Bayesian Speech and Language Processing

A practical and comprehensive guide on how to apply Bayesian machine learning techniques to solve speech and language processing problems.

Sommario

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.

Info autore

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.Jen-Tzung Chien is with the Department of Electrical and Computer Engineering and the Department of Computer Science at the National Chiao Tung University, Taiwan, where he is now the University Chair Professor. He received the Distinguished Research Award from the Ministry of Science and Technology, Taiwan, and the Best Paper Award of the 2011 IEEE Automatic Speech Recognition and Understanding Workshop. He serves currently as an elected member of the IEEE Machine Learning for Signal Processing Technical Committee.

Riassunto

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.

Dettagli sul prodotto

• Autori: Jen-Tzung Chien, Jen-Tzung (National Chiao Tung University Chien, Chien Jen-Tzung, Shinji Watanabe, Shinji Chien Watanabe, Watanabe Shinji
• Editore: Cambridge University Press ELT
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 15.07.2015
• EAN: 9781107055575
• ISBN: 978-1-107-05557-5
• Pagine: 445
• Categorie: Scienze naturali, medicina, informatica, tecnica > Matematica > Teoria delle probabilità, stocastica, statistica matematica; Scienze umane, arte, musica > Scienze linguistiche e letterarie > Linguistica generale e comparata; TECHNOLOGY & ENGINEERING / Signals & Signal Processing, Probability & statistics, Communications engineering / telecommunications, Electronics & Communications Engineering, Natural language and machine translation, Speech recognition