Name
Abstract | ||
|---|---|---|
In this paper, we address the problem of speech activity detection in multimodal perceptive environments. Such space may contain many different microphones (lapel, distant or table top). Thus, we need a generic speech activity detector in order to cope with different speech conditions (from close-talking to noisy distant speech). Moreover, as the number of microphones in the room can be high, we also need a very light system. The speech activity detector presented in this article works efficiently on dozens of microphones in parallel. We will see that even if its absolute score of the evaluation is not perfect (30% and 40% of error rate respectively on the two tasks), its accuracy is good enough in the context we are using it. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11965152_30 | MLMI |
Keywords | Field | DocType |
error rate,speech detection,speech activity detection | Speech processing,False alarm,Voice activity detection,Computer science,Word error rate,Signal-to-noise ratio,Microphone array,Speech recognition,Detector,Microphone | Conference |
Volume | ISSN | ISBN |
4299 | 0302-9743 | 3-540-69267-3 |
Citations | PageRank | References |
1 | 0.36 | 9 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dominique Vaufreydaz | 1 | 67 | 11.96 |
| Rémi Emonet | 2 | 61 | 7.60 |
| Patrick Reignier | 3 | 379 | 45.38 |