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All India Institute of Speech and Hearing, Mysuru
(An Autonomous institute Under Ministry of Health and Family Welfare, Government of India.)

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Mathematical foundations of speech and language processing / Mark Johnson ... [et al.], editors.

Contributor(s): Material type: TextSeries: IMA volumes in mathematics and its applications ; v. 138Publication details: New York : Springer, c2004.Description: x, 286 p. : ill. ; 25 cmISBN:
  • 0387203265 (alk. paper)
Subject(s): DDC classification:
  • 006.454 JOH 23
LOC classification:
  • TK7882.S65 .M38 2004
Online resources:
Contents:
Probability and statistics in computational linguistics, a brief review.- Three issues in modern language modeling.- Stochastic analysis of Structured Language Modeling.- Latent semantic language modeling for speech recognition.- Prosody modeling for automatic speech recognition and understanding.- Switching dynamic system models for speech articulation and acoustics.- Segmental HMMS: Modeling dynamics and underlying structure in speech.- Modelling graph-based observation spaces for segment-based speech recognition.- Towards robust and adaptive speech recognition models.- Graphical models and automatic speech recognition.- An introduction to Markov chain Monte Carlo methods.- Semiparametric filtering in speech processing.- List of workshop participants.
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Stack text books All India Institute of Speech and Hearing 3/5 006.454 JOH (Browse shelf) Available 13698
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Includes bibliographical references.

Probability and statistics in computational linguistics, a brief review.- Three issues in modern language modeling.- Stochastic analysis of Structured Language Modeling.- Latent semantic language modeling for speech recognition.- Prosody modeling for automatic speech recognition and understanding.- Switching dynamic system models for speech articulation and acoustics.- Segmental HMMS: Modeling dynamics and underlying structure in speech.- Modelling graph-based observation spaces for segment-based speech recognition.- Towards robust and adaptive speech recognition models.- Graphical models and automatic speech recognition.- An introduction to Markov chain Monte Carlo methods.- Semiparametric filtering in speech processing.- List of workshop participants.

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