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International Workshop on Hands-Free Speech Communication (HSC2001)April 9-11, 2001 |
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We define "speechness" as the possibility for speech sound in this paper. To separate speech and noise, or non-speech, is one of the important issues for speech recognition applications. We developed a noise rejection algorithm based on novel confidence measurement for speechness. This rejection algorithm is compact enough to implement into embedded systems [1].
We performed the evaluation experiments on 2.5-hour noise data and 3200-isolated-word database. As the evaluation results, a noise rejection ratio was 78%, a recognition rate decreased by only 0.14%. The rejection algorithm needs 2 kbytes memory additionally in our system, and the response time of the speech recognition increased by only 4.4%.
Bibliographic reference. Taniguchi, S. / Obuchi, Y. / Akio, A. / Hataoka, N. (2001): "Novel noise rejection using speechness score based on frame-level confidence measurement", In HSC2001, 179-182.