Handbook of Neural Networks for Speech Processing

Overview

Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.

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Overview

Here are the comprehensive details on cutting edge technologies employing neural networks for speech recognition and speech processing in modern communications. Going far beyond the simple speech recognition technologies on the market today, this new book, written by and for speech and signal processing engineers in industry, R&D, and academia, takes you to the forefront of the hottest emergent neural net-based speech processing techniques.

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Editorial Reviews

Booknews
Concentrating on the results of emerging and challenging studies on using artificial neural networks (ANNs) for speech processing, contributors to this volume presents researchers, engineers, and graduate-level students with some of the unfinished but promising technological developments taking place in the field. Organized into three parts, the volume begins with a section addressing basic information about speech processing technologies. Current issues in speech recognition are covered in the second section, including discriminative prototype-based methods for speech recognition, minimum classification error networks, and several other topics. Treatment of current issues in speech signal processing are presented in the last section, including speaker recognition, voice conversion, speech coding, and speech enhancement. Annotation c. Book News, Inc., Portland, OR (booknews.com)
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Product Details

  • ISBN-13: 9780890069547
  • Publisher: Artech House, Incorporated
  • Publication date: 10/1/2000
  • Series: Signal Processing Library Series
  • Edition number: 1
  • Pages: 541
  • Product dimensions: 6.39 (w) x 9.36 (h) x 1.34 (d)

Table of Contents

Introduction. Speech Signal and Its Production Model. Speech Recognition. Speech Coding. Discriminative Prototype-Based Methods for Speech Recognition. Recurrent Neural Networks for Speech Recognition. Time Delay Neural Nets and NN/HMM Hybrids - A Family of Connectionist Continuous Speech Recognition Systems. Probability-Oriented Neural Networks and Hybrid Connectionist/Stochastic Networks. Minimum Classification Error Networks. Networks for Speaker Recognition. Neural Networks for Voice Conversion. Neural Networks for Speech Coding. Networks for Speech Enhancement.

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