Eigenstructure based pitch estimation in speech processing applications

Author

Andrews, M. Scott

Author_Institution

Star Semicond. Corp., Richardson, TX, USA

fYear

1992

Firstpage

1111

Abstract

The author continues the development of eigenstructure-based techniques for pitch detection and estimation in speech processing. The cepstral model and method are reviewed, and a noisy cepstral signal model is described. The effect of performing eigenanalysis on a logarithmically transformed sinusoid is analyzed. The noisy model and eigenanalysis results are combined. Some preliminary evaluations using speech data from the Texas Instruments Long Distance Telephone Pitch Detection database are given

Keywords

eigenvalues and eigenfunctions; spectral analysis; speech analysis and processing; Texas Instruments Long Distance Telephone Pitch Detection database; cepstral model; eigenanalysis; eigenstructure-based techniques; glottal pulse train; logarithmically transformed sinusoid; noisy cepstral signal model; pitch detection; pitch estimation; speech processing; Additive noise; Area measurement; Cepstral analysis; Deconvolution; Eigenvalues and eigenfunctions; Filtering; Frequency estimation; Noise measurement; Speech processing; Transducers;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-3160-0

Type

conf

DOI

10.1109/ACSSC.1992.269126

Filename

269126