Cepstrum-based pitch detection using a new statistical V/UV classification algorithm

Sassan Ahmadi, Andreas S. Spanias

Research output: Contribution to journalArticle

132 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)333-338
Number of pages6
JournalIEEE Transactions on Speech and Audio Processing
Volume7
Issue number3
DOIs
StatePublished - Jan 1 1999
Externally publishedYes

ASJC Scopus subject areas

  • Software
  • Acoustics and Ultrasonics
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

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