Name
Abstract | ||
|---|---|---|
This paper addresses the tracking capability of blind source separation algorithms for rapidly time-varying sensor or source positions. Based on a known algorithm for blind source separation, which also allows for simultaneous localization of multiple active sources in reverberant environments, the source separation performance will be investigated for abrupt microphone array rotations representing the worst case. After illustrating the deficiencies in source-tracking with the given efficient implementation of the BSS algorithm, a method to ensure robust source separation even with abrupt microphone array rotations is proposed. Experimental results illustrate the efficiency of the proposed concept. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74494-8_70 | ICA |
Keywords | Field | DocType |
bss algorithm,source separation performance,blind source separation algorithm,source position,known algorithm,robust source separation,multiple active source,abrupt microphone array rotation,abrupt microphone array,blind source separation,acoustic scene,shadow bss | Computer vision,Shadow,Computer science,Speech recognition,Microphone array,Independent component analysis,Artificial intelligence,Blind signal separation,Source separation | Conference |
Volume | ISSN | ISBN |
4666 | 0302-9743 | 3-540-74493-2 |
Citations | PageRank | References |
1 | 0.35 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Wehr | 1 | 1 | 0.35 |
| A. Lombard | 2 | 1 | 0.35 |
| Herbert Buchner | 3 | 435 | 40.57 |
| W. Kellermann | 4 | 686 | 71.03 |