Decomposition of voiced speech into all-pole filter and sinusoidal excitation

Author

Holmes, W. Harvey ; Malik, Najam

Author_Institution

Sch. of Electr. Eng. & Telecommun., Univ. of New South Wales, Sydney, NSW, Australia

Volume

1

fYear

1999

fDate

1999

Firstpage

39

Abstract

We discuss a method for extracting simultaneously both the formant information and the voiced components of a speech signal. The formant information is assumed to reside in the filter which models the vocal tract, and the voiced components are assumed to be the periodic components of the vocal tract excitation signal. These two distinct pieces of information can be used in many areas of speech processing, including low bit rate speech coding, speech recognition, and speech enhancement

Keywords

feature extraction; filtering theory; linear predictive coding; poles and zeros; speech coding; speech enhancement; speech recognition; all-pole filter; formant information; hybrid linear prediction-sinusoidal coders; iterative formulas; linear prediction based speech coders; low bit rate speech coding; periodic components; sinusoidal excitation; speech enhancement; speech processing; speech recognition; speech signal; vocal tract excitation signal; vocal tract model; voiced components; voiced speech decomposition; Australia; Data mining; Equations; Finite impulse response filter; Fourier series; Frequency; Information filtering; Information filters; Signal processing; Speech;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Its Applications, 1999. ISSPA '99. Proceedings of the Fifth International Symposium on

Conference_Location

Brisbane, Qld.

Print_ISBN

1-86435-451-8

Type

conf

DOI

10.1109/ISSPA.1999.818107

Filename

818107