Identification and reconstruction of the unvoiced component in speech

W. Bastiaan Kleijn, Andrea Jefremov, Manohar N. Murthi

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

Speech is well described by a source-filter model. The source properties are critical for good quality reconstructed speech. We describe a source model which facilitates both low-rate coding and signal modification. The source signal is described by means of pitch-synchronous frame expansions, with different subsets of the coefficients corresponding to so-called voiced and unvoiced components. To obtain a perceptually plausible voiced-unvoiced decomposition even at speech on-sets, our frame functions adapt to the signal. The generation of the unvoiced component consists of the replacement of the corresponding coefficients with realizations of a random variable with similar statistics. Existing sinusoidal and waveform-interpolation excitation models form approximations to the presented procedure.

Original languageEnglish (US)
Pages (from-to)1459-1463
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
Volume2
DOIs
StatePublished - Jan 1 2000
Externally publishedYes

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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