Speech enhancement with natural sounding residual noise based on connected time-frequency speech presence regions
(2005) In Eurasip Journal on Applied Signal Processing 2005(18).- Abstract
- We propose time-frequency domain methods for noise estimation and speech enhancement. A speech presence detection method is used to find connected time-frequency regions of speech presence. These regions are used by a noise estimation method and both the speech presence decisions and the noise estimate are used in the speech enhancement method. Different attenuation rules are applied to regions with and without speech presence to achieve enhanced speech with natural sounding attenuated background noise. The proposed speech enhancement method has a computational complexity, which makes it feasible for application in hearing aids. An informal listening test shows that the proposed speech enhancement method has significantly higher mean... (More)
- We propose time-frequency domain methods for noise estimation and speech enhancement. A speech presence detection method is used to find connected time-frequency regions of speech presence. These regions are used by a noise estimation method and both the speech presence decisions and the noise estimate are used in the speech enhancement method. Different attenuation rules are applied to regions with and without speech presence to achieve enhanced speech with natural sounding attenuated background noise. The proposed speech enhancement method has a computational complexity, which makes it feasible for application in hearing aids. An informal listening test shows that the proposed speech enhancement method has significantly higher mean opinion scores than minimum mean-square error log-spectral amplitude (MMSE-LSA) and decision-directed MMSE-LSA. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4092530
- author
- Sorensen, KV and Andersen, Sören Vang LU
- publishing date
- 2005
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- speech enhancement, noise estimation, minimum statistics, speech, presence detection
- in
- Eurasip Journal on Applied Signal Processing
- volume
- 2005
- issue
- 18
- article number
- 305909
- publisher
- Hindawi Limited
- external identifiers
-
- wos:000235836400005
- scopus:33751294092
- ISSN
- 1110-8657
- DOI
- 10.1155/ASP.2005.2954
- language
- English
- LU publication?
- no
- id
- dcb660a2-34e5-44a9-9d99-4c5512ec2630 (old id 4092530)
- date added to LUP
- 2016-04-01 16:04:33
- date last changed
- 2022-01-28 17:06:19
@article{dcb660a2-34e5-44a9-9d99-4c5512ec2630,
abstract = {{We propose time-frequency domain methods for noise estimation and speech enhancement. A speech presence detection method is used to find connected time-frequency regions of speech presence. These regions are used by a noise estimation method and both the speech presence decisions and the noise estimate are used in the speech enhancement method. Different attenuation rules are applied to regions with and without speech presence to achieve enhanced speech with natural sounding attenuated background noise. The proposed speech enhancement method has a computational complexity, which makes it feasible for application in hearing aids. An informal listening test shows that the proposed speech enhancement method has significantly higher mean opinion scores than minimum mean-square error log-spectral amplitude (MMSE-LSA) and decision-directed MMSE-LSA.}},
author = {{Sorensen, KV and Andersen, Sören Vang}},
issn = {{1110-8657}},
keywords = {{speech enhancement; noise estimation; minimum statistics; speech; presence detection}},
language = {{eng}},
number = {{18}},
publisher = {{Hindawi Limited}},
series = {{Eurasip Journal on Applied Signal Processing}},
title = {{Speech enhancement with natural sounding residual noise based on connected time-frequency speech presence regions}},
url = {{http://dx.doi.org/10.1155/ASP.2005.2954}},
doi = {{10.1155/ASP.2005.2954}},
volume = {{2005}},
year = {{2005}},
}