Mathematical Foundations of Speech and Language Processing (eBook, PDF)

Redaktion: Johnson, Mark; Rosenfeld, Roni; Ostendorf, Mari; Khudanpur, Sanjeev P.

• Format: PDF

Produktbeschreibung

This volume consists of original contributions by participants of the workshops on Mathematical Foundations of Speech Processing and Natural Language Modeling, held in the Fall of 2000 at the Institute for Mathematics and Its Applications as part of its "Mathematics in Multimedia" year-long program. Topics include language modeling, prosody, acoustic-phonetic modeling, and statistical methodology.

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Produktdetails

• Verlag: Springer US
• Seitenzahl: 289
• Erscheinungstermin: 6. Dezember 2012
• Englisch
• ISBN-13: 9781441990174
• Artikelnr.: 44179679

Inhaltsangabe

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.

Rezensionen

From the reviews: "The topics covered are mostly related to acoustic and language modeling for automatic speech recognition (ASR). ... I found the book very interesting. ... I would recommend it only to readers who are already familiar with statistical methods for language processing. I think that Mathematical Foundations of Speech and Language Processing is, nevertheless, a good reference about recent trends in the fields of ASR and language processing, which are indeed very relevant to current research in MT." (M. Federico, Machine Translation, Vol. 20, 2006)