US3509281A - Voicing detection system - Google Patents

Voicing detection system Download PDF

Info

Publication number
US3509281A
US3509281A US582912A US58291266A US3509281A US 3509281 A US3509281 A US 3509281A US 582912 A US582912 A US 582912A US 58291266 A US58291266 A US 58291266A US 3509281 A US3509281 A US 3509281A
Authority
US
United States
Prior art keywords
speech
energy
rectified
voiced
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
Application number
US582912A
Inventor
John H King Jr
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
International Business Machines Corp
Original Assignee
International Business Machines Corp
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by International Business Machines Corp filed Critical International Business Machines Corp
Priority to US582912A priority Critical patent/US3509281A/en
Priority to FR8659A priority patent/FR1537253A/en
Priority to GB42164/67A priority patent/GB1139017A/en
Priority to DE19671572452 priority patent/DE1572452A1/en
Application granted granted Critical
Priority to FR7015370A priority patent/FR2045772A6/en
Publication of US3509281A publication Critical patent/US3509281A/en
Priority to DE19702025233 priority patent/DE2025233A1/en
Anticipated expiration legal-status Critical
Expired - Lifetime legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R23/00Arrangements for measuring frequencies; Arrangements for analysing frequency spectra
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L19/00Speech 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
    • G10L19/02Speech 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 spectral analysis, e.g. transform vocoders or subband vocoders
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
    • G10L25/00Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
    • G10L25/93Discriminating between voiced and unvoiced parts of speech signals

Definitions

  • the primary object of the present invention is thus directed to a voicing detection system which has a high degree of reliability and is less costly than voicing detection systems ofthe prior art.
  • total spectral energy detecting means responsive to said DC component voltages for providing a summation DC voltage output representing the total spectral energy in said voice spectrum

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Computational Linguistics (AREA)
  • Health & Medical Sciences (AREA)
  • Human Computer Interaction (AREA)
  • Acoustics & Sound (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • General Physics & Mathematics (AREA)
  • Compression, Expansion, Code Conversion, And Decoders (AREA)
  • Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
  • Monitoring And Testing Of Exchanges (AREA)
  • Monitoring And Testing Of Transmission In General (AREA)

Abstract

1,139,017. Speech recognition. INTERNATIONAL BUSINESS MACHINES CORP. 15 Sept., 1967 [29 Sept., 1966], No. 42164/67. Heading G4R. [Also in Division H4] In a speech analysis system, a signal representative of the harmonic energy of a speech signal is obtained from the sum of rectified signals each representing a respective harmonic content of the speech signal. Speech is split by filters at 3 having passbands of width 300 hz and centre frequencies as shown, the filter outputs being rectified at 4, passed through low-pass filters (15 hz) at 25 and summed at 29 to give the total spectral energy at 32. The outputs of filters 4 are also passed to 9 where they are summed, band-pass filtered (70 hz to 150 hz viz fundamental) at 13, fullwave rectified at 14 and low-pass filtered (15 hz) at 15, to give the harmonic energy at 16 (voiced sound). The energy signals at 32, 16 are compared at 17 to produce a voiced/unvoiced binary indication at 20d, the gains of the summing amplifiers 10, 30 being appropriately chosen for this purpose.

Description

United States Patent Office 3,509,281 Patented Apr. 28, 1970 3,509,281 VOICING DETECTION SYSTEM John H. King, Jr., Endwell, N.Y., assignor to International Business Machines Corporation, Armonk, N.Y.,
a corporation of New York Filed Sept. 29, 1966, Ser. No. 582,912 Int. Cl. G10l1/00 U.S. Cl. 179-1 5 Claims ABSTRACT OF THE DISCLOSURE The relative magnitude of voiced sounds in a speech spectrum is determined by comparing a quasi DC signal representing the voiced sounds against a DC summation signal representing the total spectral energy in the sound spectrum.
The DC summation signal is generated by passing the sound waveforms through a filter bank having a band pass width ranging between 30D-3,000 Hz. The outputs of the latter are rectified and these rectified outputs are fed through a low pass filter designed to pass signals between and 15 Hz. The rectified outputs representing total sound energy are finally summed by a DC amplifier to provide the DC summation signal.
The quasi DC signal is developed by summing the same rectified outputs representing total sound energy, by means of an AC amplifier and passing the AC summed signal through a filter which is tuned to pass the voice fundamental frequency lying between 70-150 Hz., then rectifying the output of the voice fundamental and finally passing the rectified voice fundamental output through a low pass filter having a band pass width of 15 Hz. and below to provide the quasi DC signal.
The present invention relates to waveform analysis and more particularly to voicing detection predicated upon the periodicity of the power spectrum in a voiced speech sound spectrum. The prior art is replete with a variety of systems for synthesizing speech sounds, and analyzing speech sounds generated'by individual speakers, and more recently analyzing the speech waveforms of different speakers by means of a single system.
In the speech recognition art, speech characteristics have been derived by various systems to the exclusion of voicing energies. Only recently has it been considered to utilize the process of voicing energy in the determination of a speech characteristic as part of a total recognition system. One approach considered by the prior art in voicing detection utilizes a single filter having a band pass range covering only the low end of the voice spectrum for extracting the voice energy. Another approach utilizes a single broad band filter having a range covering the entire speech spectrum. Both of these approaches have been highly unreliable from the standpoint that in the former approach a greater portion of the harmonic content was undetected whereas in the latter approach rectification of the unfiltered waveform as a means for extracting the fundamental is highly unreliable due to the wide variations in the amplitudes of the various harmonics.
The present invention is directed to a voice detection system which employs a sound spectrum analyzer having a plurality of individual baud pass filters each having a minimum band pass width greater than the highest fundamental frequency ofthe voice spectrum, each filter passing a minimum of two harmonics. With this consideration in mind, the present invention employs a spectrum analyzer of 15 filters which is compatible with a fundamental range of 150 cycles. By virtue of the present invention, the periodic aspect of the power spectrum for all voiced sounds issues as a modulated waveform having an envelope with a periodicity equal to the voice fundamental. As a consequence, the periodic property of the power spectrum for all voiced sounds may be measured with a high degree of accuracy and reliability since the outputs corresponding to the voice sounds are highly correlated. On the other hand, random noise, background noises and speech sounds other than the voiced sounds provide highly complex waveforms which are highly uncorrelated.
The present invention is, accordingly, directed to overcome the disadvantage of high cost and the inability of the prior art systems to be accurately responsive to a variety of speech spectrums. The capability of the present invention is generally achieved by means of a system which obtains a measure of the total voice spectral energy and compares it with a measure of the degree of periodicity of the voice power spectrum to provide an output which is indicative of the presence of voicing energy.
The primary object of the present invention is thus directed to a voicing detection system which has a high degree of reliability and is less costly than voicing detection systems ofthe prior art.
Another object resides in the capabilities of the present invention to provide more meaningful data at lower costs than the prior art systems.
lYet another object resides in the provision of a highly sophisticated system which derives meaningful voicing data predicated upon detecting and measuring the degree ofperiodicity of the power spectrum of the speech waveform.
Still another object resides in the provision of a voicing detection system which has high discrimination for the periodicity property of the power spectrum of voiced speech sounds.
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular description of preferred embodiments of the invention, as illustrated in the accompanying drawings.
In the drawings:
FIG. 1 is a schematic showing the arrangement of the principal means forming the voicing detection system.
FIG. 2 is a detail drawing of the voicing detection system.
A general understanding of the present invention may now be had from FIG. 1 which shows a schematic arrangement of the principal means constituting the voicing detection system. In FIG. 1 speech sounds are entered into the system by way of a microphone 1 which translates sound energy into electrical energy which is amplified by means of an amplifier 1a and entered by way of line 2 into a spectrum analyzer 3 which is essentially a filter bank constituted of a plurality of individual filters whose output waveforms are passed by way of lines 3-1a, 3-2a to 3-15a (individual lines between 3-2a and 3-1Sa not shown) to individual rectifiers in a rectifier bank 4. The rectified outputs from the rectifier bank 4 are transmitted to a power measuring means 9 for the glottal vibrator by way of lines 5a, 5b through 5o. These same rectified outputs are also directed to a total spectral energy detecting and measuring means 29 by way of the lines 4-1a, 4-2a through 4-15a, a low pass filter bank 25 and lines 27a, 27b through 27o. By means of the power measuring means 9 the periodicity measure of a speech waveform power spectrum is reduced to substantially a DC signal level which is passed on by way of line 16 to a differential detector 17 for final comparison with a similar DC signal level on line 32 which is indicative of the total spectral energy. Detection of the total voice spectral energy is accomplished by means 29 which translates the energy to substantially a DC signal level that is also transmitted to the differential detector 17 (a. bistable device) by way of aline 32. The differential detector 17 provides an indication of the presence of voicing energy on output vline 20d. By appropriate means to be described, a low output signal level is manifested by the detector 17 when meaningful degree of periodicity of the speech spectrum is predominant, and a high signal level when the speech spectrum is essentially constituted of fricative and noise sounds with little or no meanngful degree of periodicity of the power spectrum. The meaningful periodicity of the power spectrum of voiced speech is the result of voiced energy present in the speech spectrum. This voiced energy is present during intervals of speech where excitation of the vocal tract is provided by the glottal vibrator. During these intervals the voiced sounds are predominantly rich in harmonics that are integer multiples of the fundamental frequency which for the male voice extends from about 70 cycles to 150 cycles per second in normal speech, the meaningful spectrum of which extends from 300 cycles to somewhat beyond 3,000 cycles.
To appreciate more fully the manner in which the voicing system detects the periodic structure of the speech waveform power spectrum as well as the total spectral energy in the speech spectrum, reference is invited to FIG. 2 which shows in detail the preferred embodiment. In FIG. 2, sound waves enter the system by way of the microphone 1 and are converted by means of the amplifier 1a into electrical waveform signals which enter the lter bank 3 by way of line 2. The filter bank 3 comprises fifteen individual filters, three of which are shown and referenced as 341, 3-2, and 3-15. The filters employed here are commonly known as a twin T-type, each having a band width of approximately 300 cycles and each is tuned to a desired band width Iand center frequency. The frequencies indicated in the filter bank 3 denote the center frequencies to which each of the 15 filters is tuned. For example, the topmost filter 3-1 has a center frequency of 300 cycles per second, and the lowermost filter 3-15 has a center frequency of 3,000 cycles per second. The filter bank 3, accordingly, provides a plurality of orthogonal signal channels controlled by the contiguously tuned filters each providing, during a voiced speech interval, a modulated waveform the envelope of which contains the fundamental voice frequency. Thus, modulation results from the combination of waveforms which constitute the harmonic components of the fundamental frequency. In Ithis particular embodiment a minimum of two harmonic components provide a modulated waveform. These' modulated output waveforms are passed through full wave rectifiers, or detectors, 4-1, 4-2 through 4415, by way of lines 3-1a, 3-2a through 3-15a. Rectified outputs from the rectifiers are transmitted by way of lines 4-1a, 4-2a through 4-15a through a low pass filter bank 25 containing fifteen individual low pass filters of which only three are shown, namely 26-1, 26-2 and 26-15. These low pass filters are designed to extract what may be considered a DC component level from the rectified outputs of the rectifiers. The low pass filters are tuned to accept frequencies below l5 cycles per second to extract the DC components, which components are transmitted to the total voice spectral energy detectingand measuring means 29 by way of resistive paths 27a, 27b through 27o which meet at a common juncture 28. The junction 28 is connected by way of a line 28a to one input 30a of a DC summing amplifier 30 having a second input 30b connected to ground. Output 30e and the input 30a are interconnected by way of a negative feedback path 31 containing a potentiometer 32. The summing amplifier together with the resistive input network constitutes a summing network which in response to incoming rectified waveforms of low frequency issue a DC component representing a measure of the total spectral energy of the speech sounds presented to the system. This total energy DC signal level is passed on to the differential detector 17 where it will be compared against another DC signal level representing the degree of periodicity of the power spectrum of the speech sounds entered into the system.
The detection of the periodic structure of the speech waveform power spectrum is achieved by the power measuring means 9 which is responsive to the rectified waveforms appearing on lines 4-1a, 4-2a through 4-15a. The latter are coupled by way of capacitors 6a, 6b through 6o to the resistive network constituted of resistive paths 7a, 7b through 7o terminating at junction 8 at which junction the rectified waveforms are presented to an input terminal 10b of an operational summing amplifier 10. A second input 10a of the amplifier 10 is connected to ground. An output 10c is interconnected with the input terminal 10b by way of a negative feedback path 11 containing potentiometer 12. The amplified output from the amplifier 10 appears on output line 12 connected to a band pass filter 13 having a band width of 70 cycles to 150 cycles corresponding to the frequency range of the voice fundamental frequency. The output appearing at 13a of the filter 13 reflects an amplified fundamental frequency which is rectified after passing through full wave rectifier 14. The rectified output appearing on line 14a is passed through a low pass filter 15, tuned to permit passage of frequencies of 15 cycles per second and below. The output from the latter reflects a quasi DC signal which is a measure of the degree of periodicity of the power spectrum of the speech sound. This quasi DC signal passes through line 16 connected by way of a resistor 18 to input terminal 20a of an amplifier 20 forming part of the differential detector 17. The input terminal 20a is further connected to ground by way of a path 23 containing a resistor 24. The amplifier 20 has its input and output terminals interconnected by meansof a positive feedback path 21 containing potentiometer 22.
The DC quasi signal and the summation DC signal voltages representing respectively the measures of total voiced energy and total spectral energy are weighted appropriately by adjusting the gains of the summing amplifiers 10 and 20 respectively so that for voiced speech sounds the DC level on line 16 exceeds the DC level on line 32 thus causing the differential detector 17 to switch to one of its stable states so that during unvoieed speech sounds or if no speech is occurring the DC level on line 16 will be less than the DC level on line 32, thus causing the differential detector 17 to switch to its other stable state. The indication of the presence or absence of voiced speech is given by the voltage level appearing at the output terminal 20d of the differential detector 17.
The fact that there exists a unique adjustment of the gains of amplifiers 20 and 30 such that the relative voltage levels on lines 16 and 32 will occur in opposite fashion according to whether voiced or unvoieed speech is present can be best demonstrated by the following:
The ratio of the signal output from filter 13, for an input signal to the filter bank 3 having a spectrum con sisting of a fundamental frequency of say Hz. and a series of integer harmonic frequencies all of equal amplitude to the output at filter 13 due to a random input signal having a -flat noise spectrum with a normal amplitude distribution and the same average power as the harmonic signal will be about 15A/1 5 according to the well-known way in which the correlated and uncorrelated components of a composite signal contribute to the amplitude of the composite signal which is a linear combination of the component parts. With actual speech signals the maximum discrimination between voiced and unvoieed speech sounds will occur for the open vowels such as e, ae, ai, z', etc. because these sounds have more harmonic energy in the high frequency portion of the spectrum than say the closed or semi-vowels such as w, v, u, j, r, etc. For any given total spectrum energy a purely fricative sound such as f, 0 or s will give the least output from filter 15 at 16 whereas certain voiced fricatives such as z and v will give intermediate levels of output on line 16. Thus, it is seen that the least reliable.
detection will occur for the voiced fricatives and the most reliable discrimination will occur for the open vowels.
For specific applications the invention may be limited to the means for measuring the power output of the glottal vibrator to provide an output representing the composite waveform fr om which the DC component may be extracted and stored as separate speech characteristics representing the specific voicing power present in a speech spectrum.
While the invention has been particularly shown and described vwith reference to preferred embodiments thereof, it will be understood by those skilled in the art that the foregoing and other changes in form and details may be made therein without departing from the spirit and scope of the invention.
What is claimed is:
1. A voicing detection system comprising a source of rectified waveforms representing sounds of a voice spectrum,
power measuring means comprising an operational summing amplifier, a voice fundamental filter, rectifying means and a low pass filter,
said operational amplifier responsive to said rectified waveforms for summing the present correlated voiced waveforms and providing a composite voltage output representing the sum of said voiced waveforms,
said filter responsive to said composite voltage for issuing a voice fundamental frequency signal, said rectifier responsive to said fundamental frequency signal for issuing a rectified voice fundamental signal, and
said low pass filter responsive to the rectified voice fundamental signal for providing a quasi DC signal voltage indicative of the degree of periodicity of said voiced waveforms in said voice spectrum.
2. A voicing detection system as in claim 1, further including a plurality of low pass filters responsive to said rectified waveforms for issuing DC component voltages,
total spectral energy detecting means responsive to said DC component voltages for providing a summation DC voltage output representing the total spectral energy in said voice spectrum, and
a differential detector responsive jointly to said quasi DC signal voltage and the total spectral energy summation DC signal voltage to provide an output indicative of the relative magnitude of said voiced waveforms.
3. A voicing detection system as in claim 2, in which said differential detector is a differential amplifier having positive feedback to provide an output indicative of the presence of voiced waveform signals regardless of the over-all speech sound intensity.
4. A voicing detection system as in claim 3, in which said voice fundamental filter is tuned to the voice fundamental frequency range of cycles per second to 150 cycles per second, and said low pass filter is tuned to accept frequencies at and below 15 cycles per second.
5. A voicing detection system as in claim 4, further including a filter bank constituted of a plurality of channels each responsive to a select band of sound frequencies in the voice spectrum ranging from approximately 300 cycles per second to 3,000 cycles per second, to provide waveform outputs, constituted of at least two harmonics for the voiced sounds, including means responsive to said waveform outputs for issuing said source of rectified waveforms representing voiced sounds of the Voice spectrum.
References Cited UNITED STATES PATENTS 2,151,091 3/1939 Dudley 179-15 3,129,287 4/1964 Bakis. 3,247,322 4/ 1966 Savage et al.
KATHLEEN H. CLAFFY, Primary Examiner C. JIRAUCH, Assistant Examiner
US582912A 1966-09-29 1966-09-29 Voicing detection system Expired - Lifetime US3509281A (en)

Priority Applications (6)

Application Number Priority Date Filing Date Title
US582912A US3509281A (en) 1966-09-29 1966-09-29 Voicing detection system
FR8659A FR1537253A (en) 1966-09-29 1967-08-17 Voice detection system
GB42164/67A GB1139017A (en) 1966-09-29 1967-09-15 Speech analysis system
DE19671572452 DE1572452A1 (en) 1966-09-29 1967-09-23 Arrangement for determining the voiced components of speech sounds
FR7015370A FR2045772A6 (en) 1966-09-29 1970-04-28 voice detection system
DE19702025233 DE2025233A1 (en) 1966-09-29 1970-05-23 Arrangement for determining the voiced components of speech sounds

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US582912A US3509281A (en) 1966-09-29 1966-09-29 Voicing detection system

Publications (1)

Publication Number Publication Date
US3509281A true US3509281A (en) 1970-04-28

Family

ID=24330949

Family Applications (1)

Application Number Title Priority Date Filing Date
US582912A Expired - Lifetime US3509281A (en) 1966-09-29 1966-09-29 Voicing detection system

Country Status (4)

Country Link
US (1) US3509281A (en)
DE (1) DE1572452A1 (en)
FR (1) FR1537253A (en)
GB (1) GB1139017A (en)

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3860759A (en) * 1970-09-23 1975-01-14 California Inst Of Techn Seismic system with data compression
US4866777A (en) * 1984-11-09 1989-09-12 Alcatel Usa Corporation Apparatus for extracting features from a speech signal
EP0548054A2 (en) * 1988-03-11 1993-06-23 BRITISH TELECOMMUNICATIONS public limited company Voice activity detector

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US2151091A (en) * 1935-10-30 1939-03-21 Bell Telephone Labor Inc Signal transmission
US3129287A (en) * 1961-03-20 1964-04-14 Ibm Specimen identification system
US3247322A (en) * 1962-12-27 1966-04-19 Allentown Res And Dev Company Apparatus for automatic spoken phoneme identification

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US2151091A (en) * 1935-10-30 1939-03-21 Bell Telephone Labor Inc Signal transmission
US3129287A (en) * 1961-03-20 1964-04-14 Ibm Specimen identification system
US3247322A (en) * 1962-12-27 1966-04-19 Allentown Res And Dev Company Apparatus for automatic spoken phoneme identification

Cited By (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US3860759A (en) * 1970-09-23 1975-01-14 California Inst Of Techn Seismic system with data compression
US4866777A (en) * 1984-11-09 1989-09-12 Alcatel Usa Corporation Apparatus for extracting features from a speech signal
EP0548054A2 (en) * 1988-03-11 1993-06-23 BRITISH TELECOMMUNICATIONS public limited company Voice activity detector
EP0548054A3 (en) * 1988-03-11 1994-01-12 British Telecomm

Also Published As

Publication number Publication date
FR1537253A (en) 1968-07-15
GB1139017A (en) 1969-01-08
DE1572452A1 (en) 1970-03-05

Similar Documents

Publication Publication Date Title
US4091237A (en) Bi-Phase harmonic histogram pitch extractor
US4039754A (en) Speech analyzer
CN103250209A (en) Hearing aid and method of improved audio reproduction
CA1156762A (en) Apparatus for the detection of voice signals
US6285979B1 (en) Phoneme analyzer
Muhammad Extended average magnitude difference function based pitch detection
US3509281A (en) Voicing detection system
US4506379A (en) Method and system for discriminating human voice signal
US4044204A (en) Device for separating the voiced and unvoiced portions of speech
US2857465A (en) Vocoder transmission system
US3600516A (en) Voicing detection and pitch extraction system
Smith A phoneme detector
US2627541A (en) Determination of pitch frequency of complex wave
GB978303A (en) Improvements in or relating to means for processing signals composed of components of different frequencies
GB1020527A (en) Improvements relating to sound analysing equipment
US3196212A (en) Local amplitude detector
Pencak et al. The NP speech activity detection algorithm
GB981153A (en) Improved phonetic typewriter system
Miller Performance characteristics of an experimental harmonic identification pitch extraction (HIPEX) system
US3507999A (en) Speech-noise discriminator
US3428748A (en) Vowel detector
Hansson-Sandsten et al. SVD-based classification of bird singing in different time-frequency domains using multitapers
US2237899A (en) Speech wave detecting circuit
US2691137A (en) Device for extracting the excitation function from speech signals
KR100198057B1 (en) Method and apparatus for extracting the property of speech signal