DocumentCode
1371841
Title
Mixture IMM for speech enhancement under nonstationary noise
Author
Kang, SangKi ; Baek, Seongjoon ; Lee, Ki Yong ; Sung, Koeng-Mo
Author_Institution
Sch. of Electr. Eng., Seoul Nat. Univ., South Korea
Volume
8
Issue
5
fYear
2000
fDate
9/1/2000 12:00:00 AM
Firstpage
637
Lastpage
641
Abstract
A mixture interacting multiple model (MIMM) algorithm is proposed to enhance speech contaminated by additive nonstationary noise. In this approach, a mixture hidden filter model (HFM) is used for clean speech modeling and a single hidden filter is used for noise process modeling. The MIMM algorithm gives better enhancement results than the IMM algorithm. The results show that the proposed method offers performance gain compared to the previous results in with slightly increased complexity
Keywords
Kalman filters; Markov processes; acoustic noise; speech enhancement; HFM; MIMM algorithm; additive nonstationary noise; clean speech modeling; complexity; mixture IMM; mixture hidden filter model; mixture interacting multiple model; noise process modeling; nonstationary noise; performance gain; speech enhancement; Additive noise; Colored noise; Filters; Gaussian noise; Gaussian processes; Performance gain; Recursive estimation; Signal processing; Speech enhancement; Speech processing;
fLanguage
English
Journal_Title
Speech and Audio Processing, IEEE Transactions on
Publisher
ieee
ISSN
1063-6676
Type
jour
DOI
10.1109/89.861391
Filename
861391
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