關鍵字查詢 | 類別:會議論文 | | 關鍵字:SPEECH ENHANCEMENT BASED ON SPARSE THEORY UNDER NOISY ENVIRONMENT

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序號 學年期 教師動態
1 103/2 電機系 謝景棠 教授 會議論文 發佈 SPEECH ENHANCEMENT BASED ON SPARSE THEORY UNDER NOISY ENVIRONMENT , [103-2] :SPEECH ENHANCEMENT BASED ON SPARSE THEORY UNDER NOISY ENVIRONMENT會議論文SPEECH ENHANCEMENT BASED ON SPARSE THEORY UNDER NOISY ENVIRONMENTHsieh, Ching-Tang;Chen, Yan-heng;Chen, Ting-Wen;Chen, Li-Ming電機工程學系暨研究所Speech enhancement, sparse representations, K-SVD, discrete cosine transform (DCT), orthogonal matching pursuit (OMP)Academy of Taiwan Information Systems Research (ATISR)International Conference on Internet Studies (NETs 2015)National Taipei UniversityRecently, the sparse algorithm for sparse enhancement is more and more popular issues. In this paper, we classify the process of the sparse theory to enhance speech signal into two parts, one is for dictionary training part and the other is signal reconstruction part. We focus on the White Gaussian Noise. Clean speech dictionary D is trained by K-SVD algorithm. The orthogonal matching pursuit(OMP) algorithm is used to obtain the sparse coefficients X of clean speech dictionary D. Denoising pe
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