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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 期刊論文 >  Noisy speech recognition by using variance adapted hidden Markov models

    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/26279

    Title: Noisy speech recognition by using variance adapted hidden Markov models
    Authors: Chien,Jen-Tzung;Lee,Lee-Min;Wang,Hsiao-Chuan
    教師: 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.
    URI: http://www.ieee.org/
    Appears in Collections:[電機工程學系] 期刊論文

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