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1
Authors' Responses - Regularities in motion: Apparent, real, and internalized
In: Behavioral and brain sciences. - New York, NY [u.a.] : Cambridge Univ. Press 24 (2001) 4, 757-761
OLC Linguistik
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2
Evolutionary internalized regularities
In: Behavioral and brain sciences. - New York, NY [u.a.] : Cambridge Univ. Press 24 (2001) 4, 626-628
OLC Linguistik
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3
Spatial cues in the cinematic discourse: Selection, function and style in Jurassic Park and Prospero's Books
In: Journal of pragmatics. - Amsterdam [u.a.] : Elsevier 26 (1996) 6, 767-792
OLC Linguistik
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4
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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5
On Using Written Language Training Data for Spoken Language Modeling
In: DTIC (1994)
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6
Robust Continuous Speech Recognition.
In: DTIC AND NTIS (1994)
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7
BBN HARC and DELPHI Results on the ATIS Benchmarks - February 1991
In: DTIC (1991)
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8
Continuous Speech Recognition Using Segmental Neural Nets
In: DTIC (1991)
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9
Byblos Speech Recognition Benchmark Results
In: DTIC (1991)
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10
Improvements in the BYBLOS Continuous Speech Recognition System
In: DTIC AND NTIS (1990)
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11
Combining Multiple Knowledge Sources for Continuous Speech Recognition
In: DTIC AND NTIS (1989)
Abstract: The objective of this project has been to develop methods and techniques to coordinate the many sources of knowledge in the decision for a continuous speech recognition system. This effort includes finding methods for effectively combining information from various knowledge sources, and for developing recognition search strategies that find the most likely word sequence, given the input speech. These search strategies must consider a very large number of word-sequence hypotheses in a computationally efficient manner. To develop and demonstrate these techniques, we designed and implemented a complete word recognition system for continuous speech which is capable of incorporating knowledge from several sources, including lexical, phonetic, phonological, and grammatical knowledge. The complete system called BYBLOS, has been shown to achieve the highest recognition accuracy to date on standard government tests using a 1000-word continuous speech corpus.
Keyword: *MARKOV PROCESSES; *SPEECH RECOGNITION; *VOICE COMMUNICATIONS; ACCURACY; ADAPTATION; CONTINUOUS SPEECH RECOGNITION; COORDINATES; Cybernetics; DATA BASES; HIDDEN MARKOV MODELS; INPUT; LANGUAGE MODELLING; MATHEMATICAL MODELS; RECOGNITION; SEARCHING; SEQUENCES; SPEAKER ADAPTATION; SPEECH; SPEECH DATABASE; STANDARDIZATION; STRATEGY; TEST METHODS; Voice Communications; WORD RECOGNITION; WORDS(LANGUAGE)
URL: http://www.dtic.mil/docs/citations/ADA212368
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA212368
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12
Statistical Modeling for Continuous Speech Recognition
In: DTIC AND NTIS (1988)
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13
Robust Coarticulatory Modeling for Continuous Speech Recognition.
In: DTIC AND NTIS (1986)
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14
Research in Continuous Speech Recognition
In: DTIC AND NTIS (1984)
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15
Linguistic innateness and its evidence
In: Language in primates (New York, 1983), p. 125-136
MPI für Psycholinguistik
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16
Talk to the animals
In: Language in primates (New York, 1983), p. 137-145
MPI für Psycholinguistik
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17
Research in Continuous Speech Recognition.
In: DTIC AND NTIS (1983)
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18
Imagery : there's more to it than meets the eye
In: Imagery (Cambridge, Mass., 1981), P.109-130
MPI für Psycholinguistik
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19
Speech Compression and Synthesis.
In: DTIC AND NTIS (1979)
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20
Speech Compression and Synthesis
In: DTIC AND NTIS (1979)
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