Comparison of noisy speech enhancement algorithms in terms of LPC perturbation

Author

Ahmed, Mohammed Sh

Author_Institution

Dept. of Syst. Eng., King Fahd Univ. of Pet. & Miner., Dhahran

Volume

37

Issue

1

fYear

1989

fDate

1/1/1989 12:00:00 AM

Firstpage

121

Lastpage

125

Abstract

A number of noisy speech enhancement algorithms are experimentally compared in terms of linear predictive coding (LPC) perturbations. The enhancement algorithms considered are simple spectral subtraction, spectral oversubtraction with use of a spectral floor, spectral subtraction with residual noise removal, and time-domain and frequency-domain adaptive minimum mean-square-error filtering. LPC perturbations considered are LPC cepstral distance, log likelihood ratios, and weighted likelihood ratio

Keywords

encoding; filtering and prediction theory; noise; spectral analysis; speech analysis and processing; LPC cepstral distance; LPC perturbation; adaptive minimum mean-square-error filtering; linear predictive coding; log likelihood ratios; noisy speech enhancement algorithms; residual noise removal; spectral floor; spectral oversubtraction; spectral subtraction; weighted likelihood ratio; Additive noise; Degradation; Filtering algorithms; Humans; Linear predictive coding; Noise reduction; Signal processing algorithms; Speech analysis; Speech enhancement; Speech recognition;

fLanguage

English

Journal_Title

Acoustics, Speech and Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

0096-3518

Type

jour

DOI

10.1109/29.17509

Filename

17509