Discriminative Learning for Speech Recognition Download

Author: Xiaodong He
Edition:
Binding: Paperback
ISBN: 1598293087

Discriminative Learning for Speech Recognition: Theory and Practice

In this book, we introduce the background and mainstream methods of probabilistic modeling and discriminative parameter optimization for speech recognition. Get Discriminative Learning for Speech Recognition computer books for free.
The specific models treated in depth include the widely used exponential-family distributions and the hidden Markov model. A detailed study is presented on unifying the common objective functions for discriminative learning in speech recognition, namely maximum mutual information (MMI), minimum classification error, and minimum phone/word error. The unification is presented, with rigorous mathematical analysis, in a common rational-function form. This common form enables the use of the growth transformation (or extended Baum-Welch) optimization framework in discriminative learning of model Check Discriminative Learning for Speech Recognition our best computer books for 2013. All books are available in pdf format and downloadable from rapidshare, 4shared, and mediafire.