Name
Abstract | ||
|---|---|---|
An efficient noise reduction algorithm is proposed to improve speech recognition performance for human machine interfaces. In the algorithm, a probabilistic adaptation mode controller (AMC) is designed and adopted to the generalized sidelobe canceller (GSC). To detect target speech intervals, the proposed AMC calculates the inter-channel correlation and estimates speech absence probability (SAP). Based on the SAP, the adaptation mode of the adaptive filter in the GSC is decided. Experimental results show the proposed algorithm significantly improves speech recognition performances and signal-to-noise ratios in real noisy environments. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1587/transfun.E93.A.627 | IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES |
Keywords | Field | DocType |
speech enhancement, microphone array, beamforming | Noise reduction,Speech enhancement,Beamforming,Human–machine system,Control theory,Algorithm,Speech recognition,Microphone array,Adaptive filter,Probabilistic logic,Mathematics | Journal |
Volume | Issue | ISSN |
E93A | 3 | 0916-8508 |
Citations | PageRank | References |
6 | 0.62 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Seung Ho Han | 1 | 11 | 5.52 |
| J. Hong | 2 | 27 | 6.58 |
| Sangbae Jeong | 3 | 30 | 8.14 |
| Minsoo Hahn | 4 | 223 | 46.63 |