New Era for Robust Speech Recognition: Exploiting Deep Learning

Author:   Shinji Watanabe ,  Marc Delcroix ,  Florian Metze ,  John R. Hershey
Publisher:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
ISBN:  

9783319878492


Pages:   436
Publication Date:   24 May 2018
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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New Era for Robust Speech Recognition: Exploiting Deep Learning


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Overview

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.

Full Product Details

Author:   Shinji Watanabe ,  Marc Delcroix ,  Florian Metze ,  John R. Hershey
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 1st ed. 2017
Dimensions:   Width: 15.50cm , Height: 2.30cm , Length: 23.50cm
Weight:   0.694kg
ISBN:  

9783319878492


ISBN 10:   3319878492
Pages:   436
Publication Date:   24 May 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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.

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