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Automatic Speech Recognition: A Deep Learning Approach
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.
Book Details
- Publisher: Springer
- Publish Date: Sep 10th, 2016
- Pages: 321
- Language: English
- Edition: Softcover Repri - undefined
- Dimensions: 9.21in - 6.14in - 0.72in - 1.07lb
- EAN: 9781447169673
- Categories: • Electronics - General• Acoustics & Sound• Data Science - General
Praise for this book
"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)