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Noise Suppression with High Speech Quality Based on Weighted Noise Estimation and MMSE STSA
Masanori KATO Akihiko SUGIYAMA Masahiro SERIZAWA
IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences
Publication Date: 2002/07/01
Print ISSN: 0916-8508
Type of Manuscript: PAPER
Category: Digital Signal Processing
noise suppression, speech enhancement, noise estimation, short time spectral amplitude,
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A noise suppression algorithm with high speech quality based on weighted noise estimation and MMSE STSA is proposed. The proposed algorithm continuously updates the estimated noise by weighted noisy speech in accordance with an estimated SNR. The spectral gain is modified with the estimated SNR so that it can better utilize the improvement in noise estimation. With a better noise estimate, a more correct SNR is obtained resulting in the enhanced speech with low distortion. Subjective evaluation results show that five-grade mean opinion scores of the new algorithm with and without a speech codec are improved by as much as 0.35 and 0.40 respectively, compared with either the original MMSE STSA or the EVRC noise suppression algorithm.