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How Autism Affects Speech Understanding in Multitalker Environments
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In: DTIC (2014)
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| 2 |
How Autism Affects Speech Understanding in Multitalker Environments
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In: DTIC (2013)
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Effects of Speech Intensity on the Callsign Acquisition Test (CAT) and Modified Rhyme Test (MRT) Presented in Noise
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In: DTIC (2012)
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| 4 |
Performance Assessments of Two-Way, Free-Form, Speech-to-Speech Translation Systems for Tactical Use
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In: DTIC (2011)
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| 5 |
Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
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In: DTIC (2007)
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| 6 |
Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004
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In: DTIC (2004)
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| 7 |
The Pragmatics of Taking a Spoken Language System Out of the Laboratory
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In: DTIC (2003)
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| 8 |
A Three-Tiered Evaluation Approach for Interactive Spoken Dialogue Systems
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In: DTIC (2001)
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| 9 |
Speech Intelligibility of Native and Non-Native Speech
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In: DTIC (2000)
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| 10 |
Acoustic-Phonetic Modeling of Non-Native Speech for Language Identification
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In: DTIC (2000)
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| 11 |
Comparative Experiments on Large Vocabulary Speech Recognition
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In: DTIC (1993)
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| 12 |
Dialog Structure and Plan Recognition in Spontaneous Spoken Dialog
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In: DTIC AND NTIS (1993)
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| 13 |
Development of a Spoken Language System
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Austin, S.; Ayuso, D.; Barry, C.; Bates, M.; Bobrow, R.; Boisen, S.; Ellard, D.; Ingria, R.; Kubala, F.; Makhoul, J.
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In: DTIC AND NTIS (1992)
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Abstract:
This report describes the activities performed and the progress made in the development of HARC (Hear And Respond to Continuous speech), BBN's spoken language system, from May 1, 1989 to February 29, 1992. Significant progress has been made both in terms of speed of understanding and accuracy of understanding. New search algorithms BBN developed during this period increased the speed of HARC by more than three orders of magnitude. The result has been the first spoken language system that runs in real-time on an off-the-shelf workstation, with no additional hardware. Furthermore, real-time performance was achieved without losing understanding accuracy. In tests performed by the National Institute of Standards and Technology (NIST) on data collected from the DARPA airline Travel Information System (ATIS) domain, the BBN HARC system had the best speech recognition and speech understanding performance. Another important milestone in this project has been the demonstration of HARC in a military logistical transportation planning application.
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Keyword:
*REAL TIME; *SPEECH RECOGNITION; *SYSTEMS ENGINEERING; ACCURACY; ALGORITHMS; Computer Programming and Software; DEMONSTRATIONS; DETECTION; FRAGMENTS; LANGUAGE; MILITARY APPLICATIONS; NATURAL LANGUAGE; PARSERS; PLANNING; PROCESSING; RECOGNITION; SEMANTICS; SPEECH; STANDARDS; SYNTAX; TEST AND EVALUATION; TIME; TRANSPORTATION; TRAVEL; VELOCITY; Voice Communications; WORD RECOGNITION
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URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA251210
http://www.dtic.mil/docs/citations/ADA251210
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| 14 |
Augmented Role Filling Capabilities for Semantic Interpretation of Spoken Language
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In: DTIC (1991)
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| 15 |
Rule-Based Frequency Domain Speech Coding
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In: DTIC AND NTIS (1990)
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| 16 |
Connected Digit Recognition in a Multilingual Environment
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In: DTIC AND NTIS (1988)
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| 17 |
Speaker-Independent Connected Speech.
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In: DTIC AND NTIS (1987)
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