Name
Abstract | ||
|---|---|---|
This paper proposes an approach for Voice Activity Detection (VAD) based on the automatic measurement of gesturing. The main motivation of the work is that gestures have been shown to be tightly correlated with speech, hence they can be considered a reliable evidence that a person is talking. The use of gestures rather than speech for performing VAD can be helpful in many situation (e.g., surveillance and monitoring in public spaces) where speech cannot be obtained for technical, legal or ethical issues. The results show that the gesturing measurement approach proposed in this work achieves, on a frame-by-frame basis, an accuracy of 71 percent in distinguishing between speech and non-speech. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-31479-7_14 | Communications in Computer and Information Science |
Field | DocType | Volume |
Audio signal,Ethical issues,Gesture,Computer science,Voice activity detection,Speech recognition,Gesture analysis | Conference | 277 |
ISSN | Citations | PageRank |
1865-0929 | 10 | 0.73 |
References | Authors | |
10 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Cristani | 1 | 1928 | 109.03 |
| Anna Pesarin | 2 | 39 | 3.82 |
| Alessandro Vinciarelli | 3 | 1682 | 104.77 |
| Marco Crocco | 4 | 149 | 14.30 |
| Vittorio Murino | 5 | 3277 | 207.20 |