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Hits 1 – 19 of 19

1	Significance of Phonological Features in Speech Emotion Recognition
	Cao, Xinyi; Watters, Paul A.; Wang, Wei...
	In: Faculty Publications (2020)
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2	An individual with hearing preservation and bimodal hearing using a cochlear implant and hearing aids has perturbed sound localization but preserved speech perception ...
	Sharma, S; Mens, Lucas H.M.; Snik, Ad F.M.. - : Radboud University, 2019
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3	What's Wrong With Automatic Speech Recognition (ASR) and How Can We Fix It?
	Morgan, Nelson; Wegmann, Steven; Cohen, Jordan
	In: DTIC (2013)
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4	Effects of noise suppression on intelligibility: experts' opinions and naive normal-hearing listeners' performance.
	Hilkhuysen, GL; Gaubitch, N; Huckvale, M
	In: J Speech Lang Hear Res , 56 (2) 404 - 415. (2013) (2013)
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5	Phoneme Class Based Adaptation for Mismatch Acoustic Modeling of Distant Noisy Speech (Preprint)
	Uluskan, Seckin; Hansen, John H
	In: DTIC (2012)
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6	Evaluation of Auditory Characteristics of Communications and Hearing Protection Systems (C&HPSs) Part 1 - Sound Attenuation to Low-Intensity Sounds
	Henry, Paula; Weatherless, Rachel
	In: DTIC (2010)
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7	Isolated Word Recognition From In-Ear Microphone Data Using Hidden Markov Models (HMM)
	Kurcan, Remzi S.
	In: DTIC (2006)
	Abstract: This thesis is part of an ongoing larger scale research study started in 2004 at the Naval Postgraduate School (NPS) which aims to develop a speech-driven human-machine interface for the operation of semi-autonomous military robots in noisy operational environments. Earlier work included collecting a small database of isolated word utterances of seven words from 20 adult subjects using an in-ear microphone. The research conducted here develops a speaker-independent isolated word recognizer from these acoustic signals based on a discrete observation Hidden Markov Model (HMM) The study implements the HMM-based isolated word recognizer in three steps. The first step performs the endpoint detection and speech segmentation by using short-term temporal analysis. The second step includes speech feature extraction using static and dynamic MFCC parameters and vector quantization of continuous-valued speech features. Finally, the last step involves the discrete-observation HMM-based classifier for isolated word recognition. Experimental results show the average classification performance around 92.77%. The most significant result of this study is that the acoustic signals originating from speech organs and collected within the external ear canal via the in-ear microphone can be used for isolated word recognition. ; The original document contains color images.
	Keyword: MICROPHONES; WORD RECOGNITION; ACOUSTIC SIGNALS; CLASSIFICATION; EAR; EAR CANAL; Electrical and Electronic Equipment; FEATURE EXTRACTION; HIDDEN MARKOV MODELS; HMM(HIDDEN MARKOV MODEL); IN-EAR MICROPHONE; ISOLATION; MARKOV PROCESSES; MATHEMATICAL MODELS; THESES; VECTOR ANALYSIS; Voice Communications
	URL: http://www.dtic.mil/docs/citations/ADA445459 http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA445459
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8	Fuzzy Controller for Acoustic Vehicle Target Intercept Guidance
	Bessaini, Anthony F; Pinkos, Robert F
	In: DTIC AND NTIS (1997)
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9	An Efficient A* Stack Decoder Algorithm for Continuous Speech Recognition with a Stochastic Language Model.
	Paul, D. B.
	In: DTIC AND NTIS (1991)
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10	RSRE (Royal Signals and Radar Establishment) Speech Database Recordings (1983). Part 2. Recording Made for Automatics Speech Recognition Assessment and Research
	Russell,M. J.; Moore,R. K.; Tomlinson,M. J....
	In: DTIC AND NTIS (1984)
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11	Auditory Induction of Discrete Tones in Signal Detection Tasks.
	Bennett,K B; Parasuraman,R; Howard,J H , Jr...
	In: DTIC AND NTIS (1983)
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12	High-Speed Integrated Circuits for Military Applications.
	Preston,Glenn W
	In: DTIC AND NTIS (1979)
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13	Speech Understanding Systems. Volume II. Acoustic Front End.
	Woods,William A; Bates,Madeleine; Brown,Geoffrey...
	In: DTIC AND NTIS (1976)
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14	Mobile Sonar Technology Information Bank.
	Bardin, J. L.
	In: DTIC AND NTIS (1973)
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15	An Automatic Electronic Speech Teaching Responder.
	Kuligowski, Theodore Joseph
	In: DTIC AND NTIS (1968)
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16	A STUDY OF A COUSTICAL MULTIPATH SYSTEMS. SECTION II. SUBJECTIVE TESTING.
	Fisher, H. Geoffrey
	In: DTIC AND NTIS (1966)
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17	VOICE SOUND RECOGNITION.
	Teacher,Charles F.; Piotrowski,Casimir F.
	In: DTIC AND NTIS (1965)
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18	TRANSDUCER AND INTERPHONE SYSTEM FOR OPERATION IN HIGH-AMBIENT NOISE.
	Rosenheck,Allan J.; Torick,Emil L.; DiMattia,Alfred L.
	In: DTIC AND NTIS (1965)
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19	METHODS FOR PHONEMIC RECOGNITION IN SPEECH PROCESSING
	Hollabaugh, Jon D
	In: DTIC AND NTIS (1963)
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