Abstract
Recognition of speech in extreme noisy environments is a difficult task. A new approach is suggested to enhance the performance of recognition in very low SNRs. The Weighted State Probabilities (WSP) method considers the heuristic state pattern recognition based on the left to right HMM configuration and the standard probability of getting the given observation sequence. On a ten digits (Hebrew) recognition task, with SNR of 10 db, the WSP has improved recognition results from 0% to 50%. It is suggested to apply the method, in conjunction with PMC enhancement algorithm, to very low SNR word spotting systems.
| Original language | English |
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| Pages | 98-101 |
| Number of pages | 4 |
| State | Published - 1 Dec 1996 |
| Event | Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel - Jerusalem, Isr Duration: 5 Nov 1996 → 6 Nov 1996 |
Conference
| Conference | Proceedings of the 1996 19th Convention of Electrical and Electronics Engineers in Israel |
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| City | Jerusalem, Isr |
| Period | 5/11/96 → 6/11/96 |
ASJC Scopus subject areas
- General Engineering