Automatic speech

Results: 640



#Item
241Graphical models / Networks / Machine learning / Bayesian network / Speech recognition / Mutual information / Expectation–maximization algorithm / Hidden Markov model / Generative model / Statistics / Statistical models / Bayesian statistics

STRUCTURALLY DISCRIMINATIVE GRAPHICAL MODELS FOR AUTOMATIC SPEECH RECOGNITION – RESULTS FROM THE 2001 JOHNS HOPKINS SUMMER WORKSHOP  

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Source URL: research.microsoft.com

Language: English - Date: 2005-03-03 12:04:50
242Speech recognition / Orthography / Phoneme / Phonology / N-gram / Linguistics / Phonetics / Computational linguistics

MLP BASED PHONEME DETECTORS FOR AUTOMATIC SPEECH RECOGNITION Samuel Thomas1 , Patrick Nguyen2 , Geoffrey Zweig2 and Hynek Hermansky1 1 The Johns Hopkins University, Baltimore, USA 2

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Source URL: research.microsoft.com

Language: English - Date: 2011-02-03 10:25:42
243Artificial intelligence / Automatic identification and data capture / Image processing / Computer accessibility / Speech recognition / Segmentation / Cluster analysis / Speech synthesis / Speech Translation / Computational linguistics / Statistics / Science

The IBM 2006 Speech Transcription System for European Parliamentary Speeches B. Ramabhadran, O. Siohan, L. Mangu, G. Zweig M. Westphal. H. Schulz, A. Soneiro IBM T. J. Watson Research Center

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Source URL: research.microsoft.com

Language: English - Date: 2006-11-14 13:37:44
244Science / Philosophy of language / Computational linguistics / Oral communication / Phonetics / Speech act / Natural language processing / Backchannel / Speech disfluency / Linguistics / Pragmatics / Language

Dialogue Act Modeling for Automatic Tagging and Recognition of Conversational Speech Andreas Stolcke Klaus Ries

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Source URL: nlp.stanford.edu

Language: English - Date: 2011-11-11 22:31:32
245Science / Human–computer interaction / Computer accessibility / Speech recognition / Mixture model / Acoustic model / Hidden Markov model / Mel-frequency cepstrum / Computational linguistics / Statistics / Automatic identification and data capture

EUROSPEECHGENEVA Toward Domain-Independent Conversational Speech Recognition Brian Kingsbury, Lidia Mangu, George Saon, Geoffrey Zweig, Scott Axelrod, Vaibhava Goel, Karthik Visweswariah, and Michael Picheny IBM

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Source URL: research.microsoft.com

Language: English - Date: 2006-11-22 18:46:06
246Linguistics / Science / Speech recognition / Computer accessibility / OOV / Speech Translation / Noisy channel model / Word error rate / Computational linguistics / Automatic identification and data capture / Human–computer interaction

CONFIDENCE ESTIMATION, OOV DETECTION AND LANGUAGE ID USING PHONE-TO-WORD TRANSDUCTION AND PHONE-LEVEL ALIGNMENTS + Christopher White, ++ Geoffrey Zweig, ∗ Lukas Burget, ∗ Petr Schwarz, ∗∗ Hynek Hermansky +

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Source URL: research.microsoft.com

Language: English - Date: 2007-10-05 19:55:37
247Speaker recognition / Speech processing / Loudspeaker / Telephone / Human–computer interaction / Technology / Automatic identification and data capture / Biometrics

RAPID CHANNEL COMPENSATION FOR SPEAKER VERIFICATION IN THE NIST 2000 SPEAKER RECOGNITION EVALUATION J. Pelecanos and S. Sridharan Speech Research Lab, RCSAVT School of Electrica1 and Electronic Systems Engineering

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Source URL: www.acoustics.asn.au

Language: English - Date: 2011-05-02 01:05:11
248Science / Linguistics / Automatic identification and data capture / Computer accessibility / Mixture model / Word error rate / Acoustic model / Voice-mail / Speech / Computational linguistics / Speech recognition / Human–computer interaction

IEEE Instrumentation and Measurement Technology Conference Budapest, Hungary, MayEvolution of the performance of automatic speech recognition algorithms in transcribing conversational telephone speech

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Source URL: research.microsoft.com

Language: English - Date: 2006-11-14 12:54:39
249Computer accessibility / Speech recognition / Bond duration / Hidden Markov model / Human–computer interaction / Science / Software / Computational linguistics / Markov models / Automatic identification and data capture

DISCRIMINATIVE DURATION MODELING FOR SPEECH RECOGNITION WITH SEGMENTAL CONDITIONAL RANDOM FIELDS Justine T. Kao Stanford University Symbolic Systems Program Stanford, CA 94309, USA

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Source URL: research.microsoft.com

Language: English - Date: 2011-01-24 14:48:35
250Speech recognition / Accent / Science / Statistical classification / Generalized method of moments / Linguistics / Automatic identification and data capture / Computer accessibility

AN EMPIRICAL STUDY OF AUTOMATIC ACCENT CLASSIFICATION Ghinwa Choueiter Geoffrey Zweig, Patrick Nguyen Massachusetts Institute of Technology

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Source URL: research.microsoft.com

Language: English - Date: 2007-10-06 13:49:59
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