DocumentCode
2494702
Title
Speech conversion and its application to alaryngeal speech enhancement
Author
Bi, Ning ; Qi, Yingyong
Author_Institution
Qualcomm. Inc., San Diego, CA, USA
Volume
2
fYear
1996
fDate
14-18 Oct 1996
Firstpage
1586
Abstract
In this work, two speech conversion algorithms, a vector quantization (VQ) based algorithm and a linear multivariate regression (LMR) based algorithm, were modified. The modifications were aimed at reducing the spectral distortion (bandwidth increase) in the VQ-based algorithm and the spectral discontinuity in the LMR-based algorithm. The modified algorithms were used for the enhancement of alaryngeal speech. Results of perceptual evaluations indicated that listeners generally preferred to listen to the enhanced speech samples
Keywords
hearing; spectral analysis; speech enhancement; vector quantisation; LMR-based algorithm; VQ-based algorithm; alaryngeal speech enhancement; linear multivariate regression based algorithm; perceptual evaluations; spectral discontinuity; spectral distortion; speech conversion algorithms; vector quantization based algorithm; Bandwidth; Cepstral analysis; Chirp; Land mobile radio; Quantization; Smoothing methods; Speech enhancement; Speech processing; Stability; Transfer functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing, 1996., 3rd International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-2912-0
Type
conf
DOI
10.1109/ICSIGP.1996.571190
Filename
571190
Link To Document