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Simple Search
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)
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11
Spontaneous Speech Collection for the CSR Corpus
Bernstein, Jared
;
Danielson, Denise
In: DTIC (1992)
Abstract:
As part of a pilot data collection for DARPA's Continuous Speech Recognition (CSR) speech corpus, SRI International experimented with the collection of spontaneous speech material. The bulk of the CSR pilot data was read versions of news articles from the Wall Street Journal (WSJ), and the spontaneous sentences were to be similar material, but spontaneously dictated. In the first pilot portion of the data collection, twelve subjects including nine journalists were located, and instructed in how to dictate using the data collection hardware and software at SRI. These talkers pro- produced 1280 spontaneous sentences. In general, compared to read material, the spontaneous material took about two to three times more subject time to produce and about four times more experimenter time to produce, package, and ship. The paper provides details on the materials, subjects and procedures used in the study, and it describes the results in terms of speaker reaction and data production. The methods described are sufficient to collect fluent spontaneous recordings at a predictable rate. The spontaneous material differs in several characteristics from WSJ material; paragraphs and sentences tend to be longer, more world type are used, and by most measures, the material is more variable.
Keyword:
*NATURAL LANGUAGE
;
*SPEECH RECOGNITION
;
COLLECTION
;
COMPUTER PROGRAMS
;
DATA ACQUISITION
;
DATA PROCESSING
;
GLOBAL
;
Linguistics
;
PREDICTIONS
;
PRODUCTION
;
RATES
;
READING
;
RECORDING SYSTEMS
;
RESPONSE
;
SPEECH
;
Voice Communications
;
WORDS(LANGUAGE)
URL:
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA457876
http://www.dtic.mil/docs/citations/ADA457876
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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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