Inter-frequency dependency in MMSE speech enhancement
(2004) 6th Nordic Signal Processing Symposium (NORSIG 2004) 46. p.200-203- Abstract
- In this paper an MMSE estimator of the complex shortime spectrum is considered for optimum noise reduction of speech. The correlation between frequency components is exploited to improve the estimation, especially of those components with low local SNR. Furthermore, by making use of both spectral envelope and time envelope, the estimator is able to suppress noise power infrequency domain and lime domain simultaneously. The performance of the resulting estimator is found to be superior to the non-causal IN Wiener filter The enhanced signal suffers less spectral distortion, while achieving a lower mean squared error than the Wiener filter.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4092545
- author
- Li, CJ and Andersen, Sören Vang LU
- publishing date
- 2004
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- NORSIG 2004: PROCEEDINGS OF THE 6TH NORDIC SIGNAL PROCESSING SYMPOSIUM
- volume
- 46
- pages
- 200 - 203
- publisher
- HELSINKI UNIVERSITY TECHNOLOGY
- conference name
- 6th Nordic Signal Processing Symposium (NORSIG 2004)
- conference dates
- 2004-06-09 - 2004-06-11
- external identifiers
-
- wos:000225463400051
- scopus:12144283194
- ISSN
- 1458-6401
- language
- English
- LU publication?
- no
- id
- 28b7f3f0-0154-428b-8af6-43c2d3e60b49 (old id 4092545)
- date added to LUP
- 2016-04-01 16:31:40
- date last changed
- 2022-01-28 20:23:07
@inproceedings{28b7f3f0-0154-428b-8af6-43c2d3e60b49, abstract = {{In this paper an MMSE estimator of the complex shortime spectrum is considered for optimum noise reduction of speech. The correlation between frequency components is exploited to improve the estimation, especially of those components with low local SNR. Furthermore, by making use of both spectral envelope and time envelope, the estimator is able to suppress noise power infrequency domain and lime domain simultaneously. The performance of the resulting estimator is found to be superior to the non-causal IN Wiener filter The enhanced signal suffers less spectral distortion, while achieving a lower mean squared error than the Wiener filter.}}, author = {{Li, CJ and Andersen, Sören Vang}}, booktitle = {{NORSIG 2004: PROCEEDINGS OF THE 6TH NORDIC SIGNAL PROCESSING SYMPOSIUM}}, issn = {{1458-6401}}, language = {{eng}}, pages = {{200--203}}, publisher = {{HELSINKI UNIVERSITY TECHNOLOGY}}, title = {{Inter-frequency dependency in MMSE speech enhancement}}, volume = {{46}}, year = {{2004}}, }