Title :
Real-time unsupervised speaker change detection
Author :
Lu, Lie ; Zhang, Hong-Jiang
Author_Institution :
Microsoft Res. Asia, Beijing, China
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;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048313