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Improvement of the speech recognition in noisy environments using a nonparametric regression

โœ Scribed by Amrouche, A.; Taleb-Ahmed, A.; Rouvaen, J.M.; Yagoub, M.C.E.

Book ID
111931708
Publisher
Taylor and Francis Group
Year
2009
Tongue
English
Weight
504 KB
Volume
24
Category
Article
ISSN
1744-5760

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Improvement of noisy speech recognition
Improvement of noisy speech recognition using a proportional alignment decoding algorithm in the training phase
โœ Wei-Wen Hung; Hsiao-Chuan Wang ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 670 KB

Modelling the state duration of hidden Markov models (HMMs) can effectively improve the accuracy in decoding the state sequence of an utterance and result in an improvement of speech recognition accuracy. However, when a speech signal is contaminated by ambient noise, the decoded state sequence may