Abstract
Reverberation and noise cause significant deterioration of audio quality and intelligibility to signals recorded in acoustic environments. Bayesian dereverberation infers knowledge about the system by exploiting the statistical properties of speech and the acoustic channel. In Bayesian frameworks, the signal can be processed either sequentially using online methods or in a batch using offline methods. This paper compares the two approaches for blind speech dereverberation by means of a previously proposed batch approach and a novel sequential approach. Results show that while both methods have different advantages, online processing leads to a more flexible solution. ©2008 IEEE.
Original language | English |
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Title of host publication | 2008 IEEE International Symposium on Circuits and Systems, ISCAS 2008 |
Pages | 3226-3229 |
Number of pages | 4 |
DOIs | |
Publication status | Published - 2008 |
Event | 2008 IEEE International Symposium on Circuits and Systems - Seattle, WA, United States Duration: 18 May 2008 → 21 May 2008 |
Conference
Conference | 2008 IEEE International Symposium on Circuits and Systems |
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Abbreviated title | ISCAS 2008 |
Country/Territory | United States |
City | Seattle, WA |
Period | 18/05/08 → 21/05/08 |