| SPEECH ENHANCEMENT BASED ON LABEL CONSISTENT K-SVD UNDER NOISY ENVIRONMENT | |
|---|---|
| 學年 | 104 |
| 學期 | 2 |
| 發表日期 | 2016-06-25 |
| 作品名稱 | SPEECH ENHANCEMENT BASED ON LABEL CONSISTENT K-SVD UNDER NOISY ENVIRONMENT |
| 作品名稱（其他語言） | |
| 著者 | Hsieh, Ching-Tang; Chiang, Cheng-Yuan; Chen, Ting-Wen |
| 作品所屬單位 | |
| 出版者 | |
| 會議名稱 | 2016 5th International Conference on Computer, Electronics and Data Processing (ICCEDP 2016) |
| 會議地點 | China, Taiyuan |
| 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. |
| 關鍵字 | Speech enhancement;sparse representations;K-SVD;Label Consistent K-SVD(LCKSVD) |
| 語言 | en |
| 收錄於 | |
| 會議性質 | 國際 |
| 校內研討會地點 | 無 |
| 研討會時間 | 20160625~20160626 |
| 通訊作者 | |
| 國別 | CHN |
| 公開徵稿 | |
| 出版型式 | |
| 出處 | Advances in Computer Science Research |
| 相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/107475 ) |
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