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Hits 1 – 15 of 15

1	The SRI NIST 2010 Speaker Recognition Evaluation System (PREPRINT)
	Scheffer, Nicolas; Ferrer, Luciana; Graciarena, Martin...
	In: DTIC (2011)
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2	Human Language Technology: Opportunities and Challenges
	Ostendorf, Mari; Shriberg, Elizabeth; Stolcke, Andreas
	In: DTIC (2005)
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3	Phonetic Consequences of Speech Disfluency
	Shriberg, Elizabeth E.
	In: DTIC (1999)
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4	High-Accuracy Large-Vocabulary Speech Recognition Using Mixture Tying and Consistency Modeling
	Digalakis, Vassilios; Murveit, Hy
	In: DTIC (1994)
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5	Microphone-Independent Robust Signal Processing Using Probabilistic Optimum Filtering
	Neumeyer, Leonardo; Weintraub, Mitchel
	In: DTIC (1994)
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6	High-Performance Speech Recognition Using Consistency Modeling
	Digilakis, Vassilios; Monaco, Peter; Murveit, Hy...
	In: DTIC AND NTIS (1994)
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7	High-Performance Speech Recognition Using Consistency Modeling.
	Digalakis, Vassilios; Murveit, Hy; Monaco, Peter...
	In: DTIC AND NTIS (1994)
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8	Progressive-Search Algorithms for Large-Vocabulary Speech Recognition
	Murveit, Hy; Butzberger, John; Digalakis, Vassilios...
	In: DTIC (1993)
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9	A Real-Time Spoken-Language System for Interactive Problem-Solving, Combining Linguistic and Statistical Technology for Improved Spoken Language Understanding
	Moore, Robert C.; Cohen, Michael H.
	In: DTIC AND NTIS (1993)
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10	Detection and Correction of Repairs in Human-Computer Dialog
	Bear, John; Dowding, John; Shriberg, Elizabeth
	In: DTIC (1992)
	Abstract: The authors have analyzed 607 sentences of spontaneous human-computer speech data containing repairs that were drawn from a total corpus of 10,718 sentences. In this paper, they present criteria and techniques for automatically detecting the presence of a repair, its location, and making the appropriate correction. The criteria involve integration of knowledge from several sources: pattern matching, syntactic and semantic analysis, and acoustics. In summary, disfluencies occur at high enough rates in human-computer dialog to merit consideration. In contrast to earlier approaches, the authors have made it their goal to detect and correct repairs automatically, without assuming an explicit edit signal. Without such an edit signal, however, repairs are easily confused both with false positives and with other repairs. Preliminary results show that pattern matching is effective at detecting repairs without excessive overgeneration. Their syntactic/semantic approaches are quite accurate at detecting repairs and correcting them. Acoustics is a third source of information that can be tapped to provide evidence about the existence of a repair. While none of these knowledge sources by itself is sufficient, they propose that by combining them, and possibly others, one can greatly enhance one's ability to detect and correct repairs. As a next step, they intend to explore additional aspects of the syntax and semantics of repairs, analyze further acoustic patterns, and pursue the question of how best to integrate information from these multiple knowledge sources. ; Sponsored in part by the Defense Advanced Research Projects Agency (DARPA) and the National Science Foundation under grant NSF-IRI8905249. Technical Note No. 518. Pub. in the Proceedings of the Annual Meeting of the Association for Computational Linguistics under the title "Integrating Multiple Knowledge Sources for Detection and Correction of Repairs in Human-Computer Dialog," 1992.
	Keyword: AUTOMATION; COMPUTATIONAL LINGUISTICS; COMPUTERS; CORRECTIONS; DETECTION; DISFLUENT SPEECH; HUMAN-COMPUTER SPEECH; HUMANS; KNOWLEDGE INTEGRATION; REPAIR; *SPEECH ANALYSIS; ACOUSTIC ANALYSIS; ACOUSTICS; AUTOMATIC CORRECTION; AUTOMATIC DETECTION; Cybernetics; DARPA SPOKEN LANGUAGE PROGRAM; DIGITIZED TRANSCRIPTIONS; DIGITIZED WAVEFORMS; DISFLUENCIES; ERRORS; Human Factors Engineering & Man Machine System; HUMAN-COMPUTER DIALOG; INFORMATION PROCESSING; Linguistics; MAN MACHINE SYSTEMS; MATCHING; NATURAL LANGUAGE; NATURAL LANGUAGE PROCESSING; PARSERS; PATTERN MATCHING; PATTERNS; SEMANTIC ANALYSIS; SEMANTICS; SPEECH REPAIR; SPONTANEOUS SPEECH DATA; SYMPOSIA; SYNTACTIC ANALYSIS; SYNTAX; Voice Communications
	URL: http://www.dtic.mil/docs/citations/ADA458689 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA458689
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11	Spontaneous Speech Collection for the CSR Corpus
	Bernstein, Jared; Danielson, Denise
	In: DTIC (1992)
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12	Communication and Attitude Revision
	Appelt, Douglas E.
	In: DTIC AND NTIS (1992)
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13	Prosody, Syntax and Parsing
	Bear, John; Price, Patti
	In: DTIC (1990)
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14	Data Collection and Analysis in the Air Travel Planning Domain
	Kowtko, Jacqueline C.; Price, Patti J.
	In: DTIC (1989)
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15	Why Is Discourse Coherent
	Hobbs, Jerry R.
	In: DTIC (1978)
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