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1
A Hybrid Segmental Neural Net/Hidden Markov Model System for Continuous Speech Recognition
In: Institute of Electrical and Electronics Engineers. IEEE transactions on speech and audio processing. - New York, NY : Inst. 2 (1994) 1, 151-160
OLC Linguistik
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2
On Using Written Language Training Data for Spoken Language Modeling
In: DTIC (1994)
BASE
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3
Robust Continuous Speech Recognition.
In: DTIC AND NTIS (1994)
BASE
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4
Usable, Real-Time, Interactive Spoken Language Systems
In: DTIC AND NTIS (1994)
BASE
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5
Development of a Spoken Language System
In: DTIC AND NTIS (1992)
BASE
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6
BBN HARC and DELPHI Results on the ATIS Benchmarks - February 1991
In: DTIC (1991)
BASE
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7
Continuous Speech Recognition Using Segmental Neural Nets
In: DTIC (1991)
BASE
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8
Byblos Speech Recognition Benchmark Results
In: DTIC (1991)
Abstract: This paper presents speech recognition test results from the BBN BYBLOS system on the Feb 91 DARPA benchmarks in both the Resource Management (RM) and the Air Travel Information System (ATIS) domains. In the RM test, we report on speaker-independent (SI) recognition performance for the standard training condition using 109 speakers and for our recently proposed SI model made from only 12 training speakers. Surprisingly, the 12-speaker model performs as well as the one made from 109 speakers. Also within the RM domain, we demonstrate that state-of-the-art SI models perform poorly for speakers with strong dialects. But we show that this degradation can be overcome by using speaker adaptation from multiple-reference speakers. For the ATIS benchmarks, we ran a new system configuration which first produced a rank-ordered list of the N-best word-sequence hypotheses. The list of hypotheses was then reordered using more detailed acoustic and language models. In the ATIS benchmarks, we report SI recognition results on two conditions. The first is a baseline condition using only training data available from NIST on CD-ROM and a word-based statistical bi-gram grammar developed at MIT/Lincoln. In the second condition, we added training data from speakers collected at BBN and used a 4-gram class grammar. These changes reduced the word error rate by 25%. ; Sponsored in part by DARPA.
Keyword: *BYBLOS SYSTEM; *INFORMATION SYSTEMS; *SI(SPEAKER-INDEPENDENT) RECOGNITION; *SPEECH RECOGNITION; *TRAINING CONDITIONS; ATIS(AIR TRAVEL INFORMATION SYSTEM); BASELINE; Cybernetics; DIALECTS; GRAMMARS; NATURAL LANGUAGE; RESOURCE MANAGEMENT; RM(RESOURCE MANAGEMENT); TRAINING DATA; Voice Communications
URL: http://www.dtic.mil/docs/citations/ADA459943
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA459943
BASE
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9
Systems
Kimball, O.A. (Mitarb.); Krasner, M.A. (Mitarb.); Kubala, G.F. (Mitarb.)...
In: Readings in speech recognition. - San Mateo, Calif. : Kaufmann (1990), 551-618
BLLDB
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10
Improvements in the BYBLOS Continuous Speech Recognition System
In: DTIC AND NTIS (1990)
BASE
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11
Acoustic-phonetic decoding of speech
In: Recent advances in speech understanding and dialog systems (Berlin [etc.], 1988), P.25-50
MPI für Psycholinguistik
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12
Speech Communication
Stevens, Kenneth N.; Allen, Jonathan; Halle, Morris. - : Research Laboratory of Electronics (RLE) at the Massachusetts Institute of Technology (MIT), 1987
BASE
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13
Research in Continuous Speech Recognition
In: DTIC AND NTIS (1984)
BASE
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14
Research in Continuous Speech Recognition.
In: DTIC AND NTIS (1983)
BASE
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15
Medium and low bit rate speech transmission
In: Automatic speech analysis and recognition (Dordrecht, 1982), p. 21-48
MPI für Psycholinguistik
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16
Speech Compression and Synthesis.
In: DTIC AND NTIS (1979)
BASE
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17
Speech Compression and Synthesis
In: DTIC AND NTIS (1979)
BASE
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18
Speech Compression and Synthesis
In: DTIC AND NTIS (1979)
BASE
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19
Speech Compression and Synthesis
In: DTIC AND NTIS (1978)
BASE
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20
Speech Compression and Synthesis
In: DTIC AND NTIS (1978)
BASE
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