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Bayesian Speech and Language Processing

Af: Shinji Watanabe, Jen-Tzung Chien Engelsk Hardback

Bayesian Speech and Language Processing

Af: Shinji Watanabe, Jen-Tzung Chien Engelsk Hardback
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With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models and latent topic models, along with applications including automatic speech recognition, speaker verification, and information retrieval. Approximate Bayesian inferences based on MAP, Evidence, Asymptotic, VB, and MCMC approximations are provided as well as full derivations of calculations, useful notations, formulas, and rules. The authors address the difficulties of straightforward applications and provide detailed examples and case studies to demonstrate how you can successfully use practical Bayesian inference methods to improve the performance of information systems. This is an invaluable resource for students, researchers, and industry practitioners working in machine learning, signal processing, and speech and language processing.
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With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models, n-gram models and latent topic models, along with applications including automatic speech recognition, speaker verification, and information retrieval. Approximate Bayesian inferences based on MAP, Evidence, Asymptotic, VB, and MCMC approximations are provided as well as full derivations of calculations, useful notations, formulas, and rules. The authors address the difficulties of straightforward applications and provide detailed examples and case studies to demonstrate how you can successfully use practical Bayesian inference methods to improve the performance of information systems. This is an invaluable resource for students, researchers, and industry practitioners working in machine learning, signal processing, and speech and language processing.
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Produktdetaljer
Sprog: Engelsk
Sider: 445
ISBN-13: 9781107055575
Indbinding: Hardback
Udgave:
ISBN-10: 1107055571
Kategori: Sandsynlighedsregning og statistik
Udg. Dato: 15 jul 2015
Længde: 24mm
Bredde: 180mm
Højde: 257mm
Forlag: Cambridge University Press
Oplagsdato: 15 jul 2015
Forfatter(e): Shinji Watanabe, Jen-Tzung Chien
Forfatter(e) Shinji Watanabe, Jen-Tzung Chien

Kategori Sandsynlighedsregning og statistik

ISBN-13 9781107055575

Sprog Engelsk

Indbinding Hardback

Sider 445

Udgave

Længde 24mm

Bredde 180mm

Højde 257mm

Udg. Dato 15 jul 2015

Oplagsdato 15 jul 2015

Forlag Cambridge University Press