Name
Abstract | ||
|---|---|---|
This paper addresses the problem of audio change detection and speaker tracking in broadcast TV streams. A two-pass audio change detection algorithm, which includes detection of the potential change boundaries and refinement, is proposed. Speaker tracking is performed based on the results of speaker change detection. In speaker tracking, Wiener filtering, endpoint detection of pitch, and segmental cepstral feature normalization are applied to obtain a more reliable result. The algorithm has low complexity. Our experiments show that the algorithm achieves very satisfactory results. |
Year | Venue | Keywords |
|---|---|---|
2006 | IJCLCLP | entropy,audio segmentation,gmm,speaker tracking,wiener filter,change detection |
Field | DocType | Volume |
Wiener filter,Normalization (statistics),Change detection,Computer science,Cepstrum,Speech recognition,Speaker tracking,Speaker diarisation,Change detection algorithms,Broadcast television systems | Journal | 11 |
Issue | Citations | PageRank |
1 | 0 | 0.34 |
References | Authors | |
11 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Junmei Bai | 1 | 2 | 1.10 |
| Hongchen Jiang | 2 | 5 | 0.84 |
| Shilei Zhang | 3 | 57 | 9.81 |
| Shuwu Zhang | 4 | 123 | 25.97 |