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Voice Communications (10)
PHONETICS (6)
*VOCODERS (5)
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ACCURACY (4)
ALGORITHMS (4)
CLUSTERING (4)
Cybernetics (3)
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Schwartz, Richard (9)
Makhoul, John (7)
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BBN SYSTEMS AND TECHNOLOGIES CORP CAMBRIDGE MA (4)
Roukos, Salim (4)
Kubala, Francis (3)
Barry, Chris (2)
Nguyen, Long (2)
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Simple Search
Hits 1 – 10 of 10
1
Comparative Experiments on Large Vocabulary Speech Recognition
Schwartz, Richard
;
Anastasakos, Tasos
;
Kubala, Francis
...
In: DTIC (1993)
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2
BBN BYBLOS and HARC February 1992 ATIS Benchmark Results
Kubala, Francis
;
Barry, Chris
;
Bates, Madeleine
...
In: DTIC (1992)
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3
Toward a Real-Time Spoken Language System Using Commercial Hardware
Austin, Steve
;
Peterson, Pat
;
Placeway, Paul
...
In: DTIC (1990)
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4
Speaker Adaptation Using Multiple Reference Speakers
Kubala, Francis
;
Schwartz, Richard
;
Barry, Chris
In: DTIC (1989)
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5
Combining Multiple Knowledge Sources for Speech Recognition
Schwartz, Richard
;
Makhoul, John
In: DTIC AND NTIS (1988)
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6
Research on Narrowband Communications.
Roucos,Salim
;
Schwartz,Richard
;
Makhoul,John
In: DTIC AND NTIS (1982)
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7
Research on Narrowband Communications
Makhoul, John
;
Roukos, Salim
;
Schwartz, Richard
In: DTIC AND NTIS (1981)
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8
Research on Narrowband Communications
Makhoul, John
;
Krasner, Michael
;
Roukos, Salim
...
In: DTIC AND NTIS (1981)
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9
Research on Narrowband Communications
Makhoul, John
;
Roukos, Salim
;
Krasner, Micheal
...
In: DTIC AND NTIS (1981)
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10
Research on Narrowband Communications
Makhoul, John
;
Roukos, Salim
;
Schwartz, Richard
In: DTIC AND NTIS (1980)
Abstract:
This document reports on work toward a very low rate vocoder. We model speech as a Markov Chain of spectral templates for the unsupervised learning approach to very low rate vocoding. This quarter we compared several clustering techniques. We determined that a hierarchical approach to clustering is economical with minimal loss in performance. Furthermore, we found that a small number of spectral templates (from 128 to 256) is sufficient for vocoding with good intelligibility. Also, in the phoneme recognition approach, we automated the training of the diphone network on labelled speech.
Keyword:
*SPEECH TRANSMISSION
;
*VOCODERS
;
ALGORITHMS
;
CLUSTERING
;
Cybernetics
;
HIERARCHIES
;
LOW RATE
;
MARKOV CHAINS
;
MARKOV PROCESSES
;
PHONEMES
;
PHONETICS
;
SPECTRUM ANALYSIS
;
SPEECH COMPRESSION
;
SPEECH RECOGNITION
;
SPEECH REPRESENTATION
;
Voice Communications
URL:
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA102706
http://www.dtic.mil/docs/citations/ADA102706
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