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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Johansson, A.M. Lehmann, E.A. Nordholm, S. |
| Copyright Year | 2006 |
| Description | Author affiliation: Western Australian Telecommun. Res. Inst., Perth, WA (Johansson, A.M.) |
| Abstract | In noisy and reverberant environments, the problem of acoustic source localisation and tracking (ASLT) using an array of microphones presents a number of challenging difficulties. One of the main issues when considering real-world situations involving human speakers is the temporally discontinuous nature of speech signals: the presence of silence gaps in the speech can easily misguide the tracking algorithm, even in practical environments with low to moderate noise and reverberation levels. This work focuses on a realtime implementation of the ASLT algorithm, which circumvents this problem by integrating measurements from a voice activity detector (VAD) within the tracking algorithm framework. The algorithm is here optimized for low computational complexity, and is implemented on a PC based real-time system. The resulting computational load is calculated and is presented along with real measurements of the true execution speed for the considered algorithm implementation. The results show that the algorithm is suitable for implementation in currently existing low-power embedded systems |
| Starting Page | 1004 |
| Ending Page | 1007 |
| File Size | 140847 |
| Page Count | 4 |
| File Format | |
| ISBN | 1424403871 |
| DOI | 10.1109/APCCAS.2006.342257 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-04 |
| Publisher Place | Singapore |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Particle filters Acoustic signal detection Detectors Loudspeakers Particle tracking Working environment noise Microphone arrays Speech enhancement Acoustic noise Acoustic arrays |
| Content Type | Text |
| Resource Type | Article |
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