Abstract
This work proposes a threshold adaptation method to detect speaker's location in a vehicular environment. The method is robust to unmodeled sound source locations in a noisy environment and uses a single linear microphone array. The proposed approach is an improvement over previous work [12] which adopts Gaussian mixture models (GMMs) to model location-dependent but content and speaker independent acoustic characteristics of sound sources. Experimental results show that this scheme can overcome the far-filed and near-riled problem with the same architecture and perform well in both line-of-sight and non-line-of-sight cases.
| Original language | English |
|---|---|
| Title of host publication | 2006 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2 |
| Publisher | IEEE |
| Pages | 274-+ |
| ISBN (Print) | 978-1-4244-0310-3 |
| State | Published - 8 Oct 2006 |
Keywords
- Microphone array
- sound locatization
- GMM
- HCI
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Cite this
Hu, J-S., Cheng, C-C., Liu, W-H., & Yang, C. H. (2006). Robust statistical-based speaker's location detection algorithm in a vehicular environment. In 2006 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, VOLS 1 AND 2 (pp. 274-+). IEEE.