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New era for robust speech recognitionexploiting deep learning /

Record Type:	Electronic resources : Monograph/item
Title/Author:	New era for robust speech recognitionedited by Shinji Watanabe ... [et al.].
Reminder of title:	exploiting deep learning /
other author:	Watanabe, Shinji.
Published:	Cham :Springer International Publishing :2017.
Description:	xvii, 436 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Automatic speech recognition.
Online resource:	http://dx.doi.org/10.1007/978-3-319-64680-0
ISBN:	9783319646800$q(electronic bk.)

New era for robust speech recognitionexploiting deep learning /
New era for robust speech recognitionexploiting deep learning /[electronic resource] :edited by Shinji Watanabe ... [et al.]. - Cham :Springer International Publishing :2017. - xvii, 436 p. :ill., digital ;24 cm.

Speech and Language Processing -- Automatic Speech Recognition (ASR) -- Recent Applications -- Signal-Processing-Based Front-End for Robust ASR -- Generative Model-Based Speech Enhancement -- Denoising Autoencoder -- Discriminative Microphone Array Enhancement -- Learning Robust Feature Representation -- Training Data Augmentation -- Adaptation and Augmented Features -- Novel Model Topologies -- Novel Objective Criteria -- Benchmark Data, Tools, and Systems.

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.

ISBN: 9783319646800$q(electronic bk.)

Standard No.: 10.1007/978-3-319-64680-0doiSubjects--Topical Terms:

184258
Automatic speech recognition.

LC Class. No.: TK7895.S65

Dewey Class. No.: 006.454

New era for robust speech recognitionexploiting deep learning /
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245 0 0 $a New era for robust speech recognition $h [electronic resource] : $b exploiting deep learning / $c edited by Shinji Watanabe ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2017.
300 $a xvii, 436 p. : $b ill., digital ; $c 24 cm.
505 0 $a Speech and Language Processing -- Automatic Speech Recognition (ASR) -- Recent Applications -- Signal-Processing-Based Front-End for Robust ASR -- Generative Model-Based Speech Enhancement -- Denoising Autoencoder -- Discriminative Microphone Array Enhancement -- Learning Robust Feature Representation -- Training Data Augmentation -- Adaptation and Augmented Features -- Novel Model Topologies -- Novel Objective Criteria -- Benchmark Data, Tools, and Systems.
520 $a 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.
650 0 $a Automatic speech recognition. $3 184258
650 1 4 $a Computer Science. $3 212513
650 2 4 $a Artificial Intelligence (incl. Robotics) $3 252959
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Language Translation and Linguistics. $3 274469
650 2 4 $a Linguistics, general. $3 739809
700 1 $a Watanabe, Shinji. $3 794443
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-64680-0
950 $a Computer Science (Springer-11645)