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An improved cepstrum-based voicing detection and pitch determination algorithm is presented. Voicing decisions are made using a multifeature voiced/unvoiced classification algorithm based on statistical analysis of cepstral peak, zero-crossing rate, and energy of short-time segments of the speech signal. Pitch frequency information is extracted by a modified cepstrum-based method and then carefully refined using pitch tracking, correction, and smoothing algorithms. Performance analysis on a large database indicates considerable improvement relative to the conventional cepstrum method. The proposed algorithm is also shown to be robust to additive noise
Published in:
Speech and Audio Processing, IEEE Transactions on
(Volume:7
,
Issue:
3
)
Date of Publication: May 1999
- Page(s):
- 333 - 338
- ISSN :
- 1063-6676
- INSPEC Accession Number:
- 6244247
- Digital Object Identifier :
- 10.1109/89.759042
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- May 1999
- Sponsored by :
- IEEE Signal Processing Society
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