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    NTHUR > College of Electrical Engineering and Computer Science > Department of Electrical Engineering > EE Journal / Magazine Articles  >  Noisy speech recognition by using variance adapted hidden Markov models

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    Title: Noisy speech recognition by using variance adapted hidden Markov models
    Authors: Chien,Jen-Tzung;Lee,Lee-Min;Wang,Hsiao-Chuan
    Teacher: 王小川
    Date: 1995
    Publisher: Institute of Electrical and Electronics Engineers
    Relation: ELECTRONICS LETTERS,  Volume 31MIssue 18,Pages 1555-1556,AUG 31 1995
    Keywords: Speech recognition
    Markov processes
    Mathematical models
    Spurious signal noise
    Abstract: © 1995 Institute of Electrical and Electronics Engineers - Shrinkage of variances in HMM due to additive noise is an important factor in speech recognition process. This variance shrinkage can be nonparametrically estimated from a training database. In the Letter we take this factor into account in the projection measure for noisy speech recognition. Experiments show that recognition rates can be improved significantly.
    Appears in Collections:[Department of Electrical Engineering] EE Journal / Magazine Articles

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