Title :
Eigenstructure based pitch estimation in speech processing applications
Author :
Andrews, M. Scott
Author_Institution :
Star Semicond. Corp., Richardson, TX, USA
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;
Conference_Titel :
Signals, Systems and Computers, 1992. 1992 Conference Record of The Twenty-Sixth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
0-8186-3160-0
DOI :
10.1109/ACSSC.1992.269126
