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 THEORY UNDER NOISY ENVIRONMENT
學年103
學期2
發表日期2015/07/18
作品名稱SPEECH ENHANCEMENT BASED ON SPARSE THEORY UNDER NOISY ENVIRONMENT
作品名稱(其他語言)
著者Hsieh, Ching-Tang;Chen, Yan-heng;Chen, Ting-Wen;Chen, Li-Ming
作品所屬單位電機工程學系暨研究所
出版者Academy of Taiwan Information Systems Research (ATISR)
會議名稱International Conference on Internet Studies 2015 (NETs 2015)
會議地點Tokyo, Japan
摘要Recently, 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 performance of the experiments shows that our proposed method is superior than other methods in SNR, LLR, SNRseg and PESQ.
關鍵字Speech enhancement, sparse representations, K-SVD, discrete cosine transform (DCT), orthogonal matching pursuit (OMP)
語言英文(美國)
收錄於
會議性質國際
校內研討會地點
研討會時間20150718~20150719
通訊作者Chen, Ting-Wen
國別日本
公開徵稿Y
出版型式電子版
出處International Conference on Internet Studies (NETs 2015)
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!