Automatic Speech Recognition: A Deep Learning Approach (Signals and Communication Technology) - Softcover

Yu, Dong; Deng, Li

Softcover

ISBN 10: 1447169670 ISBN 13: 9781447169673

Publisher: Springer, 2016

Synopsis

This book reviews past and present work on discriminative and hierarchical models for both acoustic and language modeling. It also analyzes the research direction and trends towards establishing future-generation speech recognition.

About this title

Review

“Deep Learning (DL) has demonstrated a phenomenal success in various AI applications. ... This book by two leading experts in Deep Learning is certainly a welcome addition to the literature of the field, particularly in automatic speech recognition. ... this book presents a very valuable vista of the state-of-art of Deep Learning, focusing on speech recognition applications.” (Robert Kozma, Mathematical Reviews, September, 2017)

“The book addresses real-world problems of current interest regarding automatic speech recognition. ... This book is useful for all researchers working in automatic speech recognition as well as in real-world applications of deep learning.” (Ruxandra Stoean, zbMATH 1356.68004, 2017)

From the Back Cover

This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.

Edition details

• Publisher: Springer
• Publication date: 2016
• ISBN 10: 1447169670
• ISBN 13: 9781447169673
• Binding: Paperback
• Language: English
• Number of pages: 347