Shinji Watanabe, Jen-Tzung Chien (Taiwan National Chiao Tung University)

Bayesian Speech and Language Processing

• Gebundenes Buch

Produktbeschreibung

With this comprehensive guide readers will learn how they can apply Bayesian machine learning techniques systematically to solve speech and language processing problems. Including detailed practical explanations along with examples and case studies, this is an invaluable resource for students, researchers, and industry practitioners working in speech and language processing.

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Produktdetails

• Verlag: Cambridge University Press
• Seitenzahl: 445
• Erscheinungstermin: 15. Juli 2015
• Englisch
• Abmessung: 249mm x 173mm x 28mm
• Gewicht: 1030g
• ISBN-13: 9781107055575
• ISBN-10: 1107055571
• Artikelnr.: 42363044

Autorenporträt

Shinji Watanabe received his PhD from Waseda University in 2006. He has been a research scientist at NTT Communication Science Laboratories, a visiting scholar at Georgia Institute of Technology and a Senior Principal Member at Mitsubishi Electric Research Laboratories (MERL), as well as having been an Associate Editor of the IEEE Transactions on Audio Speech and Language Processing, and an elected member of the IEEE Speech and Language Processing Technical Committee. He has published more than 100 papers in journals and conferences, and received several awards including the best paper award from IEICE in 2003.

Inhaltsangabe

Part I. General Discussion: 1. Introduction
2. Bayesian approach
3. Statistical models in speech and language processing
Part II. Approximate Inference: 4. Maximum a posteriori approximation
5. Evidence approximation
6. Asymptotic approximation
7. Variational Bayes
8. Markov chain Monte Carlo.