EP0734567B1 - Signalanalyseeinrichtung mit mindestens einer gespannten saite und einem aufnehmer - Google Patents
Signalanalyseeinrichtung mit mindestens einer gespannten saite und einem aufnehmer Download PDFInfo
- Publication number
- EP0734567B1 EP0734567B1 EP95901439A EP95901439A EP0734567B1 EP 0734567 B1 EP0734567 B1 EP 0734567B1 EP 95901439 A EP95901439 A EP 95901439A EP 95901439 A EP95901439 A EP 95901439A EP 0734567 B1 EP0734567 B1 EP 0734567B1
- Authority
- EP
- European Patent Office
- Prior art keywords
- string
- pulses
- groups
- neural network
- signal
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Expired - Lifetime
Links
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Classifications
-
- 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
- G10H3/00—Instruments in which the tones are generated by electromechanical means
- G10H3/12—Instruments in which the tones are generated by electromechanical means using mechanical resonant generators, e.g. strings or percussive instruments, the tones of which are picked up by electromechanical transducers, the electrical signals being further manipulated or amplified and subsequently converted to sound by a loudspeaker or equivalent instrument
- G10H3/14—Instruments in which the tones are generated by electromechanical means using mechanical resonant generators, e.g. strings or percussive instruments, the tones of which are picked up by electromechanical transducers, the electrical signals being further manipulated or amplified and subsequently converted to sound by a loudspeaker or equivalent instrument using mechanically actuated vibrators with pick-up means
- G10H3/18—Instruments in which the tones are generated by electromechanical means using mechanical resonant generators, e.g. strings or percussive instruments, the tones of which are picked up by electromechanical transducers, the electrical signals being further manipulated or amplified and subsequently converted to sound by a loudspeaker or equivalent instrument using mechanically actuated vibrators with pick-up means using a string, e.g. electric guitar
-
- 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
- G10H3/00—Instruments in which the tones are generated by electromechanical means
- G10H3/12—Instruments in which the tones are generated by electromechanical means using mechanical resonant generators, e.g. strings or percussive instruments, the tones of which are picked up by electromechanical transducers, the electrical signals being further manipulated or amplified and subsequently converted to sound by a loudspeaker or equivalent instrument
- G10H3/14—Instruments in which the tones are generated by electromechanical means using mechanical resonant generators, e.g. strings or percussive instruments, the tones of which are picked up by electromechanical transducers, the electrical signals being further manipulated or amplified and subsequently converted to sound by a loudspeaker or equivalent instrument using mechanically actuated vibrators with pick-up means
- G10H3/18—Instruments in which the tones are generated by electromechanical means using mechanical resonant generators, e.g. strings or percussive instruments, the tones of which are picked up by electromechanical transducers, the electrical signals being further manipulated or amplified and subsequently converted to sound by a loudspeaker or equivalent instrument using mechanically actuated vibrators with pick-up means using a string, e.g. electric guitar
- G10H3/186—Means for processing the signal picked up from the strings
- G10H3/188—Means for processing the signal picked up from the strings for converting the signal to digital format
-
- 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
- G10H3/00—Instruments in which the tones are generated by electromechanical means
- G10H3/12—Instruments in which the tones are generated by electromechanical means using mechanical resonant generators, e.g. strings or percussive instruments, the tones of which are picked up by electromechanical transducers, the electrical signals being further manipulated or amplified and subsequently converted to sound by a loudspeaker or equivalent instrument
- G10H3/125—Extracting or recognising the pitch or fundamental frequency of the picked up signal
-
- 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
- G10H2210/031—Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal
- G10H2210/066—Musical analysis, i.e. isolation, extraction or identification of musical elements or musical parameters from a raw acoustic signal or from an encoded audio signal for pitch analysis as part of wider processing for musical purposes, e.g. transcription, musical performance evaluation; Pitch recognition, e.g. in polyphonic sounds; Estimation or use of missing fundamental
-
- 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
Definitions
- the invention relates to a signal analysis device with at least one string that is vibrating Length by contact with at least one bundle is changeable, with a transducer and with a evaluation device connected to the transducer.
- Such a signal analysis device can also be used shortly called “guitar synthesizer”.
- US-A-4 823 667 therefore shows a signal analysis device as an electronic musical instrument, the kind of Guitar is operated using a frequency analyzer the frequency of the excited string is provided determined.
- a frequency analyzer the frequency of the excited string is provided determined.
- timing problems With a normal guitar the lowest tone has a frequency of around 80 Hz (exactly: 82 Hz), so that a full oscillation takes about 12.5 ms claimed. Since one is usually used for security reasons want to measure two vibrations to be reliable To come up with statements adds up the necessary Time already to 25 ms. This does not take into account that after stringing, e.g. by Plucking or beating, still needs some time, to get into the steady state.
- Time period to be set which is quite double can be a period length, so that the desired Pitch information only available after 50 ms stands.
- a time delay of 50 ms is for but a musician is already clearly noticeable. It corresponds the installation of the loudspeaker in one Distance of about 15 m.
- EP-A-0 227 906 shows an electronic string instrument like a guitar with an evaluation device to determine the pitch that occurs when playing through the guitar strings are created.
- the evaluation device is connected to two transducers.
- the one pickup serves to determine the vibration the string itself. As long as the string is swinging, is a Sound made.
- the other pickup has at the same time the function of a transmitter with which ultrasound pulses to be put on the string. The transit time of the ultrasonic pulses can be evaluated to provide information to win over the string length and thus the pitch.
- EP-A-0 288 062 shows a similar musical instrument a signal analysis device in which the transducer arrangement also has an acoustic pickup, which determines the vibration of the string itself and an ultrasound arrangement, the ultrasound pulses couples onto the string and receives from there.
- the Time difference between sending and receiving the ultrasonic pulses provides information about the active string length.
- the invention is based, with one Guitar synthesizers get the pitch information faster to be able to win.
- This task is performed with a signal analysis device of the type mentioned at the outset in that the evaluation device Impulses or groups of impulses recorded after picking up the string by striking the String by a player on the string on the pickup walk past, and due to the chronological order of the Pulse or the pulse groups generates a signal that represents a pitch.
- the evaluation device preferably also detects the Polarity of the pulses or pulse groups and determined from the temporal sequence of the impulses or impulse groups a signal that represents the excitation position of the string.
- the string's excitation position i.e. the spot, on the string plucked or struck or on other way of moving is playing the guitar one of the outstanding design options for the player. Because you have two pulses or groups of pulses has available that is different from the stimulus position from in opposite directions on the Moving the string and with corresponding time delays at the respective clamping points of the strings can be reflected due to the different
- the duration of the impulses is also information win over where the suggestion was located. You get this information practically the same way quickly like the information about the pitch so that the determination of the excitation position is no further Delay means.
- the evaluation device preferably has a neural one Network on that any sequence of pulses or pulse groups classified into one of a variety of classes.
- the consequences of impulses or impulse groups, that can be assigned to a certain pitch have essential similarities that a neural Network can be found relatively easily. You can here with similarities between the individual pulse sequences or satisfy sequences of impulse groups, without having to evaluate each pulse train exactly in time got to.
- the timely evaluation can occasionally to be difficult if the impulses not in the desired purity, but instead are surrounded by noise. In this case it can sometimes be difficult to get accurate start and finish End times for the measurement of the distances from individual Define impulses or impulse groups.
- a neural network can be programmed that it is the decision which pitch is present and at what position the string has been excited, simply due to similarities.
- a neural network has the advantage that it is not necessarily explicit predetermined rules, according to which there are similarities judged. Rather, a neural network can be trained, i.e. by presenting a Plenty of examples with the right results it forms algorithms or control behavior itself from which it enables the following examples to be correct to classify.
- a neural network can also be used in to some extent also make generalizations, whereby it forms the rules for the generalizations themselves.
- the neural network is therefore capable of pulse trains or sequences of impulse groups even then relative to recognize exactly when the given pulse train not exactly with an already trained pulse train matches. Because neural networks usually use one Large number of processors working in parallel are fast enough to signal the pitch available in the required short period of time to deliver.
- the evaluation device has a Comparison device having a string Pitch signal obtained in the steady state with the signal obtained from the pulse sequence and in the event of a deviation that is a predetermined one Dimension exceeds a learning algorithm of the neural Triggers the network.
- the evaluation device limits the Pitch detection is therefore not based on the evaluation of the "Plucking transients". Rather, this evaluation is only the beginning, however, which enables the pitch signal to be made available within a very short time.
- the evaluation device also monitors whether that recognized signal with the later in the swinging String forming pitch matches. Is this the Case the "prediction" was correct and there are none further measures necessary.
- the result of the comparison can be used be another training example to the neural network to provide. Using this training example can learn the neural network again and improve its detection algorithm.
- the neural network is preferably a selection device upstream, the individual from a pulse group Selects impulses. This is especially true of Advantage if the neural network is limited Provides work capacity. In this case the amount of information, that the neural network has to process, keep smaller.
- a signal analysis or generation device 1 has six strings E1, H2, G3, D4, A5 and E6 on the after Kind of a guitar.
- a sensor 2 is provided, for example as electromagnetic or piezoelectric pickups can be trained.
- the transducers 2 are with one Analog / digital converter 3 connected in the illustrated Embodiment for each transducer 2 one Has channel, that is six channels.
- the analog / digital converter 3 is with a microprocessor 4 connected to the input and output management accomplished for a neural network 5. Between the microprocessor 4 and the neural network 5 can a selection device 6 may also be provided, whose function will be described later.
- the analog / digital converter 3 with a frequency meter 7 connected.
- the frequency meter 7 and the Microprocessor 4 are with a comparison device 8 connected.
- the comparison device 8 is with a MIDI interface 9 connected.
- the comparison facility 8 is also connected to the neural network 5 with a learning input 10.
- the neural network 5 receives, managed by the microprocessor 4 and possibly prepared by the Selector 6, a sequence of pulses or groups of pulses and classifies these episodes into one of a variety of specific classes. Every class allows a statement about the pitch and if necessary also about the excitation position of the string, as explained below.
- Fig. 2 shows schematically a string 11 which between a fixed clamping point 12 and a clamping point 13, on which the voltage is adjustable, clamped is.
- the string 11 spans a guitar neck 14 the different frets 15 are arranged.
- Through a Arrow 16 shows a fret on which the string 11 is depressed. This bundle 16 determines together with the clamping point 12 the effective length of the string 11.
- the responsible pickup 2 is arranged under the string.
- a triangle 17 which is a guitar pick or the like Plucking tool should symbolize is an excitation position shown for string 11. If so the string 11 plucked at this stimulation position or is struck, does not immediately arise standing wave at the frequency required for the pitch is characteristic. Rather, a settling process begins, which describes itself in a simplified way leaves that from the excitation position two pulses 18, 19 run left and right. These impulses or traveling waves are indicated by a 1 and drawn 2 different from each other. Of the Pulse 18 now runs to the left up to collar 16 the string is held down. There he is under Phase rotation reflects and runs back again. In in the same way, pulse 19 runs to the right to the clamping point 12 where it reflects with phase shift and runs back again. The back and forth Impulses or waves overlap and reproduce the known standing wave with which the string 11 vibrates.
- the movement or walking speed of the pulses 18 or 19 on the string 11 is known. You can now determine the active length of the string 11 from the time difference T1, which is the distance between the times t5 and t1, with the aid of this traveling speed. But this is also the length that is responsible for the pitch of the string 11. If the distance between the transducer 2 and the collar 16 or the collars 15 is known, the distance T 2 would in principle also be sufficient, that is the distance between the times t2 and t1. This gives you the option of fine-tuning because the guitarist can slightly vary the pitch by slightly shifting his finger on frets 15, 16. In addition, in many cases the pulses cannot be distinguished as clearly as is shown in FIG. 3 for the sake of simplicity. Rather, the individual impulses may become blurred and smeared, in particular if, when plucking or striking the string 11, it is not individual impulses, as shown, but entire groups of impulses.
- the position of the excitation can be deduced from the time difference T 3 , namely from the difference between the times t3 and t1. If the string length is known from the difference T1, the difference T3 can be used to calculate backwards at which fraction of the string the excitation took place.
- the time measurement is used to determine the distance the impulses shown occasionally with uncertainties charged.
- the Sequence of pulse groups which is detected by the transducer 2 with the help of the selection device 6 individual Selected pulses that are fed to the neural network 5 will.
- the neural network can have similarities recognize between individual sequences of impulse groups and the "plucking transients" caused by these pulse trains are represented, so classify their assignment to individual classes, each a pitch and reproduce an excitation position with great certainty is possible.
- the recognition process is carried out by triggered pulses.
- the successive positive and negative impulses or impulse groups are forwarded to the neural network, that tries every time to record the pattern or the recorded sequence of a previously learned sequence assign.
- the neural network produces a positive result or the frequency meter 7 has the corresponding Has provided information.
- the neural Network which the rules for detection when appropriate Programming can form itself, but sufficient Information saved to the classification to be able to make it extremely effectively.
- the neural network 5 also forms certain rules for generalizations, so that patterns not actually learned can be recognized if these have certain similarities to the already learned examples.
- the Comparison device 8 compares that by the neural Network 5 determined pitch with a later determined the frequency meter 7.
- the comparison facility 8 namely couples the determined Error back into the neural network 5 and triggers one new learning algorithm so that the same error not because of the improved recognition option can occur once. If there is no difference, gives the comparison device 8 or the signals continue unchanged to the MIDI interface 9.
- the output results of the neural network are like this further processed that the MIDI interface 9 MIDI signals which can provide a MIDI synthesizer or control an expander module.
- the pitch coded in the MIDI signal corresponds to the Pitch of the guitar string.
- the plucking position as coded Sound character may be included.
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Electrophonic Musical Instruments (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Sorting Of Articles (AREA)
Abstract
Description
- Fig. 1
- eine schematische Darstellung einer Signalanalyseeinrichtung,
- Fig. 2
- einen schematischen Aufbau einer Saite und
- Fig. 3
- eine schematische Darstellung eines Signalverlaufes.
Claims (6)
- Signalanalyseeinrichtung (1) mit mindestens einer gespannten Saite (11), deren schwingungsfähige Länge durch Anlage an mindestens einen Bund (15) veränderbar ist, mit einem Aufnehmer (2) und mit einer mit dem Aufnehmer (2) verbundenen Auswerteeinrichtung, dadurch gekennzeichnet, daß die Auswerteeinrichtung als Zupftransienten ausgebildete Impulse oder Impulsgruppen, die nach einer Anregung der Saite (11) durch das Anschlagen der Saite durch einen Spieler auf der Saite (11) an dem Aufnehmer (2) vorbeilaufen, erfaßt, deren Laufzeit auf der Saite auswertet und aufgrund der Laufzeit bzw. der Laufzeitdifferenzen zwischen einzelnen Impulsen oder der Impulsgruppen (Fig. 3) ein Signal erzeugt, das eine Tonhöhe darstellt.
- Einrichtung nach Anspruch 1, dadurch gekennzeichnet, daß die Auswerteeinrichtung auch die Polarität der Impulse oder Impulsgruppen erfaßt und aus der zeitlichen Folge der Impulse oder Impulsgruppen ein Signal ermittelt, das die Anregungsposition (17) der Saite (11) darstellt.
- Einrichtung nach Anspruch 1 oder 2, dadurch gekennzeichnet, daß die Auswerteeinrichtung ein neuronales Netz (5) aufweist, das jede Folge von Impulsen oder Impulsgruppen in eine aus einer Vielzahl von Klassen klassifiziert.
- Einrichtung nach Anspruch 3, dadurch gekennzeichnet, daß die Auswerteeinrichtung eine Vergleichseinrichtung (8) aufweist, die ein von der Saite (11) im eingeschwungenen Zustand gewonnenes Tonhöhen-Signal mit dem aus der Impuls-Folge gewonnenen Signal vergleicht und bei einer Abweichung, die ein vorbestimmtes Maß übersteigt, einen Lernalgorithmus des neuronalen Netzes (5) auslöst.
- Einrichtung nach Anspruch 3 oder 4, dadurch gekennzeichnet, daß dem neuronalen Netz (5) eine Auswahleinrichtung (6) vorgeschaltet ist, die aus einer Impulsgruppe einzelne Impulse auswählt.
- Einrichtung nach einem der Ansprüche 1 bis 5, dadurch gekennzeichnet, daß für jede Saite (11) ein eigener Aufnehmer (2) vorgesehen ist.
Applications Claiming Priority (3)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
DE4343411A DE4343411C2 (de) | 1993-12-18 | 1993-12-18 | Gitarren-Signalanalyseeinrichtung |
DE4343411 | 1993-12-18 | ||
PCT/EP1994/003917 WO1995016984A1 (de) | 1993-12-18 | 1994-11-26 | Signalanalyseeinrichtung mit mindestens einer gespannten saite und einem aufnehmer |
Publications (2)
Publication Number | Publication Date |
---|---|
EP0734567A1 EP0734567A1 (de) | 1996-10-02 |
EP0734567B1 true EP0734567B1 (de) | 1998-10-07 |
Family
ID=6505487
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP95901439A Expired - Lifetime EP0734567B1 (de) | 1993-12-18 | 1994-11-26 | Signalanalyseeinrichtung mit mindestens einer gespannten saite und einem aufnehmer |
Country Status (8)
Country | Link |
---|---|
US (1) | US5824937A (de) |
EP (1) | EP0734567B1 (de) |
JP (1) | JP3020608B2 (de) |
KR (1) | KR100189795B1 (de) |
AU (1) | AU1067495A (de) |
CA (1) | CA2174223C (de) |
DE (1) | DE4343411C2 (de) |
WO (1) | WO1995016984A1 (de) |
Families Citing this family (20)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3460408B2 (ja) * | 1995-09-22 | 2003-10-27 | ヤマハ株式会社 | 楽音制御装置 |
JP3653854B2 (ja) * | 1996-03-08 | 2005-06-02 | ヤマハ株式会社 | 弦楽器型電子楽器 |
JP3424787B2 (ja) * | 1996-03-12 | 2003-07-07 | ヤマハ株式会社 | 演奏情報検出装置 |
US6034689A (en) * | 1996-06-03 | 2000-03-07 | Webtv Networks, Inc. | Web browser allowing navigation between hypertext objects using remote control |
DE19649296C2 (de) * | 1996-11-28 | 2002-01-17 | Blue Chip Music Gmbh | Verfahren zur Tonhöhenerkennung bei zupf- oder schlagerregten Saiteninstrumenten |
US6610917B2 (en) * | 1998-05-15 | 2003-08-26 | Lester F. Ludwig | Activity indication, external source, and processing loop provisions for driven vibrating-element environments |
US6766288B1 (en) | 1998-10-29 | 2004-07-20 | Paul Reed Smith Guitars | Fast find fundamental method |
US6836056B2 (en) | 2000-02-04 | 2004-12-28 | Viking Technologies, L.C. | Linear motor having piezo actuators |
AU2001243481A1 (en) | 2000-03-07 | 2001-09-17 | Viking Technologies, Inc. | Method and system for automatically tuning a stringed instrument |
US6548938B2 (en) | 2000-04-18 | 2003-04-15 | Viking Technologies, L.C. | Apparatus having a pair of opposing surfaces driven by a piezoelectric actuator |
US6717332B2 (en) | 2000-04-18 | 2004-04-06 | Viking Technologies, L.C. | Apparatus having a support structure and actuator |
US6759790B1 (en) | 2001-01-29 | 2004-07-06 | Viking Technologies, L.C. | Apparatus for moving folded-back arms having a pair of opposing surfaces in response to an electrical activation |
EP1363234B1 (de) * | 2001-02-21 | 2009-03-11 | Sony Corporation | Signalverarbeitungseinrichtung |
WO2008095190A2 (en) * | 2007-02-01 | 2008-08-07 | Museami, Inc. | Music transcription |
US20090288547A1 (en) * | 2007-02-05 | 2009-11-26 | U.S. Music Corporation | Method and Apparatus for Tuning a Stringed Instrument |
WO2008101130A2 (en) * | 2007-02-14 | 2008-08-21 | Museami, Inc. | Music-based search engine |
US8494257B2 (en) | 2008-02-13 | 2013-07-23 | Museami, Inc. | Music score deconstruction |
DE102008044933B3 (de) * | 2008-08-29 | 2010-04-22 | Uli Gobbers | Laser PickUp |
US9633637B1 (en) | 2015-01-19 | 2017-04-25 | Hood World Productions, LLC | Magnetic resonance tuning device for stringed instruments |
WO2017182533A1 (en) * | 2016-04-19 | 2017-10-26 | Universiteit Gent | Method and system for playing musical instruments |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4151775A (en) * | 1977-08-31 | 1979-05-01 | Merriman George W | Electrical apparatus for determining the pitch or fundamental frequency of a musical note |
US4351216A (en) * | 1979-08-22 | 1982-09-28 | Hamm Russell O | Electronic pitch detection for musical instruments |
US4723468A (en) * | 1985-10-26 | 1988-02-09 | Nippon Gakki Seizo Kabushiki Kaisha | Electronic stringed instrument |
US4873904A (en) * | 1987-04-22 | 1989-10-17 | Yamaha Corporation | Electronic musical instrument having playing and parameter adjustment modes |
US4823667A (en) * | 1987-06-22 | 1989-04-25 | Kawai Musical Instruments Mfg. Co., Ltd. | Guitar controlled electronic musical instrument |
JPH0196700A (ja) * | 1987-10-08 | 1989-04-14 | Casio Comput Co Ltd | 電子楽器の入力制御装置 |
JPH027096A (ja) * | 1988-06-27 | 1990-01-11 | Casio Comput Co Ltd | 電子楽器 |
US4991488A (en) * | 1988-08-12 | 1991-02-12 | Fala Joseph M | Acoustic detection of note bending in stringed M.I.D.I. compatible musical instruments |
US5138924A (en) * | 1989-08-10 | 1992-08-18 | Yamaha Corporation | Electronic musical instrument utilizing a neural network |
US5308915A (en) * | 1990-10-19 | 1994-05-03 | Yamaha Corporation | Electronic musical instrument utilizing neural net |
-
1993
- 1993-12-18 DE DE4343411A patent/DE4343411C2/de not_active Expired - Lifetime
-
1994
- 1994-11-26 US US08/624,528 patent/US5824937A/en not_active Expired - Lifetime
- 1994-11-26 WO PCT/EP1994/003917 patent/WO1995016984A1/de active IP Right Grant
- 1994-11-26 JP JP7516491A patent/JP3020608B2/ja not_active Expired - Lifetime
- 1994-11-26 AU AU10674/95A patent/AU1067495A/en not_active Abandoned
- 1994-11-26 EP EP95901439A patent/EP0734567B1/de not_active Expired - Lifetime
- 1994-11-26 KR KR1019960700348A patent/KR100189795B1/ko not_active IP Right Cessation
- 1994-11-26 CA CA002174223A patent/CA2174223C/en not_active Expired - Lifetime
Also Published As
Publication number | Publication date |
---|---|
AU1067495A (en) | 1995-07-03 |
KR100189795B1 (ko) | 1999-06-01 |
CA2174223C (en) | 2000-08-22 |
EP0734567A1 (de) | 1996-10-02 |
DE4343411C2 (de) | 2001-05-17 |
JPH09510794A (ja) | 1997-10-28 |
DE4343411A1 (de) | 1995-06-22 |
US5824937A (en) | 1998-10-20 |
JP3020608B2 (ja) | 2000-03-15 |
CA2174223A1 (en) | 1995-06-22 |
KR960704298A (ko) | 1996-08-31 |
WO1995016984A1 (de) | 1995-06-22 |
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