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How Autism Affects Speech Understanding in Multitalker Environments
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In: DTIC (2014)
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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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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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Listener Detection of Talker Stress in Low-Rate Coded Speech
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In: DTIC (2008)
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Linking Semantic and Knowledge Representations in a Multi-Domain Dialogue System
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In: DTIC (2007)
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Comparing Evaluation Metrics for Sentence Boundary Detection
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In: DTIC (2007)
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Measuring Human Readability of Machine Generated Text: Three Case Studies in Speech Recognition and Machine Translation
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In: DTIC (2005)
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Speech Intelligibility with Acoustic and Contact Microphones
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In: DTIC (2005)
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Conversational Telephone Speech Corpus Collection for the NIST Speaker Recognition Evaluation 2004
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In: DTIC (2004)
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Spoken Dialogue for Simulation Control and Conversational Tutoring
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In: DTIC (2004)
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The Pragmatics of Taking a Spoken Language System Out of the Laboratory
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In: DTIC (2003)
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A Three-Tiered Evaluation Approach for Interactive Spoken Dialogue Systems
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In: DTIC (2001)
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Automated Tutoring Dialogues for Training in Shipboard Damage Control
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In: DTIC (2001)
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Speech Intelligibility of Native and Non-Native Speech
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In: DTIC (2000)
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Acoustic-Phonetic Modeling of Non-Native Speech for Language Identification
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In: DTIC (2000)
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Uses of the Diagnostic Rhyme Test (English Version) for Predicting the Effects of Communicators' Linguistic Backgrounds on Voice Communications in English: An Exploratory Study
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In: DTIC (2000)
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Efficient Algorithms for Speech Recognition.
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In: DTIC AND NTIS (1996)
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External/Internal Data Fusion Testbed: History, Components and Experimental Analysis.
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In: DTIC AND NTIS (1995)
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Abstract:
Rome Laboratory (RL) has been performing Speech Processing Research and Development since the early sixties. Areas of research include Speech Recognition, Speaker Identification, Language Identification, Keyword Recognition, Platform Identification, and External/Internal (E/I) Data Fusion. This thesis describes in detail an experiment to optimize the weighting of external, internal and ELINT information using the RL E/I Data Fusion Testhed. Internals are RL audio processing functions, such as: Speaker and Language Identification. Externals are other information that can be obtained from the audio signal such as: Transmission Frequency, Direction, and Modulation type. ELINT is the process of observing radar signals to obtain information about their capabilities. This thesis also describes a series of experiments which can he performed on this Testbed. A preliminary experiment was designed and performed to determine the best set of externals for the Testbed.
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Keyword:
*DATA FUSION; *ELECTRONIC INTELLIGENCE; *SPEECH PROCESSING; *TEST BEDS; ACOUSTIC SIGNALS; EXTERNAL; GRAPHS; IDENTIFICATION; INDEX TERMS; INTERNAL; LANGUAGE; Military Intelligence; MODULATION; PLATFORMS; PROCESSING; RADAR SIGNALS; SPEECH; SPEECH RECOGNITION; THESES; Voice Communications; WURL31880750
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URL: http://www.dtic.mil/docs/citations/ADA299957 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA299957
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Comparative Experiments on Large Vocabulary Speech Recognition
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In: DTIC (1993)
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