Name
Abstract | ||
|---|---|---|
This paper presents a speech separation algorithm, which is capable of extracting speech signals from music background when given only a single-channel recording. The main idea is to employ both the tool of spectrogram and the image processing methods to solve the problem of speech signals processing. Edge detection algorithm and Hough transform are used to detect the fundamental frequency and the corresponding harmonic components of the music. The experimental results show that the proposed algorithm can effectively remove background music from the input signals and output the speech signals needed. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICPR.2006.1075 | ICPR (4) |
Keywords | Field | DocType |
single-channel recording,corresponding harmonic component,background music,speech separation algorithm,speech separation,edge detection algorithm,speech signal,image processing method,proposed algorithm,fundamental frequency,music background,hough transform,music,image processing,edge detection,speech processing | Speech processing,Computer vision,Signal processing,Fundamental frequency,Voice activity detection,Computer science,Edge detection,Spectrogram,Image processing,Hough transform,Speech recognition,Artificial intelligence | Conference |
ISSN | ISBN | Citations |
1051-4651 | 0-7695-2521-0 | 0 |
PageRank | References | Authors |
0.34 | 3 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xue-Cheng Jin | 1 | 12 | 1.50 |
| Zengfu Wang | 2 | 1133 | 85.70 |