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1
Study of Discussion Record Analysis Using Temporal Data Crystallization and Its Application to TV Scene Analysis
In: DTIC (2015)
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2
Role of Autism Susceptibility Gene, CNTNAP2, in Neural Circuitry for Vocal Communication
In: DTIC (2013)
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3
The Representation and Processing of Tense, Aspect & Voice across Verbal Elements in English
In: DTIC (2012)
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4
A Spoken Dialogue System for Command and Control
In: DTIC (2012)
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5
Familiar Speaker Recognition
In: DTIC (2012)
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6
Effects of Speech Intensity on the Callsign Acquisition Test (CAT) and Modified Rhyme Test (MRT) Presented in Noise
In: DTIC (2012)
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7
Segregation of Whispered Speech Interleaved with Noise or Speech Maskers
In: DTIC (2011)
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8
Improving the Capacity of Language Recognition Systems to Handle Rare Languages Using Radio Broadcast Data
In: DTIC (2011)
Abstract: The total duration of the project is divided into 2 phases The first phase planned for the period May 2008 to Oct 2008. The second phase planned for Nov 2008 to April 2008. It has the following 3 work-packages (WP). This project counts on Voice of America (VOA) data collection performed by LDC in the several past years. The VOA data will need to be completed with the available meta-information, especially about the language(s) contained. The following step will consist of cleaning the data and selecting relevant speech information, as we are aware of the automatically acquired data being quite dirty for the purposes of LRE: 1. automatic segmentation into speech, music and noise segments, while only speech will be retained. The speech/music segmentation was the topic of a diploma thesis finished at our department [Hovorka2006] and is available for use in this project. 2. voice activity detection (VAD) that will be performed by our phoneme recognizer [Schwarz2006] with all phoneme classes linked to speech class. This setup was successfully used in a wide range of applications such as speaker recognition, language recognition, speech transcription and spoken term detection and evaluated in several NIST evaluations. 3. detecting telephone conversations in the data. In this project, we will mainly investigate the data that is as closed as possible to the target domain: conversational telephone speech (CTS). Therefore, we will concentrate on the segments with detected telephone speech (people calling in the broadcast) as we believe these should correspond the best to CTS. Initial work on Thai done for NIST LRE 2007 has shown a yield of 8 hours of telephone conversations from approximately 400 hours of VOA data downloaded from the Internet archive of VOA. ; The original document contains color images.
Keyword: *CTS(CONVERSATIONAL TELEPHONE SPEECH); *LANGUAGE; *RADIO BROADCASTING; *SPEECH RECOGNITION; *VOICE COMMUNICATIONS; ACOUSTIC SYSTEMS; ACOUSTICS; ANN(ARTIFICIAL NEURAL NETWORKS); BINARY TREES; CHANNEL COMPENSATION; COEFFICIENTS; DECISION COST FUNCTIONS; DIGITAL VIDEO BROADCASTING; DISCRIMINANT ANALYSIS; EER(EQUAL ERROR RATE); ELLR(EXPECTED LOG LIKELIHOOD RATIO); EOARD(EUROPEAN OFFICE OF AEROSPACE RESEARCH AND DEVELOPMENT); FUNCTIONS(MATHEMATICS); GMM(GAUSSIAN MIXTURE MODELS); GRAPHS; HMM(HIDDEN MARKOV MODELS); I VECTOR SYSTEMS; JFA(JOINT FACTOR ANALYSIS); LDA(LINEAR DISCRIMINANT ANALYSIS); LDC(LINGUISTIC DATA CONSORTIUM); LID(LANGUAGE IDENTIFICATION); Linguistics; LRE(LANGUAGE RECOGNITION); MAP(MAXIMUM A POSTERIORI PROBABILITY); MAXIMUM LIKELIHOOD ESTIMATION; MFCC(MEL FREQUENCY CEPSTRAL COEFFICIENTS); NEURAL NETS; PE61102F; PHONEME RECOGNIZERS; PHONEMES; PHONOTACTIC SYSTEMS; PIVCO(PHONOTACTIC INTERSESSION VARIABILITY COMPENSATION); PLDA(PROBABILISTIC LDA); PROBABILITY; PSD(POWER SPECTRAL DENSITY); Radio Communications; RATIOS; REPEATING SPEAKERS; SPEAKER RECOGNITION; SPEECH TRANSCRIPTION; SPOKEN TERM DETECTION; SVM(SUPPORT VECTOR MACHINES); TABLES(DATA); TELEPHONE CONVERSATIONS; UBM(UNIVERSAL BACKGROUND MODEL); VAD(VOICE ACTIVITY DETECTION); VOA(VOICE OF AMERICA); Voice Communications; VTLN(VOICE TRACT LENGTH NORMALIZATION)
URL: http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA535721
http://www.dtic.mil/docs/citations/ADA535721
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9
U.S. Airline Transport Pilot International Flight Language Experiences, Report 6: Native English-Speaking Controllers Communicating With Non-Native English-Speaking Pilots
In: DTIC (2011)
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10
The SRI NIST 2010 Speaker Recognition Evaluation System (PREPRINT)
In: DTIC (2011)
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11
Real-Time Speaker Detection for User-Device Binding
In: DTIC (2010)
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12
Evaluation of Auditory Characteristics of Communications and Hearing Protection Systems (C&HPSs) Part 1 - Sound Attenuation to Low-Intensity Sounds
In: DTIC (2010)
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13
Multitalker Speech Perception with Ideal Time-Frequency Segregation: Effects of Voice Characteristics and Number of Talkers
In: DTIC (2009)
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14
Rapidly Customizable Spoken Dialogue Systems
In: DTIC (2009)
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15
Pictures from Words, Pictures from Text: Constructing Pictorial Representations of Meaning from Text
In: DTIC (2009)
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16
The ICAO English Language Proficiency Rating Scale Applied to Enroute Voice Communication of U.S. and Foreign Pilots
In: DTIC (2009)
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17
Speech Processing in Realistic Battlefield Environments (Le Traitement de la Parole en Environnement de Combat Realiste)
In: DTIC (2009)
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18
2-D Processing of Speech for Multi-Pitch Analysis
In: DTIC (2009)
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19
Pilot English Language Proficiency and the Prevalence of Communication Problems at Five U.S. Air Route Traffic Control Centers
In: DTIC (2008)
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20
Listener Detection of Talker Stress in Low-Rate Coded Speech
In: DTIC (2008)
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