EP0012767B1 - Speech analyser - Google Patents
Speech analyser Download PDFInfo
- Publication number
- EP0012767B1 EP0012767B1 EP19790900422 EP79900422A EP0012767B1 EP 0012767 B1 EP0012767 B1 EP 0012767B1 EP 19790900422 EP19790900422 EP 19790900422 EP 79900422 A EP79900422 A EP 79900422A EP 0012767 B1 EP0012767 B1 EP 0012767B1
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- Prior art keywords
- speech
- output
- demodulated signal
- frequency
- analyser
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- 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.)
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- 230000002996 emotional effect Effects 0.000 claims abstract description 19
- 230000008859 change Effects 0.000 claims description 12
- 230000007704 transition Effects 0.000 claims description 2
- 238000001514 detection method Methods 0.000 claims 1
- 238000000034 method Methods 0.000 description 10
- 238000004458 analytical method Methods 0.000 description 9
- 230000001755 vocal effect Effects 0.000 description 4
- 230000006870 function Effects 0.000 description 3
- 210000003205 muscle Anatomy 0.000 description 3
- 230000000007 visual effect Effects 0.000 description 3
- 210000001260 vocal cord Anatomy 0.000 description 3
- 208000019901 Anxiety disease Diseases 0.000 description 2
- 206010049816 Muscle tightness Diseases 0.000 description 2
- 208000003443 Unconsciousness Diseases 0.000 description 2
- 230000036506 anxiety Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000003542 behavioural effect Effects 0.000 description 1
- 230000008901 benefit Effects 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000013213 extrapolation Methods 0.000 description 1
- 210000001097 facial muscle Anatomy 0.000 description 1
- 230000010354 integration Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 239000012528 membrane Substances 0.000 description 1
- 230000006996 mental state Effects 0.000 description 1
- 239000000203 mixture Substances 0.000 description 1
- 230000004118 muscle contraction Effects 0.000 description 1
- 230000036640 muscle relaxation Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 230000000638 stimulation Effects 0.000 description 1
- 230000001052 transient 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
- G10L25/00—Speech or voice analysis techniques not restricted to a single one of groups G10L15/00 - G10L21/00
- G10L25/90—Pitch determination of speech signals
Definitions
- This invention is related to an apparatus for analysing an individual's speech and more particularly, to an apparatus for analysing pitch perturbations to determine the individual emotional state such as stress, depression, anxiety, fear, happiness, etc., which can be indicative of subjective attitudes, character, mental state, physical state, gross behavioral patterns, veracity, etc.
- the apparatus has commercial applications as a criminal investigative tool, a medical and/or psychiatric diagnostic aid, a public opinion polling aid, etc.
- each voice sample must be calibrated or normalized against each individual for reliable results. Analysis is also limited to the occurrence of stress, and other characteristics of an individual's emotional state cannot be detected.
- a technique for voice analysis is disclosed in Coulter U.S. Patent No. 3,268,661 which determines the frequency loci of voice consonants by extrapolating the slope of the consonant sound to its initial extrapolation.
- the apparatus disclosed in the Coulter patent comprises a microphone whose output is fed in parallel to a formant analyser and a - voice/unvoice silence detector. The detector serves simply to detect whether a voice signal i.e. one having a particular pitch frequency is present from the microphone.
- a voice signal i.e. one having a particular pitch frequency is present from the microphone.
- the Coulter patent makes use of the record formant.
- the present invention is directed to an apparatus for analysing a person's speech to determine their emotional state.
- the analyser operates on the real time frequency or pitch components within the first formant band of human speech.
- the apparatus analyses certain value occurrence patterns in terms of differential first formant pitch, rate of change of pitch, duration and time distribution patterns. These factors relate in a complex but very fundamental way to both transient and long term emotional states.
- Human speech is initiated by two basic sound generating mechanisms.
- the vocal cords thin stretched membranes under muscle control, oscillate when expelled air from the lugs passes through them. They produce a characteristic "buzz" sound at a fundamental frequency between 80 Hz and 240 Hz. This frequency is varied over a moderate range by both conscious and unconscious muscle contraction and relaxation.
- the wave form of the fundamental "buzz” contains many harmonics, some of which excite resonance in various fixed and variable cavities associated with the vocal tract.
- the second basic sound generated during speech is a pseudo-random noise having a fairly broad and uniform frequency distribution. It is caused by turbulence as expelled air moves through the vocal tract and is called a "hiss" sound. It is modulated, for the most part, by tongue movements and also excites the fixed and variable cavities. It is this complex mixture of "buzz” and "hiss” sounds, shaped and articulated by the resonant cavities, which produces speech.
- formants In an energy distribution analysis of speech sounds, it will be found that the energy falls into distinct frequency bands called formants. There are three significant formants.
- the system described here utilizes the first formant band which extends from the fundamental "buzz" frequency to approximately 1000 Hz. This band has not only the highest energy content but reflects a high degree of frequency modulation as a function of various vocal tract and facial muscle tension variations.
- the present invention analyses an FM demodulated first formant speech signal and produces an output indicative of nulls thereof.
- the frequency or number of nulls or "flat" spots in the FM demodulated signal, the length of the nulls and the ratio of the total time that nulls exist during a word period to the overall time of the word period are all indicative of the emotional state of the individual.
- the user By looking at the output of the device, the user can seen or feel the occurrence of the nulls and thus can determine by observing the output the number or frequency of nulls, the length of the nulls and the ratio of the total time nulls exist during a word period to the length of the word period, the emotional state of the individual.
- a speech analyser for determining the emotional state of a person, the speech analyser having FM demodulator means for detecting the first formant of a person's speech and producing an FM demodulated signal therefrom, the speech analyser characterized by
- the user of the device thus monitors the nulls and can thereby determine the emotional state of the individual whose speech is being analysed.
- An advantage of the speech analyser is that it can be made small and portable.
- Figs. 1 and 2A-2K speech, for the purposes of convenience, is introduced into the speech analyser by means of a built-in microphone 2.
- the low level signal from the microphone 2 shown in Fig. 2A is amplified by the preamplifier 4 which also removes the low frequency components of the signal by means of a high pass filter section.
- the amplified speech signal is then passed through the low pass filter 6 which removes the high frequency components above the first formant band.
- the resultant signal, illustrated in Fig. 2B represents the frequency components to be found in the first formant band of speech, the first formant band being 250 Hz-800 Hz.
- the signal from low pass filter 6 is then passed through the zero axis limiter circuit 8 which removes all amplitude variations and produces a uniform square wave output illustrated in Fig. 2C which contains only the period or instantaneous frequency component of the first formant speech signal.
- This signal is then applied to the pulse generator circuit 10 which produces an output pulse of constant amplitude and width, hence constant energy, upon each positive going transition of the input signal.
- the output of pulse generator circuit 10 is illustrated in Fig. 2D.
- the pulse signal in Fig. 2D is integrated by the low pass filter circuit 12 whose output is shown in Figs. 2E1 and 2E2.
- the D.C. level or amplitude of the output of the filter as shown in Fig. 2E thus represents the instantaneous frequency of the first formant speech signal.
- the output of the low pass filter 12 will thus vary as a function of the frequency modulation of the first formant speech signal by various vocal cord and other vocal tract muscle systems.
- the overall combination of the zero axis limiter 8, the pulse generator 10, and the low pass filter 12 comprise a conventional FM demodulator designed to operate over the first formant speech frequency band.
- the FM democulated output signal from the low pass filter 12 is applied to word detector circuit 14 which is a voltage comparator with a reference voltage set to a level representative of a first formant frequency of 250 Hz.
- word detector circuit 14 which is a voltage comparator with a reference voltage set to a level representative of a first formant frequency of 250 Hz.
- the FM demodulated output signal from the pass filter 12 is also applied to differentiator circuit 16 which produces an output signal proportional to the instantaneous rate of change of frequency of the first formant speech signal.
- the output of differentiator 16, which is shown in Fig. 2G, corresponds to the degree of frequency modulation of the first formant spooch signal.
- the signal from differentiator 16 is applied to a full wave rectifier circuit 18. This circuit passes the positive portion of the signal unchanged. The negative portion is inverted and added to the positive portion.
- the composite signal is then applied to pulse stretching circuit 19 which comprises a parallel circuit of a resistor and capacitor in series with a diode.
- the pulse stretching circuit 19 provides a fast rise, slow delay function which eliminates false null information as the differentiated signal passes through zero.
- the output of pulse stretching circuit 19 is illustrated in Fig. 2H.
- the output signal of the pulse stretching circuit 19 is applied to an output circuit 17 including a comparator circuit 20 and a display 21.
- Comparator circuit 20 comprises a three level voltage comparator gated ON or OFF by the ouput of word detector circuit 14.
- the comparator circuit 20 evaluates, in terms of amplitude level, the output of the pulse stretching circuit 19.
- Reference levels of the comparator circuit 20 are set so that when normal levels of frequency modulation are present in the first formant speech signal an output as shown in Fig. 21 is produced and a display 21 having an appropriate visual indicator, such as a green LED 22 is turned ON.
- an output such as shown in Fig. 2J is produced and the comparator circuit 20 turns on the yellow LED 24.
- an output such as shown in Fig. 2K is produced and the comparator circuit turns on the red LED 26.
- comparator circuit 20 can have an output coupled to a tactile device 28 for producing a tactile output so that the user can place the device close to his body and sense the occurrence of nulls through a physical stimulation to his body rather than through a visual display.
- the user can maintain eye contact with the individual whose speech is being analysed which could in turn reduce the anxiety of the individual whose speed is being analysed, which is caused by the user constantly looking to the speech analyser.
- the word detector 14 and the pulse stretching circuit 19 are connected to a voltage meter circuit 30 which is substituted for the comparator circuit 20.
- the meter circuit 30 is turned on when word detector 14 in ON and meter 32 provides an indication of the voltage output of pulse stretching circuit 19.
- the pitch or frequency null perturbations contained within the first formant speech signal define, by their pattern of occurrence, certain emotional states of the individual whose speech is being analysed, a visual integration and interpretation of the displayed output provides adequate information to the user of the imm for môkino certain decisions WiIn regard to the emotional state, in real time, of the person speaking.
- the speech analyser of the present invention can be constructed using integrated circuits and therefore can be constructed in a very small size which allows it to be portable and capable of being carried in one's pocket, for example.
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- Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Signal Processing (AREA)
- Health & Medical Sciences (AREA)
- Audiology, Speech & Language Pathology (AREA)
- Human Computer Interaction (AREA)
- Physics & Mathematics (AREA)
- Acoustics & Sound (AREA)
- Multimedia (AREA)
- Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
- Measurement Of Mechanical Vibrations Or Ultrasonic Waves (AREA)
- Measuring Pulse, Heart Rate, Blood Pressure Or Blood Flow (AREA)
Abstract
Description
- This invention is related to an apparatus for analysing an individual's speech and more particularly, to an apparatus for analysing pitch perturbations to determine the individual emotional state such as stress, depression, anxiety, fear, happiness, etc., which can be indicative of subjective attitudes, character, mental state, physical state, gross behavioral patterns, veracity, etc. In this regard, the apparatus has commercial applications as a criminal investigative tool, a medical and/or psychiatric diagnostic aid, a public opinion polling aid, etc.
- One type of technique for speech analysis to determine emotional stress is disclosed in Bell, Jr., et al., U.S. Patent 3,971,034. In the technique disclosed in this patent a speech signal is processed to produce an FM demodulated speech signal. This FM demodulated signal is recorded on a chart recorder and then is manually analysed by an operator. This technique has several disadvantages. First, the output is not a real time analysis of the speech signal. Another disadvantage is that the operator must be very highly trained in order to perform a manual analysis of the FM demodulated speech signal and the analysis is a very time consuming endeavor. Still another disadvantage of the technique disclosed in Bell, Jr., et al. is that it operates on the fundamental frequencies of the vocal cords and, in the Bell, Jr., et al. technique tedious re-recording and special time expansion of the voice signal are required. In practise, all these factors result in an unnecessarily low sensitivity to the parameter of interest, specifically stress.
- Another technique for voice analysing to determine emotional states is disclosed in Fuller, U.S. Patents 3,855,416, 3,855,417 and 3,855,418. The technique disclosed in the Fuller patents analyses amplitude characteristics of a speech signal and operates on distortion products of the fundamental frequency commonly called vibrato and on proportional relationships between various harmonic overtone or higher order formant frequencies.
- Although this technique appears to operate in real time, in practise, each voice sample must be calibrated or normalized against each individual for reliable results. Analysis is also limited to the occurrence of stress, and other characteristics of an individual's emotional state cannot be detected.
- A technique for voice analysis is disclosed in Coulter U.S. Patent No. 3,268,661 which determines the frequency loci of voice consonants by extrapolating the slope of the consonant sound to its initial extrapolation. The apparatus disclosed in the Coulter patent comprises a microphone whose output is fed in parallel to a formant analyser and a - voice/unvoice silence detector. The detector serves simply to detect whether a voice signal i.e. one having a particular pitch frequency is present from the microphone. There is no disclosure in the Coulter patent that indicates that it would be used for determining the emotional state of a person. Further, the Coulter patent makes use of the record formant.
- The present invention is directed to an apparatus for analysing a person's speech to determine their emotional state. The analyser operates on the real time frequency or pitch components within the first formant band of human speech. In analysing the speech, the apparatus analyses certain value occurrence patterns in terms of differential first formant pitch, rate of change of pitch, duration and time distribution patterns. These factors relate in a complex but very fundamental way to both transient and long term emotional states.
- Human speech is initiated by two basic sound generating mechanisms. The vocal cords; thin stretched membranes under muscle control, oscillate when expelled air from the lugs passes through them. They produce a characteristic "buzz" sound at a fundamental frequency between 80 Hz and 240 Hz. This frequency is varied over a moderate range by both conscious and unconscious muscle contraction and relaxation. The wave form of the fundamental "buzz" contains many harmonics, some of which excite resonance in various fixed and variable cavities associated with the vocal tract. The second basic sound generated during speech is a pseudo-random noise having a fairly broad and uniform frequency distribution. It is caused by turbulence as expelled air moves through the vocal tract and is called a "hiss" sound. It is modulated, for the most part, by tongue movements and also excites the fixed and variable cavities. It is this complex mixture of "buzz" and "hiss" sounds, shaped and articulated by the resonant cavities, which produces speech.
- In an energy distribution analysis of speech sounds, it will be found that the energy falls into distinct frequency bands called formants. There are three significant formants. The system described here utilizes the first formant band which extends from the fundamental "buzz" frequency to approximately 1000 Hz. This band has not only the highest energy content but reflects a high degree of frequency modulation as a function of various vocal tract and facial muscle tension variations.
- In effect, by analysing certain first formant frequency distribution patterns, a qualitative measure of speech-related muscle tension variations and interactions is performed. Since these muscles are predominantly biased and articulated through secondary unconscious processes which are in turn influenced by emotional state, a relative measure of emotional activity can be determined independent of a person's awareness or lack of awareness of that state. Research also bears out a general supposition that since the mechanisms of speech are exceedingly complex and largely autonomous, very few people are able to consciously "project" a fictitious emotional state. In fact, an attempt to do so usually generates its own unique psychological stress "fingerprint" in the voice pattern.
- Because of the characteristics of the first formant speech sounds, the present invention analyses an FM demodulated first formant speech signal and produces an output indicative of nulls thereof.
- The frequency or number of nulls or "flat" spots in the FM demodulated signal, the length of the nulls and the ratio of the total time that nulls exist during a word period to the overall time of the word period are all indicative of the emotional state of the individual. By looking at the output of the device, the user can seen or feel the occurrence of the nulls and thus can determine by observing the output the number or frequency of nulls, the length of the nulls and the ratio of the total time nulls exist during a word period to the length of the word period, the emotional state of the individual.
- In the present invention, there is provided a speech analyser for determining the emotional state of a person, the speech analyser having FM demodulator means for detecting the first formant of a person's speech and producing an FM demodulated signal therefrom, the speech analyser characterized by
- (a) word detector means for detecting the presence of an FM demodulated signal;
- (b) null detector means for detecting the absence of a change in frequency of the speech utilized to produce the FM demodulated signal and for producing an output indicative thereof; and,
- (c) output means coupled to said word detector means and said null detector means, wherein said output means is enabled by said word detector means when said word detector means detects the presence of an FM demodulated signal and wherein said output means produces an output indicative of the presence or absence of a change in frequency of the person's speech utilized to produce the FM demodulated signal.
- The user of the device thus monitors the nulls and can thereby determine the emotional state of the individual whose speech is being analysed.
- An advantage of the speech analyser is that it can be made small and portable.
- In order that the present invention be more readily understood, an embodiment thereof will now be described by way of example with reference to the accompanying drawings, in which:-
- Figure 1 is a block diagram of the system of the present invention;
- Figures 2A-2K illustrate the electrical signals produced by the system shown in Figure 1;
- Figure 3 illustrates an alternative embodiment of the output of the present invention; and
- Figure 4 illustrates still another alternative embodiment of the output of the present invention.
- Referring to Figs. 1 and 2A-2K, speech, for the purposes of convenience, is introduced into the speech analyser by means of a built-in microphone 2. The low level signal from the microphone 2 shown in Fig. 2A is amplified by the preamplifier 4 which also removes the low frequency components of the signal by means of a high pass filter section. The amplified speech signal is then passed through the low pass filter 6 which removes the high frequency components above the first formant band. The resultant signal, illustrated in Fig. 2B represents the frequency components to be found in the first formant band of speech, the first formant band being 250 Hz-800 Hz. The signal from low pass filter 6 is then passed through the zero
axis limiter circuit 8 which removes all amplitude variations and produces a uniform square wave output illustrated in Fig. 2C which contains only the period or instantaneous frequency component of the first formant speech signal. This signal is then applied to thepulse generator circuit 10 which produces an output pulse of constant amplitude and width, hence constant energy, upon each positive going transition of the input signal. The output ofpulse generator circuit 10 is illustrated in Fig. 2D. The pulse signal in Fig. 2D is integrated by the lowpass filter circuit 12 whose output is shown in Figs. 2E1 and 2E2. The D.C. level or amplitude of the output of the filter as shown in Fig. 2E thus represents the instantaneous frequency of the first formant speech signal. The output of thelow pass filter 12 will thus vary as a function of the frequency modulation of the first formant speech signal by various vocal cord and other vocal tract muscle systems. The overall combination of the zeroaxis limiter 8, thepulse generator 10, and thelow pass filter 12 comprise a conventional FM demodulator designed to operate over the first formant speech frequency band. - The FM democulated output signal from the
low pass filter 12 is applied toword detector circuit 14 which is a voltage comparator with a reference voltage set to a level representative of a first formant frequency of 250 Hz. When this reference level is exceeded by the FM demodulated signal, the comparator output switches from OFF to ON as illustrated in Fig. 2F. - The FM demodulated output signal from the
pass filter 12 is also applied to differentiator circuit 16 which produces an output signal proportional to the instantaneous rate of change of frequency of the first formant speech signal. The output of differentiator 16, which is shown in Fig. 2G, corresponds to the degree of frequency modulation of the first formant spooch signal. - The signal from differentiator 16 is applied to a full
wave rectifier circuit 18. This circuit passes the positive portion of the signal unchanged. The negative portion is inverted and added to the positive portion. The composite signal is then applied topulse stretching circuit 19 which comprises a parallel circuit of a resistor and capacitor in series with a diode. Thepulse stretching circuit 19 provides a fast rise, slow delay function which eliminates false null information as the differentiated signal passes through zero. The output ofpulse stretching circuit 19 is illustrated in Fig. 2H. - The output signal of the
pulse stretching circuit 19 is applied to anoutput circuit 17 including acomparator circuit 20 and adisplay 21.Comparator circuit 20 comprises a three level voltage comparator gated ON or OFF by the ouput ofword detector circuit 14. Thus, when speech is present, thecomparator circuit 20 evaluates, in terms of amplitude level, the output of thepulse stretching circuit 19. Reference levels of thecomparator circuit 20 are set so that when normal levels of frequency modulation are present in the first formant speech signal an output as shown in Fig. 21 is produced and adisplay 21 having an appropriate visual indicator, such as agreen LED 22 is turned ON. When there is only a small amount of frequency modulation present, such as under mild stress conditions, an output such as shown in Fig. 2J is produced and thecomparator circuit 20 turns on theyellow LED 24. When there is a full null, such as produced by more intense stress conditions, an output such as shown in Fig. 2K is produced and the comparator circuit turns on thered LED 26. - Referring to Fig. 3,
comparator circuit 20 can have an output coupled to atactile device 28 for producing a tactile output so that the user can place the device close to his body and sense the occurrence of nulls through a physical stimulation to his body rather than through a visual display. In this embodiment the user can maintain eye contact with the individual whose speech is being analysed which could in turn reduce the anxiety of the individual whose speed is being analysed, which is caused by the user constantly looking to the speech analyser. - In the embodiment shown in Fig. 4 the
word detector 14 and thepulse stretching circuit 19 are connected to avoltage meter circuit 30 which is substituted for thecomparator circuit 20. Themeter circuit 30 is turned on whenword detector 14 in ON andmeter 32 provides an indication of the voltage output ofpulse stretching circuit 19. - Since the pitch or frequency null perturbations contained within the first formant speech signal define, by their pattern of occurrence, certain emotional states of the individual whose speech is being analysed, a visual integration and interpretation of the displayed output provides adequate information to the user of the imm for môkino certain decisions WiIn regard to the emotional state, in real time, of the person speaking.
- The speech analyser of the present invention can be constructed using integrated circuits and therefore can be constructed in a very small size which allows it to be portable and capable of being carried in one's pocket, for example.
Claims (9)
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US05/895,375 US4142067A (en) | 1977-06-14 | 1978-04-11 | Speech analyzer for analyzing frequency perturbations in a speech pattern to determine the emotional state of a person |
| US895375 | 1978-04-11 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| EP0012767A1 EP0012767A1 (en) | 1980-07-09 |
| EP0012767B1 true EP0012767B1 (en) | 1983-07-27 |
Family
ID=25404422
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| EP19790900422 Expired EP0012767B1 (en) | 1978-04-11 | 1979-11-19 | Speech analyser |
Country Status (5)
| Country | Link |
|---|---|
| EP (1) | EP0012767B1 (en) |
| JP (1) | JPS55500275A (en) |
| DE (1) | DE2965975D1 (en) |
| DK (1) | DK525679A (en) |
| WO (1) | WO1979000913A1 (en) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US4543957A (en) * | 1983-06-13 | 1985-10-01 | Ernest H. Friedman | Human response apparatus and method |
| DE102010064357A1 (en) * | 2010-12-29 | 2012-07-05 | Sms Siemag Ag | Process for the pyrometallurgical treatment of metals, molten metals and / or slags |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US3971034A (en) * | 1971-02-09 | 1976-07-20 | Dektor Counterintelligence And Security, Inc. | Physiological response analysis method and apparatus |
| US3855417A (en) * | 1972-12-01 | 1974-12-17 | F Fuller | Method and apparatus for phonation analysis lending to valid truth/lie decisions by spectral energy region comparison |
-
1979
- 1979-02-26 DE DE7979900422T patent/DE2965975D1/en not_active Expired
- 1979-02-26 JP JP50066679A patent/JPS55500275A/ja active Pending
- 1979-02-26 WO PCT/US1979/000113 patent/WO1979000913A1/en not_active Ceased
- 1979-11-19 EP EP19790900422 patent/EP0012767B1/en not_active Expired
- 1979-12-11 DK DK525679A patent/DK525679A/en not_active Application Discontinuation
Also Published As
| Publication number | Publication date |
|---|---|
| JPS55500275A (en) | 1980-05-08 |
| DK525679A (en) | 1979-12-11 |
| EP0012767A1 (en) | 1980-07-09 |
| WO1979000913A1 (en) | 1979-11-15 |
| DE2965975D1 (en) | 1983-09-01 |
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