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| | ONLINE | ISSN | : | 1745-1361 | | PRINT | ISSN | : | 0916-8532 |
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| | IEICE Transactions on Information and Systems |
| E91.D (2008) , No. 3 pp.402-410 |
| [PDF (8518K)] [References]  |  | Please click this button non-subscribers to purchase a paper individually. |
 | Noise Suppression Based on Multi-Model Compositions Using Multi-Pass Search with Multi-Label N-gram Models
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| | 1) ATR Knowledge Science Laboratories
2) The Institute of Electronics, Information and Communication Engineers |
| (Manuscript received: June 25, 2007)
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| | SUMMARY We propose a noise suppression method based on multi-model compositions and multi-pass search. In real environments, input speech for speech recognition includes many kinds of noise signals. To obtain good recognized candidates, suppressing many kinds of noise signals at once and finding target speech is important. Before noise suppression, to find speech and noise label sequences, we introduce multi-pass search with acoustic models including many kinds of noise models and their compositions, their n-gram models, and their lexicon. Noise suppression is frame-synchronously performed using the multiple models selected by recognized label sequences with time alignments. We evaluated this method using the E-Nightingale task, which contains voice memoranda spoken by nurses during actual work at hospitals. The proposed method obtained higher performance than the conventional method. |
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| To cite this article: | | Takatoshi JITSUHIRO, Tomoji TORIYAMA and Kiyoshi KOGURE, “Noise Suppression Based on Multi-Model Compositions Using Multi-Pass Search with Multi-Label N-gram Models”, IEICE Trans. Inf. & Syst., Vol. E91.D, No. 3, pp.402-410, 2008 . | |
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| doi:10.1093/ietisy/e91-d.3.402 | | JOI JST.JSTAGE/transinf/E91.D.402 |
| Copyright (c) 2010 The Institute of Electronics, Information and Communication Engineers |
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