Abstract : We present a frame-synchronous noise compensation algorithm that uses Stochastic Matching approach to cope with time-varying unknown noise. This method proposes to estimate simple mapping function in parallel with Viterbi alignment. The technique is entirely general since no assumption is made on the nature, level and variation of noise. Our algorithm is evaluated on the VODIS database recorded in a moving car. For various tasks, our technique outperforms significantly classical methods. For instance, using the affine transformation the proposed algorithm gives an error rate improvement of 13.3% compared to Parallel Model Combination (PMC), 15.5% on Spectral Subtraction (SS) and 27.8% on frame-synchronous Mean Cepstre Removal (MCR) for the numbers recognition task in real noise.
https://hal.inria.fr/inria-00099790
Contributeur : Publications Loria
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Soumis le : mardi 26 septembre 2006 - 09:41:15
Dernière modification le : jeudi 11 janvier 2018 - 06:19:57
Vincent Barreaud, Irina Illina, Dominique Fohr. On-Line Frame-Synchronous Compensation of Non-Stationary noise. The 2003 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP 2003, Apr 2003, Hong Kong, Chine, 4 p, 2003. 〈inria-00099790〉
