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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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Abstract:
In real spoken language applications, speakers interact spontaneously and frequently diverge from the task at hand by initiating various types of domain, application or environmentally related subdialogs. We claim that unconstrained, task-oriented spontaneous spoken dialog is structured and predictable in spite of such phenomena as spurious topic changes and subdialogs. The discourse structure for any specific dialog is derived from the structure of the task, contextual constraints derived from prior interaction and the characteristics of a finite set of discourse plans responsible for subdialogs and topic changes. This paper describes a preliminary model of discourse structure and plan recognition for spontaneous spoken discourse that has been implemented and evaluated on a 5000 utterance test corpora drawn from two distinct spoken language applications. The model dynamically constrains a speech recognizer, simplifies -the process of inferring meaning from a spontaneous spoken utterance and accounts for the subdialog phenomena observed. We describe these discourse plans, constraints on their occurrence and content, and their representation and processing. The model processes all subdialog phenomena using a domain plan tree, a current focus stack and a set of domain tree traversal algorithms. ; Sponsored in part by the Office of Naval Research.
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Keyword:
*LANGUAGE; *LINGUISTICS; *SPEECH ANALYSIS; *SPEECH RECOGNITION; ALGORITHMS; Cybernetics; INTERACTIONS; MODELS; NATURAL LANGUAGE; SPEECH; TEST AND EVALUATION; Voice Communications
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URL: http://www.dtic.mil/docs/citations/ADA277566
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA277566
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| 13 |
Development of a Spoken Language System
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In: DTIC AND NTIS (1992)
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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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