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Underwater Signal Discrimination System.
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In: DTIC AND NTIS (1980)
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| 62 |
Automated Intelligibility Measurement System.
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In: DTIC AND NTIS (1980)
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| 63 |
Acoustic Signals for Emergency Evacuation
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In: DTIC AND NTIS (1979)
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| 65 |
Stochastic Modeling as a Means of Automatic Speech Recognition
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In: DTIC AND NTIS (1975)
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| 66 |
Segmentation and Labeling of Speech: A Comparative Performance Evaluation
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In: DTIC AND NTIS (1975)
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| 67 |
Acoustic Alteration of Speech Processed Through Air Force Aircraft Communication Systems.
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In: DTIC AND NTIS (1974)
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| 69 |
The Role of Acoustic Processing in Speech Understanding Systems
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In: DTIC AND NTIS (1973)
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| 70 |
An Investigation of the Cross Correlation of Speech Signals
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In: DTIC AND NTIS (1970)
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| 71 |
Whale Phonations in Repetitive Stanzas.
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In: DTIC AND NTIS (1970)
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| 73 |
Acoustic Measurements for Speaker Recognition
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In: DTIC (1969)
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| 74 |
An Empirical Equation for the Determination of the Maximum Side-Aspect Target Strength of an Individual Fish
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In: DTIC AND NTIS (1969)
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| 75 |
ASPECTS OF SPEECH RECOGNITION BY COMPUTER.
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In: DTIC AND NTIS (1969)
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| 76 |
An Automatic Electronic Speech Teaching Responder.
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In: DTIC AND NTIS (1968)
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| 78 |
A STUDY OF CRITICAL-INSTANT SAMPLING OF SPEECH PARAMETERS FOR AUTOMATIC RECOGNITION OF SPOKEN WORDS.
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In: DTIC AND NTIS (1966)
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Abstract:
A study has been made to advance the development of a general and practical procedure for automatic recognition of spoken words. Two major problems were studied: variations in parameter values of speech due to variations in speech characteristics of different talkers, and due to variations in the duration of spoken words. Included in this study was an analysis of the means and standard deviations of formant frequencies made for a group of twenth talkers, each saying a list of 30 words two times. A range of standard deviations of from 5 percent of the mean formant frequency to 50 percent was observed. For the first time, statistical information has been obtained on the spectra of fricative sounds. One of the serious problems inherent in most techniques of automatic recognition of speech is that of time normalization, since words or parts of words normally are spoken with different durations. A new technique has been investigated which avoids many of the problems of time normalization. Word patterns which are independent of word duration were generated using critical-instant sampling of the speech data. Recognition tests using these patterns were made to evaluate the relative significance of different critical instants. The results obtained indicate that critical-instant sampling provides effective and efficient patterns on which a general spoken-word recognition procedure may be based. (Author)
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Keyword:
(*SPEECH RECOGNITION; *STATISTICAL ANALYSIS); ACOUSTIC SIGNALS; AUTOMATIC; COMPUTERS; DECISION MAKING; LEARNING; PATTERN RECOGNITION; SOUND PITCH; Voice Communications
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URL: http://www.dtic.mil/docs/citations/AD0638380
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=AD0638380
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| 79 |
PHYSICAL AND PERCEPTUAL IDENTIFICATIONS OF CZECH VOWELS.
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In: DTIC AND NTIS (1966)
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| 80 |
ON COGNITION OF SPEECH SOUNDS WITH THE AID OF SELF-ORGANIZING SYSTEMS WITH TWO POSITIVE FEEDBACKS.
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In: DTIC AND NTIS (1966)
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