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Classification of Speech Data

  • Jonathan Harrington
  • Steve Cassidy
Part of the Text, Speech and Language Technology book series (TLTB, volume 8)

Abstract

We have seen in previous chapters that a given acoustic parameter, such as zero-crossing-rate, the first formant frequency, or root-mean-square energy, can be used to differentiate between classes of speech sounds. In many cases, it takes a combination of parameters to separate different classes of speech sounds. For example, vowels of different phonetic quality require at the very least not just the first formant frequency but a combination of the first two formants for their separation; similarly, classes of fricatives such as [s], [∫], and [θ] can be quite effectively separated in a plane of two parameters based on the first two cepstral coefficients, as we saw in Chapter 6.

Keywords

Discriminant Function Parameter Vector Formant Frequency Decision Boundary Speech Sound 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1999

Authors and Affiliations

  • Jonathan Harrington
    • 1
  • Steve Cassidy
    • 1
  1. 1.Speech Hearing and Language Research CentreMacquarie UniversitySydneyAustralia

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