 claims abstract description 4
- 230000004913 activation Effects 0.000 claims abstract description 3
- 230000005540 biological transmission Effects 0.000 claims description 3
- 230000006399 behavior Effects 0.000 description 3
- 230000008901 benefit Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 3
- 230000006870 function Effects 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000001228 spectrum Methods 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 1
- 238000001914 filtration Methods 0.000 description 1
- 230000000977 initiatory effect Effects 0.000 description 1
- 238000003780 insertion Methods 0.000 description 1
- 230000037431 insertion Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
- 230000003252 repetitive effect Effects 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000001755 vocal effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
- G10H1/00—Details of electrophonic musical instruments
- G10H1/0033—Recording/reproducing or transmission of music for electrophonic musical instruments
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R1/00—Details of transducers, loudspeakers or microphones
- H04R1/20—Arrangements for obtaining desired frequency or directional characteristics
- H04R1/22—Arrangements for obtaining desired frequency or directional characteristics for obtaining desired frequency characteristic only
- H04R1/26—Spatial arrangements of separate transducers responsive to two or more frequency ranges
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04R—LOUDSPEAKERS, MICROPHONES, GRAMOPHONE PICK-UPS OR LIKE ACOUSTIC ELECTROMECHANICAL TRANSDUCERS; DEAF-AID SETS; PUBLIC ADDRESS SYSTEMS
- H04R3/00—Circuits for transducers, loudspeakers or microphones
- H04R3/12—Circuits for transducers, loudspeakers or microphones for distributing signals to two or more loudspeakers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04S—STEREOPHONIC SYSTEMS
- H04S7/00—Indicating arrangements; Control arrangements, e.g. balance control
- H04S7/30—Control circuits for electronic adaptation of the sound field
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
- G10H2210/00—Aspects or methods of musical processing having intrinsic musical character, i.e. involving musical theory or musical parameters or relying on musical knowledge, as applied in electrophonic musical tools or instruments
- G10H2210/155—Musical effects
- G10H2210/265—Acoustic effect simulation, i.e. volume, spatial, resonance or reverberation effects added to a musical sound, usually by appropriate filtering or delays
- G10H2210/295—Spatial effects, musical uses of multiple audio channels, e.g. stereo
- G10H2210/305—Source positioning in a soundscape, e.g. instrument positioning on a virtual soundstage, stereo panning or related delay or reverberation changes; Changing the stereo width of a musical source
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10H—ELECTROPHONIC MUSICAL INSTRUMENTS; INSTRUMENTS IN WHICH THE TONES ARE GENERATED BY ELECTROMECHANICAL MEANS OR ELECTRONIC GENERATORS, OR IN WHICH THE TONES ARE SYNTHESISED FROM A DATA STORE
- G10H2250/00—Aspects of algorithms or signal processing methods without intrinsic musical character, yet specifically adapted for or used in electrophonic musical processing
- G10H2250/311—Neural networks for electrophonic musical instruments or musical processing, e.g. for musical recognition or control, automatic composition or improvisation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04S—STEREOPHONIC SYSTEMS
- H04S2400/00—Details of stereophonic systems covered by H04S but not provided for in its groups
- H04S2400/15—Aspects of sound capture and related signal processing for recording or reproduction
Landscapes
- Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Acoustics & Sound (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Otolaryngology (AREA)
- Multimedia (AREA)
- General Health & Medical Sciences (AREA)
- Stereophonic System (AREA)
Abstract
System (100) for reproducing the sound of an orchestra composed of sound emitting instruments, comprising: at least one sound source (102) receiving an activation signal from the coordination module (101) to transmit a sound signal; a plurality of sets of transmitters (104a1, 104a2 … … 104 am; 104b1, 104b2 … … 104 bn; 104n1, 104n2 … … 104nm), each set being respectively associated with said musical instruments (103a, 103b … … 103n) and receiving sound signals processed by the musical instruments (103a, 103b … … 103 n); a plurality of musical instruments (103a, 103b … … 103n) that are based on a neural network and receive sound signals from a sound source (102); and at least one coordination module (101) based on a neural network trained with instrument rhythms, tones and beam shapes in a real orchestra and configured to manage sound distribution and introduce creative changes to the instruments (103a, 103b … … 103 n).
Description
Technical Field
The present invention relates to a system for reproducing orchestra sounds.
Background
In particular, the present invention relates to a system and method for reproducing orchestra sounds for simulating an orchestra that includes several different types of instruments.
As is known, stringed wind instruments are characterized by a complex mechanical structure that allows the sound produced to have unique characteristics produced by the instrument itself. The elements that determine the final sound are determined by the following physical phenomena: the air generates vibrations that propagate in the surrounding environment and reach the listener. In particular, each individual instrument is characterized by the spectrum of sound it is capable of producing, the ability to produce more tones at different frequencies simultaneously, and the spatial distribution of the emissions produced. Thus, a single instrument is already a very complex element, and it is difficult to simulate the reproduction of its sound. Therefore, it is difficult to reproduce the composition of several musical instruments in an organic whole (i.e., in an orchestra) due to the spatial arrangement of the composition of several musical instruments in an organic whole (i.e., in an orchestra) and the characters represented by musicians playing the musical instruments in a real orchestra.
In particular, the digital techniques recently applied to sound reproduction systems have had several advantages: extremely high reproducibility, an increase in the sound quality in the reproducible spectrum, and a significant reduction in the level of unwanted noise outside the reproduced signal. Digital technology has improved significantly in terms of the different aspects of recording, reproducing, distributing, diffusing to the music signal points that are desired for use. In particular, sound reproduction is produced by converting sound into electrical signals, generated by converting digital signals into analog signals, and the capacity of the loudspeaker system for reproduction is optimized by routing the subdivision of the vocal tract spectrum.
This known system is a multi-channel system in which each emitter or loudspeaker emitting sound reproduces the entire frequency range of the sound.
While these systems are beneficial in many respects, these systems also present the following facts: the reproduction of the musical instrument recording sometimes remains unchanged. In other words, in a typical, even optimized, high quality system, the effect naturally achieved by live music shows cannot be achieved, since it is generally not possible to modify the reproduction. Naturally, the musician cannot reproduce his performance accurately in a repetitive manner, and typical reproduction systems, in contrast, always repeat the same performance. This applies to the behaviour of a single instrument, but a similar concept can be repeated for a group of musicians. Orchestra commanders play an important role in the performance and interaction of different musical instruments. The modification of the original song should not be confused with the synthesized version, which is entirely artificial and is always reproduced in the same way anyway.
It is an object of the present invention to provide a system and a method for reproducing orchestra sounds which allow optimization of the frequency reproduction of a specific instrument and insertion of "variations" at the level of the individual instruments and at the level of the orchestra, which therefore have characteristics such as to overcome the limitations of said systems which still affect the prior art mentioned previously.
According to the present invention, there is provided a system for reproducing orchestra sounds as defined in claim 1.
According to the present invention, there is provided a method for reproducing orchestra sounds as defined in claim 8.
For a better understanding of the present invention, preferred embodiments will now be described, by way of non-limiting example only, with reference to the accompanying drawings, in which:
fig. 1 shows a block diagram of a system for reproducing orchestra sounds according to the invention.
Referring to the drawings and in particular to fig. 1, there is shown a system for reproducing orchestra sounds according to the present invention.
In more detail, the system for reproducing the sound of an orchestra comprises: a neural network based coordination module 101; a sound source 102 that receives an activation signal from the coordination module 101 to transmit an auditory signal; one or more musical instruments 103a, 103b … … 103n that receive sound signals from a sound source 102; the transmitter groups 104a1, 104a2 … … 104 am; 104b1, 104b2 … … 104 bn; 104n1, 104n2 … … 104nm, each group being associated with a musical instrument 103a, 103b … … 103n, respectively, and receiving sound signals processed by the musical instruments 103a, 103b … … 103 n.
According to one aspect of the invention, emitters 104a1, 104a2 … … 104 am; 104b1, 104b2 … … 104 bn; 104n1, 104n2 … … 104nm are configured to operate in phase and have a frequency band and emission angle similar to those of musical instruments that emit sound. Namely, emitters 104a1, 104a2 … … 104 am; 104b1, 104b2 … … 104 bn; 104n1, 104n2 … … 104nm are so configured as to reproduce the emission pattern of a real emitting musical instrument whose sound is reproduced. In practice, each instrument has a sound emission with spatially distributed characteristics determined by its physical structure, which is taken into account here to obtain a very high quality level.
Advantageously, according to the invention, the transmitter 104a1, 104a2 … … 104am of each instrument; 104b1, 104b2 … … 104 bn; 104n1, 104n2 … … 104nm are appropriately out of phase with several reproduction elements appropriately placed in a predetermined space to allow the sound intensity most simulating the real emitting musical instrument represented to be synthesized in each direction.
Advantageously, according to the present invention, the directionality and beam pattern of the individual and intra-group instruments not only provide a more realistic reproduction, but also provide "variation".
According to another aspect of the invention, the coordination module 101 is configured to manage the classification of the sound signals emitted by the sound source 102 to the individual instruments 103a, 103b … … 103n, this management involving the possibility of inserting variations in the signals reproduced by each instrument, which may result in slight differences in execution times, in the reproduced precise pitch, in the execution tempo, and in slightly different emission directions and instrument beam patterns. In this way, the system enables the assembly to be satisfactory and to more realistically represent a realistic performance produced by a professional musician, albeit not completely accurate for the source 102. Further, in accordance with an aspect of the present invention, the coordination module 101 is configured to manage a variable number of instruments 103a … … 103n and transmitters 104a1, 104a2 … … 104an, 104n1 … … 104 nm.
Advantageously, according to the invention, the neural network and the single instrument 103a, 103b … … 103n to be assigned to the coordination module 101 are not managed with accuracy, the single instrument 103a, 103b … … 103n being trained specifically by learning a real "imperfect" performance.
Advantageously, according to the present invention, the coordination module 101 may be set from a basic mode (referred to herein as "Legacy") to a most complex mode (referred to herein as "creative"), depending on an increased level of complexity required for sound reproduction.
Advantageously, according to the invention, the system 100 can automatically set different reproduction modes:
1) repeat pattern (wiedeholung): a Legacy mode (Legacy mode) which reproduces sounds in a manner similar to that of a Legacy playback device. Starting from a monaural multichannel source, the content set is directed through a filtering system or similar to an available transmitter that is more appropriate in terms of the frequency band to be reproduced. In this case, the coordination module 101 does not need a function.
2) In this case, the coordination module 101 ensures that each instrument track is directed to the correct transmitter with the correct time for the required spatial arrangement.
3) Command mode (derLeiter): the commander performs the complete performance on the orchestra. After proper learning of the original track, the individual instrument track is used and modified according to the changes determined by the coordination module 101 before being sent to the individual instrument and instrument group.
4) Creative mode ("creative"): the performance is free by the director, especially with individual instruments using tracks decided after appropriate learning as a starting point. Thus, each instrument 103 requires the function of a neural network.
Advantageously, according to the present invention, the sound source 102 is composed of specific frequencies, tones and "beam patterns".
Advantageously, in accordance with the present invention, each transmitter 104a … … 104n is optimized for a particular frequency of instrument type.
Advantageously, according to the invention, the individual instruments are associated in subgroups ("meinstime") and are spatially arranged so as to obtain sound emission angles similar to those obtained by the same set of instruments in a real orchestra.
In accordance with one aspect of the present invention, the coordination module 101 and the instruments 103a, 103b … … 103n are coupled such that the neural network is configured to: managing routing of sound signals emitted by the sound source (102) to individual instruments (103a, 103b … … 103 n); inserting variations on the signals that can be reproduced by each instrument, said variations causing slight differences in the execution time or the exact key to be reproduced or the reproduced rhythm; managing inaccuracies by learning imperfect real performances; and introduce variations in directivity and then in the spatial beam pattern of the individual or instrument groups.
Advantageously, according to the invention, the neural network allows the system to learn or acquire possible variations in the sound signals emitted by the sound sources, process them and reproduce these variations, which are due to the same "imperfections" in the emitted sound related to the individual instruments of the actual orchestra.
According to one aspect of the invention, by way of example, the system 100 includes a plurality of instruments ranging from 1 up to 256 units, although the method is not limited to this number.
In use, the system 100 simulates the frequencies of individual instruments and groups of instruments by the spatial distribution of the instruments 103a … … 103n by means of the transmitters 104a … … 104 n. In addition, a single real emitting instrument is emitted into space by an emitter associated with a particular instrument at an emission angle that is simulated by the system 100. Finally, it introduces acoustic changes through the neural network, namely: inaccuracy of tempo, inaccuracy of individual instrument pitch, directionality of individual instrument and beam pattern variation.
The neural network in the present invention performs more activities: sound distribution management and the introduction of creative "variations". In particular the last function, acts on the tutorial module 101 and on the single instrument 103a … … 103n and performs the following activities: it is trained over several different runs of the same original performance, the training rules relating to the behavior that the trainer wants to use (e.g., the same orchestra or a different orchestra, the same performer, or a different performer); the neural network is implemented in software and has a customized computer board (based on FPGA) that summarizes and gives an indication of the degree and type of learning (tempo, pitch, beam shape); when the audiologist considers the neural network belonging to the entire orchestral system ready, he stops the learning process, saves it and reproduces the concert using this execution mode. This process can be repeated, modified, starting with a previously saved learning phase, etc. To create a library of behaviors, the entire system can be used to perform beneficial and original performances, each time surprisingly novel. Then, the present invention inserts "variations" or typical imperfections (other than noise) of a real orchestra musical performance in the reproduced sound, whether at the level of a single instrument or at the level of the entire orchestra system, in order to reproduce the sound realistically.
As mentioned above, the invention also relates to a method of reproducing orchestra sounds.
The method comprises the following steps:
-providing a transmission initiation signal of the sound signal;
-emitting sound signals to one or more instruments;
-processing the sound signal;
-transmitting the sound signal processed by phase coherence and frequency band to reproduce a transmission map of each instrument transmitting sound;
-inserting variations on the reproduced signal.
More specifically, these variations are introduced by the neural network system present in each instrument 103a, 103b … … 103n and the coordination module 101 through a learning phase, the management of which is assigned to the coordination module 101. These learning phases consist in reproducing the source 102 in different performance cycles (obtained from the same original orchestra or different orchestra performances), depending on the particularities associated with our new orchestra.
Therefore, the system and method for reproducing the sound of an orchestra according to the present invention can reproduce the sound of the entire orchestra in a realistic manner.
Another advantage of the system and method for reproducing orchestra sounds according to the present invention is that: it can be inserted simultaneously into the "bug" of a single instrument and the entire orchestra.
Finally, the system and method for reproducing orchestra sounds according to the invention are easy to implement and cost-limited in terms of the advantages that can be obtained.
Finally, it is apparent that the system and method for reproducing orchestra sounds described and illustrated herein may be modified and varied without departing from the scope of the invention, as defined in the appended claims.
Claims (6)
1. A system (100) for reproducing sound of an orchestra, the orchestra consisting of instruments that emit sound, the system comprising:
at least one sound source (102) that receives an activation signal from the coordination module (101) to transmit a sound signal; and
a plurality of sets of transmitters (104a1, 104a2.. 104 am; 104b1, 104b2...104 bn; 104n1, 104n2...104nm), wherein each set of transmitters is respectively associated with the musical instrument (103a, 103b.. 103n) and receives sound signals processed by the musical instrument (103a, 103b.. 103 n);
it is characterized by comprising:
a plurality of musical instruments (103a, 103b.. 103n) based on a neural network and receiving sound signals from a sound source (102); and
at least one coordination module (101) trained on neural networks of rhythms, tones and beam shapes in a real orchestra and configured for managing sound distribution of the musical instruments (103a, 103b.. 103n) and for introducing creative variations.
2. A system (100) for reproducing the sound of an orchestra according to claim 1, wherein the coordination module (101) is connected to the musical instruments (103a, 103b.. 103n) such that the neural network is configured to:
-managing the routing of sound signals emitted by the sound source (102) to a single instrument (103a, 103b.. 103 n);
-inserting variations of the signals reproducible by each instrument, said variations causing subtle variations in the execution time or the exact shade or rhythm of reproduction; and
-managing inaccuracies by imperfect real performance; and
-introducing a variation in directivity, followed by a variation in spatial beam pattern of the individual or group of instruments.
3. A system (100) for reproducing orchestra sounds according to claim 1, wherein the individual instruments (103a, 103b.. 103n) are associated as sub-groups (simultaneously) and spatially arranged such that the emission angle of the sound is available at the real concert similar to that obtained by the same group of instruments (103a, 103b.. 103 n).
4. A system (100) for reproducing orchestral sounds according to claim 1, wherein the coordination module (101) is configured to manage a variable number of instruments (103a, 103b.. 103n) and transmitters (104a1, 104a2.. 104 am; 104b1, 104b2...104 bn; 104n1, 104n2...104 nm).
5. The system (100) for reproducing orchestral sounds according to claim 1, wherein the coordination module (101) is arranged in a basic mode ("Legacy") or a complex mode ("Kreative") depending on the degree of complexity required to increase the sound reproduction.
6. A system (100) for reproducing orchestral sounds according to claim 1, wherein the transmitters (104a1, 104a2.. 104 am; 104b1, 104b2...104 bn; 104n1, 104n2...104nm) are configured to operate in phase coherence and are configured with frequency bands to reproduce the transmission pattern of each instrument transmitting sound.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| IT102016000131975A IT201600131975A1 (en) | 2016-12-29 | 2016-12-29 | System and method of reproducing the sound of an orchestra |
| IT102016000131975 | 2016-12-29 | ||
| PCT/IB2017/058415 WO2018122730A1 (en) | 2016-12-29 | 2017-12-27 | System and method for reproducing the sound of an orchestra |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110770817A true CN110770817A (en) | 2020-02-07 |
| CN110770817B CN110770817B (en) | 2024-03-12 |
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Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201780081620.4A Active CN110770817B (en) | 2016-12-29 | 2017-12-27 | System and method for reproducing orchestra sound |
Country Status (3)
| Country | Link |
|---|---|
| CN (1) | CN110770817B (en) |
| IT (1) | IT201600131975A1 (en) |
| WO (1) | WO2018122730A1 (en) |
Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10748515B2 (en) * | 2018-12-21 | 2020-08-18 | Electronic Arts Inc. | Enhanced real-time audio generation via cloud-based virtualized orchestra |
| US10799795B1 (en) | 2019-03-26 | 2020-10-13 | Electronic Arts Inc. | Real-time audio generation for electronic games based on personalized music preferences |
| US10790919B1 (en) | 2019-03-26 | 2020-09-29 | Electronic Arts Inc. | Personalized real-time audio generation based on user physiological response |
| US10657934B1 (en) | 2019-03-27 | 2020-05-19 | Electronic Arts Inc. | Enhancements for musical composition applications |
| US10643593B1 (en) | 2019-06-04 | 2020-05-05 | Electronic Arts Inc. | Prediction-based communication latency elimination in a distributed virtualized orchestra |
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| US5138928A (en) * | 1989-07-21 | 1992-08-18 | Fujitsu Limited | Rhythm pattern learning apparatus |
| JPH09116361A (en) * | 1995-10-19 | 1997-05-02 | Matsushita Electric Ind Co Ltd | Automatic volume control equipment |
| US6157724A (en) * | 1997-03-03 | 2000-12-05 | Yamaha Corporation | Apparatus having loudspeakers concurrently producing music sound and reflection sound |
| CN1379898A (en) * | 1999-09-16 | 2002-11-13 | 汉索尔索弗特有限公司 | Method and apparatus for playing musical instruments based on digital music file |
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| CN101221751A (en) * | 2007-01-10 | 2008-07-16 | 雅马哈株式会社 | Sound collector, sound signal transmitter and music performance system for remote players |
| US20110270790A1 (en) * | 2010-04-30 | 2011-11-03 | The Intellisis Corporation | Noise cleanup |
| CN102726066A (en) * | 2010-02-02 | 2012-10-10 | 皇家飞利浦电子股份有限公司 | Spatial sound reproduction |
| CN105632479A (en) * | 2014-10-28 | 2016-06-01 | 富泰华工业（深圳）有限公司 | Music processing system and music processing method |
-
2016
- 2016-12-29 IT IT102016000131975A patent/IT201600131975A1/en unknown
-
2017
- 2017-12-27 CN CN201780081620.4A patent/CN110770817B/en active Active
- 2017-12-27 WO PCT/IB2017/058415 patent/WO2018122730A1/en active Application Filing
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US5138928A (en) * | 1989-07-21 | 1992-08-18 | Fujitsu Limited | Rhythm pattern learning apparatus |
| JPH09116361A (en) * | 1995-10-19 | 1997-05-02 | Matsushita Electric Ind Co Ltd | Automatic volume control equipment |
| US6157724A (en) * | 1997-03-03 | 2000-12-05 | Yamaha Corporation | Apparatus having loudspeakers concurrently producing music sound and reflection sound |
| CN1379898A (en) * | 1999-09-16 | 2002-11-13 | 汉索尔索弗特有限公司 | Method and apparatus for playing musical instruments based on digital music file |
| WO2004032351A1 (en) * | 2002-09-30 | 2004-04-15 | Electro Products Inc | System and method for integral transference of acoustical events |
| CN101221751A (en) * | 2007-01-10 | 2008-07-16 | 雅马哈株式会社 | Sound collector, sound signal transmitter and music performance system for remote players |
| CN102726066A (en) * | 2010-02-02 | 2012-10-10 | 皇家飞利浦电子股份有限公司 | Spatial sound reproduction |
| US20110270790A1 (en) * | 2010-04-30 | 2011-11-03 | The Intellisis Corporation | Noise cleanup |
| CN105632479A (en) * | 2014-10-28 | 2016-06-01 | 富泰华工业（深圳）有限公司 | Music processing system and music processing method |
Also Published As
| Publication number | Publication date |
|---|---|
| IT201600131975A1 (en) | 2018-06-29 |
| WO2018122730A1 (en) | 2018-07-05 |
| CN110770817B (en) | 2024-03-12 |
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