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Speech Processing in Mobile EnvironmentsVowel Onset Point Detection from Coded and Noisy Speech

Speech Processing in Mobile Environments: Vowel Onset Point Detection from Coded and Noisy Speech [Most of the existing vowel onset point (VOP) detection methods are developed for clean speech. In this chapter, we propose methods for detection of VOPs in the presence of speech coding and background noise conditions. VOP detection method for coded speech is based on the spectral energy between 500 and 2,500 Hz frequency band of the speech segments present in glottal closure region. In case of noisy speech, the proposed VOP detection method exploits the spectral energy at the formant locations of the speech segments present in glottal closure region. The proposed VOP detection methods are evaluated using objective measures and consonant vowel (CV) unit recognition experiments.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Speech Processing in Mobile EnvironmentsVowel Onset Point Detection from Coded and Noisy Speech

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Publisher
Springer International Publishing
Copyright
© Springer International Publishing Switzerland 2014
ISBN
978-3-319-03115-6
Pages
17 –42
DOI
10.1007/978-3-319-03116-3_3
Publisher site
See Chapter on Publisher Site

Abstract

[Most of the existing vowel onset point (VOP) detection methods are developed for clean speech. In this chapter, we propose methods for detection of VOPs in the presence of speech coding and background noise conditions. VOP detection method for coded speech is based on the spectral energy between 500 and 2,500 Hz frequency band of the speech segments present in glottal closure region. In case of noisy speech, the proposed VOP detection method exploits the spectral energy at the formant locations of the speech segments present in glottal closure region. The proposed VOP detection methods are evaluated using objective measures and consonant vowel (CV) unit recognition experiments.]

Published: Dec 20, 2013

Keywords: Vowel Onset Points (VOP); VOP Detection; Glottal Closure Instants (GCI); Epoch Locations; Group Delay Function

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