Experimental Comparison of Signal Subspace Based Noise Reduction Methods
Publication: Research - peer-review › Article in proceedings – Annual report year: 1999
The signal subspace approach for non-parametric speech enhancement is considered. Several algorithms have been proposed in the literature but only partly analyzed. Here, the different algorithms are compared, and the emphasis is put onto the limiting factors and practical behavior of the estimators. Experimental results show that the signal subspace approach may lead to a significant enhancement of the signal to noise ratio of the output signal.
| Original language | English |
|---|---|
| Title | Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing |
| Volume | 1 |
| Publication date | 1999 |
| Pages | 101-104 |
| ISBN (print) | 0-7803-5041-3 |
| DOIs | |
| State | Published |
Conference
| Conference | IEEE International Conference on Acoustics, Speech, and Signal Processing 1999 |
|---|---|
| Country | United States |
| City | Phoenix, AZ |
| Period | 15-03-99 → 19-03-99 |
| Internet address | http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=6110 |
Bibliographical note
Copyright: 2000 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE
| Citations | Web of Science® Times Cited: No match on DOI |
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