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Probabilistic vector mapping with trajectory information for noise-robust speech recognition

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2 Author(s)
Kim, D.Y. ; Commun. Res. Lab., Korea Adv. Inst. of Sci. & Technol., Seoul, South Korea ; Un, C.K.

The authors propose a probabilistic vector mapping method with trajectory information for noise-robust speech recognition. The proposed method estimates a speech vector using not only the current noisy vector but also adjacent vectors in the form of a trajectory pattern. According to our isolated word recognition experiment, the new method yields a better recognition rate than the probabilistic vector mapping method previously proposed

Published in:

Electronics Letters  (Volume:32 ,  Issue: 17 )

Date of Publication:

15 Aug 1996

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