DocumentCode
384314
Title
Real-time unsupervised speaker change detection
Author
Lu, Lie ; Zhang, Hong-Jiang
Author_Institution
Microsoft Res. Asia, Beijing, China
Volume
2
fYear
2002
fDate
2002
Firstpage
358
Abstract
Information on speaker change point is very useful for speaker tracking and other applications. In this paper, we presented an effective algorithm for automatic speaker change detection based on LSP correlation analysis. Moreover, a general case is considered, in which the speaker and speaker number are both assumed unknown. The algorithm has low complexity and can be processed in real-time with a limit delay. Our experiments have shown that the algorithms produce very satisfactory results.
Keywords
acoustic correlation; computational complexity; real-time systems; speaker recognition; LSP correlation analysis; automatic speaker change detection; limit delay; low complexity algorithm; real-time unsupervised speaker change detection; speaker change point; speaker number; speaker tracking; Asia; Broadcasting; Change detection algorithms; Clustering algorithms; Detection algorithms; Hidden Markov models; Performance analysis; Speaker recognition; Speech; Streaming media;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2002. Proceedings. 16th International Conference on
ISSN
1051-4651
Print_ISBN
0-7695-1695-X
Type
conf
DOI
10.1109/ICPR.2002.1048313
Filename
1048313
Link To Document