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    題名: SPEECH ENHANCEMENT BASED ON LABEL CONSISTENT K-SVD UNDER NOISY ENVIRONMENT
    作者: Hsieh, Ching-Tang;Chiang, Cheng-Yuan;Chen, Ting-Wen
    關鍵詞: Speech enhancement;sparse representations;K-SVD;Label Consistent K-SVD(LCKSVD)
    日期: 2016-06-25
    上傳時間: 2016-09-13 02:11:17 (UTC+8)
    摘要: The sparse algorithm for sparse enhancement is more and more popular issues, recently. In previous research, the sparse algorithm for sparse enhancement will spend much time, so we propose LC K-SVD(Label Consistent K-SVD) to reduce spending time. We focus on the White Gaussian Noise. The experiments show that denoising performance of our proposed method is very closed to sparse algorithm in SNR, LLR, SNRseg and PESQ, even better then it. Our method only need half time then sparse algorithm.
    關聯: Advances in Computer Science Research
    顯示於類別:[電機工程學系暨研究所] 會議論文

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