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Contemporary Methods for Speech Parameterization

  • Todor¬†Ganchev

Part of the SpringerBriefs in Electrical and Computer Engineering book series

Also part of the SpringerBriefs in Speech Technology book sub series (BRIEFSSPEECHTECH)

Table of contents

  1. Front Matter
    Pages i-x
  2. Back Matter
    Pages 107-114

About this book

Introduction

Contemporary Methods for Speech Parameterization offers a general view of short-time cepstrum-based speech parameterization and provides a common ground for further in-depth studies on the subject. Specifically, it offers a comprehensive description, comparative analysis, and empirical performance evaluation of eleven contemporary speech parameterization methods, which compute short-time cepstrum-based speech features.

Among these are five discrete wavelet packet transform (DWPT)-based, six discrete Fourier transform (DFT)-based speech features and some of their variants which have been used on the speech recognition, speaker recognition, and other related speech processing tasks. The main similarities and differences in their computation are discussed and empirical results from performance evaluation in common experimental conditions are presented. The recognition accuracy obtained on the monophone recognition, continuous speech recognition and speaker recognition tasks is contrasted against the one obtained for the well-known and widely used Mel Frequency Cepstral Coefficients (MFCC).

It is shown that many of these methods lead to speech features that do offer competitive performance on a certain speech processing setup when compared to the venerable MFCC. The last does not target the promotion of certain speech features but instead aims to enhance the common understanding about the advantages and disadvantages of the various speech parameterization techniques available today and to provide the basis for selection of an appropriate speech parameterization in each particular case.

Keywords

Cepstral coefficients Fourier transforms Speaker recognition Speech parameterization Speech recognition Wavelet packets

Authors and affiliations

  • Todor¬†Ganchev
    • 1
  1. 1.Wire Communications Laboratory, Dept. Electrical & Computer EngineeringUniversity of PatrasRion-PatrasGreece

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4419-8447-0
  • Copyright Information Springer Science+Business Media, LLC 2011
  • Publisher Name Springer, New York, NY
  • eBook Packages Engineering
  • Print ISBN 978-1-4419-8446-3
  • Online ISBN 978-1-4419-8447-0
  • Buy this book on publisher's site
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