EP0076234B1 - Procédé et dispositif pour traitement digital de la parole réduisant la redondance - Google Patents
Procédé et dispositif pour traitement digital de la parole réduisant la redondance Download PDFInfo
- Publication number
- EP0076234B1 EP0076234B1 EP82810391A EP82810391A EP0076234B1 EP 0076234 B1 EP0076234 B1 EP 0076234B1 EP 82810391 A EP82810391 A EP 82810391A EP 82810391 A EP82810391 A EP 82810391A EP 0076234 B1 EP0076234 B1 EP 0076234B1
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- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000012545 processing Methods 0.000 title claims description 17
- 230000015572 biosynthetic process Effects 0.000 claims abstract description 16
- 230000005284 excitation Effects 0.000 claims abstract description 7
- 238000003786 synthesis reaction Methods 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 10
- 238000001914 filtration Methods 0.000 claims description 8
- 230000005540 biological transmission Effects 0.000 claims description 7
- 238000005311 autocorrelation function Methods 0.000 claims description 2
- 238000002360 preparation method Methods 0.000 claims 1
- 238000011084 recovery Methods 0.000 claims 1
- 230000001755 vocal effect Effects 0.000 abstract description 8
- 230000006870 function Effects 0.000 description 8
- 238000010586 diagram Methods 0.000 description 6
- 230000000737 periodic effect Effects 0.000 description 3
- 238000005070 sampling Methods 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
- 230000003321 amplification Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 230000007423 decrease Effects 0.000 description 2
- 238000001208 nuclear magnetic resonance pulse sequence Methods 0.000 description 2
- 238000003199 nucleic acid amplification method Methods 0.000 description 2
- 238000013139 quantization Methods 0.000 description 2
- 210000001260 vocal cord Anatomy 0.000 description 2
- 238000012935 Averaging Methods 0.000 description 1
- 241000283707 Capra Species 0.000 description 1
- 206010034719 Personality change Diseases 0.000 description 1
- 239000006227 byproduct Substances 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 230000001419 dependent effect Effects 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000012432 intermediate storage Methods 0.000 description 1
- 238000007493 shaping process Methods 0.000 description 1
- 238000001228 spectrum Methods 0.000 description 1
- 230000002194 synthesizing effect Effects 0.000 description 1
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Classifications
-
- G—PHYSICS
- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G10L19/00—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis
- G10L19/04—Speech or audio signals analysis-synthesis techniques for redundancy reduction, e.g. in vocoders; Coding or decoding of speech or audio signals, using source filter models or psychoacoustic analysis using predictive techniques
- G10L19/06—Determination or coding of the spectral characteristics, e.g. of the short-term prediction coefficients
Definitions
- the invention relates to a method operating according to the method of linear predication and a corresponding device for redundancy-reducing digital speech processing according to the preamble of claim 1 and claim 13.
- the LPC vocoders known and available today are not yet fully satisfactory. Although the language synthesized again after the analysis is usually still relatively understandable, it is distorted and sounds artificial. One of the reasons for this is with difficulty in making the decision as to whether there is a voiced or an unvoiced speech section with sufficient certainty. Other causes include poor determination of the pitch period and inaccurate determination of the sound formation filter parameters.
- the data rate must in many cases be limited to a relatively low value. It is e.g. in the case of telephone networks, preferably only 2.4 kbit / sec.
- the data rate is determined by the number of speech parameters analyzed in each speech section, by the number of bits required for these parameters and by the so-called frame rate, i.e. given the number of speech sections per second.
- frame rate i.e. given the number of speech sections per second.
- at least slightly more than 50 bits are required per speech section. This automatically sets the maximum frame rate, e.g. in a 2.4 kbit / sec system to around 45 / sec.
- the voice quality at these relatively low frame rates is also correspondingly poor. It is not possible to increase the frame rate, which would in itself improve the voice quality, as this would exceed the specified data rate. To reduce the number of bits required per frame, on the other hand, a reduction in the number of parameters used or a coarsening of their quantization would be necessary, but this would automatically result in a deterioration in the quality of the speech reproduction.
- the present invention now deals primarily with these difficulties caused by predetermined data rates and has in particular the aim of improving a method or a device of the type defined at the outset with regard to the quality of the speech reproduction without increasing the data rates.
- the basic idea of the invention is therefore to save bits by improved coding of the speech parameters, so that the frame rate can be increased.
- there is also an interrelation between the coding of the parameters and the frame rate since less bit-intensive coding, which reduces redundancy, is only possible or makes sense at higher frame rates.
- this affects therefore, that the coding of the parameters according to the invention is based on the use of the correlation between adjacent voiced speech sections (interframe correlation), which of course becomes increasingly stronger with increasing frame rate.
- FIG. 1 The general structure and mode of operation of the speech processing device according to the invention are shown in FIG. 1. That from any source, e.g. Analog voice signal originating from a microphone 1 is band-limited in a filter 2 and then sampled and digitized in an A / D converter 3. The sampling rate is about 6 to 16 kHz, preferably about 8 kHz.
- the resolution is about 8 to 12 bit.
- the pass band of the filter 2 usually extends from approximately 80 Hz to approximately 3.1-3.4 kHz in the case of so-called broadband speech, and from approximately 300 Hz to 3.1-3.4 kHz in the telephone language.
- the speech section length is approximately 10 to 30 msec, preferably approximately 20 msec.
- the frame rate ie the number of frames per second, is approximately 30 to 100, preferably 50 to 70.
- sections as short as possible and correspondingly high frame rates are desirable, but there is one on the one hand, with real-time processing, the limited performance of the computer used and, on the other hand, the conclusion of the lowest possible bit rates during the transmission.
- the analysis is therefore essentially divided into two main procedures, on the one hand in the calculation of the amplifier factor or volume parameter and the coefficients or filter parameters of the underlying vocal tract model filter and on the other hand in the voiced-unvoiced decision and in determining the pitch -Period in voiced case.
- the filter coefficients are obtained in a parameter calculator 4 by solving the system of equations which is obtained when the energy of the prediction error, ie the energy of the difference between the actual samples and the samples estimated on the basis of the model assumption in the interval under consideration (speech section) is minimized as a function of the coefficients becomes.
- the system of equations is preferably solved using the autocorrelation method using an algorithm according to Durbin (see, for example, LB Rabiner and RW Schafer, “Digital Processing of Speech Signals”, Prentice Hall Inc., Englewood Cliffs, NJ, 1978, pages 411-413).
- the so-called reflection coefficients (k j ) also result, which are less sensitive transforms of the filter coefficients (a j ) to quantization.
- the reflection coefficients are always smaller than 1 and, in addition, their amount decreases with an increasing atomic number. Because of these advantages, these reflection coefficients (k j ) are preferably transmitted instead of the filter coefficients (a j ).
- the volume parameter G results from the algorithm as a by-product.
- the digital voice - signal Sn stored in a buffer 5 first as long are calculated until the filter parameters (a j). The signal then passes through an inverse filter 6 set with the parameters (a j ), which has an inverse transfer function to the transfer function of the vocal tract model filter.
- the result of this inverse filtering is a prediction error signal e n , which is similar to the excitation signal Xn multiplied by the gain factor G.
- This prediction error signal e n is now supplied in the case of telephone speech directly or in the case of broadband speech via a low-pass filter 7 to an autocorrelation stage 8, which forms the autocorrelation function AKF standardized to the zero-order autocorrelation maximum, on the basis of which the pitch period p is determined in a pitch extraction stage 9. specifically in a known manner as the distance between the second autocorrelation maximum RXX and the first maximum (zero order), an adaptive search method preferably being used.
- the language section under consideration is classified as voiced or unvoiced in a decision stage 11 according to certain criteria, which include also include the energy of the speech signal and the number of zero crossings in the section under consideration. These two values are determined in an energy determination stage 12 and a zero crossing determination stage 13.
- the parameter calculator described above determines a set of filter parameters for each speech section (frame).
- the filter parameters could also be determined differently, for example continuously by means of adaptive inverse filtering or another known method, the filter parameters being readjusted continuously with each sampling cycle, but only at the times determined by the frame rate for further processing or Transmission will be provided.
- the invention is in no way restricted in this regard. It is only essential that there is a set of filter parameters for each language section.
- the parameters (k j ), G and p obtained according to the method just described are then fed to a coding stage 14, where they are brought (formatted) and made available in a particularly bit-efficient form suitable for transmission, in a manner to be described in more detail below .
- the speech signal is recovered or synthesized from the parameters in a known manner in that the parameters initially decoded in a decoder 15 are fed to a pulse-noise generator 16, an amplifier 17 and a vocal tract model filter 18 and the output signal of the model filter 18 by means of a D / A converter 19 brought into analog form and then after the usual filtering 20 by a playback device, for. B. a speaker 21 is made audible.
- the volume parameter G controls the amplification factor of the amplifier 17, the filter parameters (k j ) define the transfer function of the sound formation or vocal tract model filter 18.
- Fig. 2 An example of such a system is shown in Fig. 2 as a block diagram.
- the multi-processor system shown essentially comprises four functional blocks, namely a main processor 50, two secondary processors 60 and 70 and an input / output unit 80. It implements both analysis and synthesis.
- the input / output unit 80 contains the stages designated 81 for analog signal processing, such as amplifiers, filters and automatic gain control, as well as the A / D converter and the D / A converter.
- the main processor 50 carries out the actual speech analysis or synthesis, for which purpose the determination of the filter parameters and the volume parameters (parameter calculator 4), the determination of energy and zero crossings of the speech signal (stages 13 and 12), the voiced-unvoiced decision (stage 11 ) and the determination of the pitch period (stage 9) or, on the synthesis side, the generation of the output signal (stage 16), its volume variation (stage 17) and its filtering in the speech model filter (filter 18).
- the main processor 50 is supported by the secondary processor 60, which carries out the intermediate storage (buffer 5), inverse filtering (stage 6), optionally the low-pass filtering (stage 7) and the autocorrelation (stage 8).
- the secondary processor 70 deals exclusively with the coding or decoding of the speech parameters and with the data traffic, e.g. a modem 90 or the like via an interface designated 71.
- the data rate in an LPC vocoder system is determined by the so-called frame rate, i.e. the number of speech segments per second, the number of language parameters used and the number of bits required to encode the language parameters.
- the basic principle of the invention consists in the consideration that if the speech signal is analyzed more often, that is to say the frame rate is increased, a better tracking of the transientities of the speech signal is possible. With stationary speech sections, a greater correlation between the parameters of the successive speech sections is thus achieved, which in turn leads to a more efficient, i.e. bit-saving coding can be used so that the overall data rate does not increase despite the increased frame rate, but the voice quality is significantly improved.
- This special coding of the speech parameters according to the invention is explained in more detail below.
- the basic idea of the parameter coding according to the invention is the so-called block coding principle, that is to say that the speech parameters are not coded independently of one another for each individual speech section, but rather two or three speech sections are combined to form a block and the parameters of all two or are coded within this block three language sections according to uniform rules and in such a way that in each case only the parameters of the first section are coded in full form, while the parameters of the other language section (s) are coded in differential form or possibly omitted or substituted entirely.
- the coding within the block is also carried out differently, taking into account the typical properties of human speech, depending on whether it is a voiced or unvoiced block, the first speech section in each case determining the voiced character of the block.
- Complete coding is understood to mean the usual coding of the parameters, for example 6 bit for the pitch parameter, 5 bit for the volume parameter and (for a ten-pole filter, for example) for the first four filter coefficients, each 5 bit, for the next four 4 bits each and reserved for the last two 3 or 2 bits.
- the decreasing number of bits for the higher filter coefficients is explained from the fact that the reflection coefficients usually used decrease in magnitude with increasing atomic number and essentially only determine the fine structure of the short-term speech spectrum.
- the coding according to the invention is different for the individual parameter types (filter coefficients, volume, pitch). It is explained below using the example of blocks consisting of three language sections each.
- the filter parameters of the first section are encoded in full form, the filter parameters of the second and third sections, however, in differential form, ie only in the form of their difference compared to the corresponding parameters of the first or if necessary also of the second section.
- the difference of a 5-bit parameter is e.g. represented by a 4-bit word, etc.
- the last, only 2-bit parameter could be encoded in this way, but this would make little sense with only 2-bit.
- the last filter parameter of the second and third sections is therefore either replaced by that of the first section or set to zero, which saves the transmission in both cases.
- the filter coefficients of the second speech section can also be adopted immediately with those of the first section and therefore do not need to be coded or transmitted at all.
- the bits released in this way can be used to encode the difference between the filter parameters of the third section and those of the first section with greater resolution.
- the coding is done in a different way.
- the filter parameters of the first section are full again, i.e. encoded in full form or full bit length, the filter parameters of the other two sections are not coded differentially, but also in full form.
- bit reduction use is made of the fact that in the unvoiced case the higher filter coefficients make little contribution to the sound image, and accordingly the higher filter coefficients, e.g. from the seventh, not encoded or transmitted at all. On the synthesis side, they are then interpreted as zero.
- This parameter encoding is performed in voiced and unvoiced case largely g e-based or even completely the same in a variant.
- the parameters of the first and third sections are each fully coded, those of the middle section in the form of their difference from that of the first section.
- the volume parameter of the middle speech section can also be assumed to be the same as that of the first section and therefore does not need to be coded or transmitted at all.
- the synthesis-side decoder then automatically generates this parameter from the parameter of the first speech section.
- the pitch parameter is coded the same for voiced and unvoiced blocks, just like that of the filter coefficients in the voiced case, i.e. full for the first language section (e.g. 7 bit) and differential for the other two sections.
- the differences are preferably represented with 3 bits.
- a change is indicated by a special code word, in that the difference to the pitch parameter of the first speech section, which in any case exceeds the representable difference range, is replaced by this code word.
- the code word of course has the same format as the pitch parameter differences.
- the running pitch parameter is a running average of the pitch parameters of a number, e.g. 2 to 7 previous language sections used.
- the decoded pitch parameter is preferably synthesized on the synthesis side with a running average of the pitch parameters of a number, e.g. 2 to 7 previous language sections compared and replaced by the running average when a predetermined maximum deviation, for example about ⁇ 30% to ⁇ 60% is exceeded.
- a predetermined maximum deviation for example about ⁇ 30% to ⁇ 60% is exceeded.
- the “outlier” does not go into further averaging.
- the coding is basically the same as for the blocks with three sections. All parameters of the first section are encoded in their entirety.
- the filter parameters of the second speech section are either coded in differential form in voiced blocks or assumed to be the same as in the first section and accordingly not coded at all.
- the filter coefficients of the second speech section are also encoded in their entirety, but the higher coefficients are omitted.
- the pitch parameter of the second speech section is coded the same again in the voiced and in the unvoiced case, namely in the form of its difference to the pitch parameter of the first section.
- a code word is used again.
- the volume parameter of the second speech section is coded in the same way as in the case of blocks with three sections, that is to say in differential form or not at all.
- the coding and decoding is preferably carried out by software using the computer system which is already available for the remaining speech processing.
- the creation of a suitable program is within the skill of the average professional.
- the coding rules A 1 , A 2 and A 3 and B 1 , B 2 and B 3 contained in FIG. 3 are shown in more detail in FIG. 4 and each indicate the format (bit assignments) of the parameters to be coded.
- the programs for decoding are of course analog.
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- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Computational Linguistics (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Human Computer Interaction (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Compression, Expansion, Code Conversion, And Decoders (AREA)
- Transmission Systems Not Characterized By The Medium Used For Transmission (AREA)
- Exchange Systems With Centralized Control (AREA)
Claims (13)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
AT82810391T ATE15415T1 (de) | 1981-09-24 | 1982-09-20 | Verfahren und vorrichtung zur redundanzvermindernden digitalen sprachverarbeitung. |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CH616881 | 1981-09-24 | ||
CH6168/81 | 1981-09-24 |
Publications (2)
Publication Number | Publication Date |
---|---|
EP0076234A1 EP0076234A1 (fr) | 1983-04-06 |
EP0076234B1 true EP0076234B1 (fr) | 1985-09-04 |
Family
ID=4305342
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
EP82810391A Expired EP0076234B1 (fr) | 1981-09-24 | 1982-09-20 | Procédé et dispositif pour traitement digital de la parole réduisant la redondance |
Country Status (6)
Country | Link |
---|---|
US (1) | US4618982A (fr) |
EP (1) | EP0076234B1 (fr) |
JP (1) | JPS5870300A (fr) |
AT (1) | ATE15415T1 (fr) |
CA (1) | CA1184656A (fr) |
DE (1) | DE3266042D1 (fr) |
Families Citing this family (30)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA1229681A (fr) * | 1984-03-06 | 1987-11-24 | Kazunori Ozawa | Methode et appareil de codage de signaux dans la bande de frequences vocales |
CA1255802A (fr) * | 1984-07-05 | 1989-06-13 | Kazunori Ozawa | Codage et decodage de signaux a faible debit binaire utilisant un nombre restreint d'impulsions d'excitation |
CA1252568A (fr) * | 1984-12-24 | 1989-04-11 | Kazunori Ozawa | Codeur et decodeur de signaux a faible debit binaire pouvant reduire la vitesse de transmission de l'information |
US4912764A (en) * | 1985-08-28 | 1990-03-27 | American Telephone And Telegraph Company, At&T Bell Laboratories | Digital speech coder with different excitation types |
US4890328A (en) * | 1985-08-28 | 1989-12-26 | American Telephone And Telegraph Company | Voice synthesis utilizing multi-level filter excitation |
EP0245531A1 (fr) * | 1986-05-14 | 1987-11-19 | Deutsche ITT Industries GmbH | Application d'une mémoire morte semi-conductrice |
EP0360265B1 (fr) * | 1988-09-21 | 1994-01-26 | Nec Corporation | Système de transmission capable de modifier la qualité de la parole par classement des signaux de paroles |
US4972474A (en) * | 1989-05-01 | 1990-11-20 | Cylink Corporation | Integer encryptor |
JPH03136100A (ja) * | 1989-10-20 | 1991-06-10 | Canon Inc | 音声処理方法及び装置 |
US6006174A (en) | 1990-10-03 | 1999-12-21 | Interdigital Technology Coporation | Multiple impulse excitation speech encoder and decoder |
JP2810252B2 (ja) * | 1991-05-22 | 1998-10-15 | シャープ株式会社 | 音声再生装置 |
US5317567A (en) * | 1991-09-12 | 1994-05-31 | The United States Of America As Represented By The Secretary Of The Air Force | Multi-speaker conferencing over narrowband channels |
US5272698A (en) * | 1991-09-12 | 1993-12-21 | The United States Of America As Represented By The Secretary Of The Air Force | Multi-speaker conferencing over narrowband channels |
FI95086C (fi) * | 1992-11-26 | 1995-12-11 | Nokia Mobile Phones Ltd | Menetelmä puhesignaalin tehokkaaksi koodaamiseksi |
US5517511A (en) * | 1992-11-30 | 1996-05-14 | Digital Voice Systems, Inc. | Digital transmission of acoustic signals over a noisy communication channel |
FI96248C (fi) * | 1993-05-06 | 1996-05-27 | Nokia Mobile Phones Ltd | Menetelmä pitkän aikavälin synteesisuodattimen toteuttamiseksi sekä synteesisuodatin puhekoodereihin |
US5457685A (en) * | 1993-11-05 | 1995-10-10 | The United States Of America As Represented By The Secretary Of The Air Force | Multi-speaker conferencing over narrowband channels |
PL174216B1 (pl) * | 1993-11-30 | 1998-06-30 | At And T Corp | Sposób redukcji w czasie rzeczywistym szumu transmisji mowy |
US5715365A (en) * | 1994-04-04 | 1998-02-03 | Digital Voice Systems, Inc. | Estimation of excitation parameters |
AU696092B2 (en) * | 1995-01-12 | 1998-09-03 | Digital Voice Systems, Inc. | Estimation of excitation parameters |
US5754974A (en) * | 1995-02-22 | 1998-05-19 | Digital Voice Systems, Inc | Spectral magnitude representation for multi-band excitation speech coders |
US5701390A (en) * | 1995-02-22 | 1997-12-23 | Digital Voice Systems, Inc. | Synthesis of MBE-based coded speech using regenerated phase information |
US6240384B1 (en) * | 1995-12-04 | 2001-05-29 | Kabushiki Kaisha Toshiba | Speech synthesis method |
SE506034C2 (sv) * | 1996-02-01 | 1997-11-03 | Ericsson Telefon Ab L M | Förfarande och anordning för förbättring av parametrar representerande brusigt tal |
US6131084A (en) * | 1997-03-14 | 2000-10-10 | Digital Voice Systems, Inc. | Dual subframe quantization of spectral magnitudes |
US6161089A (en) * | 1997-03-14 | 2000-12-12 | Digital Voice Systems, Inc. | Multi-subframe quantization of spectral parameters |
US6199037B1 (en) | 1997-12-04 | 2001-03-06 | Digital Voice Systems, Inc. | Joint quantization of speech subframe voicing metrics and fundamental frequencies |
US6377916B1 (en) | 1999-11-29 | 2002-04-23 | Digital Voice Systems, Inc. | Multiband harmonic transform coder |
US7080009B2 (en) * | 2000-05-01 | 2006-07-18 | Motorola, Inc. | Method and apparatus for reducing rate determination errors and their artifacts |
DE102004001293A1 (de) * | 2004-01-07 | 2005-08-11 | Deutsche Thomson-Brandt Gmbh | Vorrichtung und Verfahren zur Datenübertragung mit reduzierter Datenmenge |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US3017456A (en) * | 1958-03-24 | 1962-01-16 | Technicolor Corp | Bandwidth reduction system for television signals |
DE1162398B (de) * | 1961-10-24 | 1964-02-06 | Ibm | Verdichter fuer Daten, die aus Bits verschiedener Wertigkeit bestehen |
US3236947A (en) * | 1961-12-21 | 1966-02-22 | Ibm | Word code generator |
US3439753A (en) * | 1966-04-19 | 1969-04-22 | Bell Telephone Labor Inc | Reduced bandwidth pulse modulation scheme using dual mode encoding in selected sub-block sampling periods |
US4053712A (en) * | 1976-08-24 | 1977-10-11 | The United States Of America As Represented By The Secretary Of The Army | Adaptive digital coder and decoder |
CA1123955A (fr) * | 1978-03-30 | 1982-05-18 | Tetsu Taguchi | Appareil d'analyse et de synthese de la parole |
US4335277A (en) * | 1979-05-07 | 1982-06-15 | Texas Instruments Incorporated | Control interface system for use with a memory device executing variable length instructions |
-
1982
- 1982-09-20 EP EP82810391A patent/EP0076234B1/fr not_active Expired
- 1982-09-20 AT AT82810391T patent/ATE15415T1/de not_active IP Right Cessation
- 1982-09-20 DE DE8282810391T patent/DE3266042D1/de not_active Expired
- 1982-09-22 CA CA000411913A patent/CA1184656A/fr not_active Expired
- 1982-09-23 US US06/421,884 patent/US4618982A/en not_active Expired - Fee Related
- 1982-09-24 JP JP57165154A patent/JPS5870300A/ja active Pending
Non-Patent Citations (1)
Title |
---|
IEEE TRANSACTIONS ON COMMUNICATIONS, Band COM-23, Nr. 12, Dezember 1975, Seiten 1466-1474, New York, USA, C.K. UN et al.: "The residual-excited linear prediction vocoder with transmission rate below 9.6 kbits/s" * |
Also Published As
Publication number | Publication date |
---|---|
DE3266042D1 (en) | 1985-10-10 |
EP0076234A1 (fr) | 1983-04-06 |
US4618982A (en) | 1986-10-21 |
CA1184656A (fr) | 1985-03-26 |
JPS5870300A (ja) | 1983-04-26 |
ATE15415T1 (de) | 1985-09-15 |
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