Overview
- Provides numerous illustrations and comparative descriptions, which facilitate understanding of the properties and range of applicability of each speech parameterization technique
Part of the book series: SpringerBriefs in Speech Technology (BRIEFSSPEECHTECH)
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Table of contents (1 chapter)
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Front Matter
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Back Matter
Keywords
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Contemporary Methods for Speech Parameterization
Authors: Todor Ganchev
Series Title: SpringerBriefs in Speech Technology
DOI: https://doi.org/10.1007/978-1-4419-8447-0
Publisher: Springer New York, NY
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer Science+Business Media, LLC 2011
Softcover ISBN: 978-1-4419-8446-3Published: 10 August 2011
eBook ISBN: 978-1-4419-8447-0Published: 10 August 2011
Series ISSN: 2191-737X
Series E-ISSN: 2191-7388
Edition Number: 1
Number of Pages: X, 114
Number of Illustrations: 9 b/w illustrations, 23 illustrations in colour
Topics: Signal, Image and Speech Processing, Natural Language Processing (NLP), User Interfaces and Human Computer Interaction