A MAP Estimator for the Enhancement of Speech Signal Separated by ICA Algorithm (国際ワークショップ Frontiers in Speech and Hearing Research)
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概要
- 論文の詳細を見る
This paper presents an algorithm for the enhancement of speech signal separated by ICA algorithms. The enhancement algorithm proposed here is based on Maximum a Posteriori (MAP) estimation of the speech spectral components using Generalized Gaussian Distribution (GGD) function as the statistical model for the Time Frequency Series of Speech (TFSS) signal. The proposed MAP estimator has been used as the post-processing stage for the enhancement of speech signals separated by the fixed-point ICA algorithm in the frequency domain. Experimental evidences show that combination of separation algorithm with the proposed enhancement algorithm gives improved performance.
- 社団法人電子情報通信学会の論文
- 2006-03-20
著者
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SARUWATARI Hiroshi
Nara Institute of Science and Technology
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SHIKANO Kiyohiro
Nara Institute of Science and Technology
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Prasad Rajkishore
University Of Electro-communication
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Matsuno Fumitoshi
University of Electro-Communication
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Shikano K
Chiba University And National Institute Of Information And Communications Technology
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Sawada H
Graduate School Of Information Science Nara Institute Of Science And Technology
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Matsuno Fumitoshi
Nara Institute of Science and Technology
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