Discriminative Learning For Speech Processing

Introduces the background and mainstream methods of probabilistic modelling and discriminative parameter optimization for speech recognition. 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.