Signal bias removal for robust telephone based speech recognition in adverse environments
- 17 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. i (15206149) , I/445-I/448
- https://doi.org/10.1109/icassp.1994.389260
Abstract
A speech signal transmitted through a telephone channel often encounters variable conditions which significantly deteriorate the performance of state-of-the-art HMM-based speech recognition systems. Undesirable components due to ambient noise and channel interference, as well as different sound pick-up equipments, render the recognizer unsuitable for real-world applications. This paper presents a signal bias removal method based on the maximum likelihood estimation for the minimization of these undesirable effects. The proposed method, integrated into a discrete density HMM, is applied to telephone speech recognition where the contamination due to ambient noise and channel distortion are assumed to be unknown. Experimental results are presented for speaker-independent connected digit recognition which demonstrate a reduction in the word error rate by up to 40%.Keywords
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