Title :
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
fDate :
1/1/1989 12:00:00 AM
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;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
