Speech enhancement by joint statistical characterization in the Log Gabor Wavelet domain

Author:

Senapati Suman,Chakroborty Sandipan,Saha Goutam

Publisher

Elsevier BV

Subject

Computer Science Applications,Computer Vision and Pattern Recognition,Linguistics and Language,Language and Linguistics,Communication,Modelling and Simulation,Software

Reference34 articles.

1. Acero, A., Deng, L., Kristjansson, T., Zhang, J., 2000. HMM adaption using vector Taylor series for noisy speech recognition. In: ICSLP, Bejing, pp. 869–872.

2. Enhancement of speech corrupted by acoustic noise;Berouti;IEEE ICASSP,1979

3. Suppression of acousitc noise in speech using spectral subtration;Boll;IEEE ASSP,1979

4. Brehm, H., 1982. Description of spherically invariant random processes by means of G-functions. In: Lecture Notes in Computer Science, Vol. 969, Springer, New York, pp. 39–73.

5. Simulation von sprachsignalen;Brehm;AEÜ,1974

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Optimal speech enhancement under signal presence uncertainty using Log Gabor Wavelet and Bayesian Joint Statistics;International Journal of Speech Technology;2013-04-12

2. bit more on the ability of adaptation of speech signals;Revista Facultad de Ingeniería Universidad de Antioquia;2013-04-05

3. Iterative Projective Gabor Method for Images Filtering;Arabian Journal for Science and Engineering;2012-12-15

4. Enhancement of noisy speech by temporal and spectral processing;Speech Communication;2011-02

5. An investigation of speech enhancement using wavelet filtering method;International Journal of Speech Technology;2010-05-20

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