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Hits 1 – 4 of 4
1
Development of a Spoken Language System
Austin, S.
;
Ayuso, D.
;
Barry, C.
...
In: DTIC AND NTIS (1992)
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2
Byblos Speech Recognition Benchmark Results
Kubala, F.
;
Austin, S.
;
Barry, C.
...
In: DTIC (1991)
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3
Improvements in the BYBLOS Continuous Speech Recognition System
Schwartz, R.
;
Austin, S.
;
Barry, C.
;
Kubala, F.
;
Makhoul, J.
In: DTIC AND NTIS (1990)
Abstract:
The objective of this research was to develop accurate mathematical models of speech sounds for the purpose of large-vocabulary continuous speech recognition. The research focussed on three areas: developing better speech models to improve recognition accuracy, exploring new techniques for speaker-independent training, and developing speaker adaptation techniques that allow system use with a minimum of training. The work was performed within the BBN BYBLOS speech recognition system, which is based on the use of phonetic hidden Markov models. As a result of several model improvements, we have succeeded in decreasing the word rate by a factor of four for speaker-dependent and speaker- independent recognition. In speaker-independent recognition, we developed a new training paradigm in which we record speech from only a dozen speakers instead of the traditional approach of recording more than a hundred speakers. The same approach has been shown to be useful for effective speaker adaptation with only two minutes of speech training.
Keyword:
*MATHEMATICAL MODELS
;
ACCURACY
;
ADAPTATION
;
BYBLOS SPEECH RECOGNITION
;
CONTINUOUS SPEECH RECOGNITION
;
Cybernetics
;
MARKOV PROCESSES
;
MODELS
;
RATES
;
RECOGNITION
;
RECORDING SYSTEMS
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SOUND
;
SPEAKER ADAPTATION
;
SPEAKER INDEPENDENT RECOGNITION
;
SPEECH
;
SPEECH RECOGNITION
;
TRAINING
;
Voice Communications
;
WORDS(LANGUAGE)
URL:
http://www.dtic.mil/docs/citations/ADA230126
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA230126
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4
Combining Multiple Knowledge Sources for Continuous Speech Recognition
Kimball, O.
;
Derr, A.
;
Chow, Y-L.
...
In: DTIC AND NTIS (1989)
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