New Era for Robust Speech Recognition - Exploiting Deep Learning (Hardcover, 1st ed. 2017)

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. This book is intended for researchers and practitioners working in the field of speech processing and recognition who are interested in the latest deep learning techniques for noise robustness. It will also be of interest to graduate students in electrical engineering or computer science, who will find it a useful guide to this field of research.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	November 2017
First published:	2017
Editors:	Shinji Watanabe • Marc Delcroix • Florian Metze • John R. Hershey
Dimensions:	235 x 155mm (L x W)
Format:	Hardcover
Pages:	436
Edition:	1st ed. 2017
ISBN-13:	978-3-319-64679-4
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation Books > Computing & IT > Applications of computing > Audio processing > Speech recognition & synthesis
LSN:	3-319-64679-6
Barcode:	9783319646794

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