Abstract
EMG-based VAD is proposed. It is generally known that EMG signals are not affected by acoustic noise and preceding voice. Robust but preceding detection of speech can be expected by using these features. The proposed method extracts one VAD parameter to judge speech or silence from among n EMG signal channels. Experiments are performed to confirm the effectiveness of the proposed method. The results show that some EMG signals reliably precede voice by 30ms or more. Compared with conventional audio VAD, the proposed method seldom drops the speech head and the method's performance is relatively insensitive to background noise.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 |
| Pages | 5812-5815 |
| Number of pages | 4 |
| Publication status | Published - 2005 Dec 1 |
| Event | 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China Duration: 2005 Sep 1 → 2005 Sep 4 |
Publication series
| Name | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
|---|---|
| Volume | 7 VOLS |
| ISSN (Print) | 0589-1019 |
Conference
| Conference | 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 |
|---|---|
| Country | China |
| City | Shanghai |
| Period | 05/9/1 → 05/9/4 |
Keywords
- EMG
- Speech
- VAD (voice activity detection)
ASJC Scopus subject areas
- Signal Processing
- Biomedical Engineering
- Computer Vision and Pattern Recognition
- Health Informatics
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Cite this
Manabe, H., & Fukumoto, M. (2005). Robust and preceding speech detection using EMG. In Proceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 (pp. 5812-5815). [1615810] (Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings; Vol. 7 VOLS).