Summary
|
For Full-Text PDF, please login, if you are a member of IEICE, or go to Pay Per View on menu list, if you are a nonmember of IEICE. |
|
Noise Suppression with High Speech Quality Based on Weighted Noise Estimation and MMSE STSA Masanori KATO Akihiko SUGIYAMA Masahiro SERIZAWA Publication IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Vol.E85-A No.7 pp.1710-1718 Publication Date: 2002/07/01 Online ISSN: DOI: Print ISSN: 0916-8508 Type of Manuscript: PAPER Category: Digital Signal Processing Keyword: noise suppression, speech enhancement, noise estimation, short time spectral amplitude, Full Text: PDF(591.8KB)>>
Summary: 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. | ||||||||||
| ||||||||||