Bayesian Speech and Language Processing
Author | : | |
Rating | : | 4.53 (976 Votes) |
Asin | : | 1107055571 |
Format Type | : | paperback |
Number of Pages | : | 445 Pages |
Publish Date | : | 2017-03-14 |
Language | : | English |
DESCRIPTION:
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. With this comprehensive guide you will learn how to apply Bayesian machine learning techniques systematically to solve various problems in speech and language processing. 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. A range of statistical models is detailed, from hidden Markov models to Gaussian mixture models,
Four Stars It is a very useful reference for speech processing
"This book provides an overview of a wide range of fundamental theories of Bayesian learning, inference, and prediction for uncertainty modeling in speech and language processing. This is the most advanced and comprehensive book for learning fundamental Bayesian approaches and practical techniques." Sadaoki Furui, Tokyo Institute of Technology . The uncertainty modeling is crucial in increasing the robustness of practical systems based on statistical modeling under real environments, such as automatic speech recognition systems under noise, and question answering systems based on limited size of training data
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 received the Distinguished Research Award from the Ministry of Scie