Identification and reconstruction of the unvoiced component in speech

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

doi:10.1109/ACSSC.2000.911232

Identification and reconstruction of the unvoiced component in speech

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

Research output: Contribution to journal › Article

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 language	English (US)
Pages (from-to)	1459-1463
Number of pages	5
Journal	Conference Record of the Asilomar Conference on Signals, Systems and Computers
Volume	2
DOIs	https://doi.org/10.1109/ACSSC.2000.911232
State	Published - Jan 1 2000
Externally published	Yes

ASJC Scopus subject areas

Signal Processing
Computer Networks and Communications

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Kleijn, W. B., Jefremov, A., & Murthi, M. N. (2000). Identification and reconstruction of the unvoiced component in speech. Conference Record of the Asilomar Conference on Signals, Systems and Computers, 2, 1459-1463. https://doi.org/10.1109/ACSSC.2000.911232

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