教師資料查詢 | 類別: 會議論文 | 教師: 謝景棠 Hsieh Ching-tang (瀏覽個人網頁)

標題:Speech Enhancement based on Sparse Representation under Color Noisy Environment
學年104
學期1
發表日期2015/11/09
作品名稱Speech Enhancement based on Sparse Representation under Color Noisy Environment
作品名稱(其他語言)
著者Ching-Tang Hsieh, Piao-Yu Huang, Ting-Wen Chen, Yan-heng Chen
作品所屬單位
出版者
會議名稱2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
會議地點Nusa Dua - Bali, Indonesia
摘要Recently, sparse algorithm for signal enhancement is more and more popular issues. In this paper, we apply it to enhance speech signal. The process of sparse theory is classified into two parts, one is for dictionary training part and the other is signal reconstruction part. We focus environment on both white Gaussian noise and color noise filtering based on sparse. The orthogonal matching pursuit (OMP) algorithm is used to optimize the sparse coefficients X of clean speech dictionary, where clean speech dictionary is trained by K-SVD algorithm. Then, we multiply these two matrixes D' and X' to reconstruct the clean speech signal. Denoising performance of the experiments shows that our proposed method is superior to other state of art methods in four kinds of objective quality measures as SNR, LLR, SNRseg and PESQ.
關鍵字Speech enhancement, sparse representations, K-SVD, discrete cosine transform (DCT), orthogonal matching pursuit (OMP)
語言中文
收錄於
會議性質國際
校內研討會地點
研討會時間20151109~20151112
通訊作者Ching-Tang Hsieh
國別中華民國
公開徵稿
出版型式
出處International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2015. pp.134-138.
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