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 zh_TW
收錄於
會議性質 國際
校內研討會地點 無
研討會時間 20151109~20151112
通訊作者 Ching-Tang Hsieh
國別 TWN
公開徵稿
出版型式
出處 International Symposium on Intelligent Signal Processing and Communication Systems, ISPACS 2015. pp.134-138.
相關連結

機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107377 )