Title :
Speech enhancement using a minimum mean-square error log-spectral amplitude estimator
Author :
Ephraim, Y. ; Malah, D.
Author_Institution :
Stanford University, Stanford, CA, USA
fDate :
4/1/1985 12:00:00 AM
Abstract :
In this correspondence we derive a short-time spectral amplitude (STSA) estimator for speech signals which minimizes the mean-square error of the log-spectra (i.e., the original STSA and its estimator) and examine it in enhancing noisy speech. This estimator is also compared with the corresponding minimum mean-square error STSA estimator derived previously. It was found that the new estimator is very effective in enhancing the noisy speech, and it significantly improves its quality.
Keywords :
Acoustic distortion; Additive noise; Amplitude estimation; Distortion measurement; Signal processing; Signal processing algorithms; Speech enhancement; Speech processing; Speech recognition; Vector quantization;
Journal_Title :
Acoustics, Speech and Signal Processing, IEEE Transactions on
DOI :
10.1109/TASSP.1985.1164550