DocumentCode :
3595598
Title :
Blind Change Detection for Audio Segmentation
Author :
Omar, Mohamed Kamal ; Chaudhari, Upendra ; Ramaswamy, Ganesh
Author_Institution :
IBM T. J. Watson Res. Center, Yorktown Heights, NY, USA
Volume :
1
fYear :
2005
Firstpage :
501
Lastpage :
504
Keywords :
Bayes methods; audio signal processing; minimisation; probability; speech processing; Bayesian information criterion algorithm; Kolmogorov-Smirnov test; audio data mining; audio indexing; audio segmentation; automatic audio stream segmentation; blind change detection; cumulative sum algorithm; false alarm rate; information retrieval systems; missing probability minimization; preprocessing step; speaker identities; speaker recognition; speech recognition; word error rate; Broadcasting; Error analysis; Indexing; Information retrieval; Maximum likelihood decoding; Speech enhancement; Speech recognition; Streaming media; Training data; Working environment noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
ISSN :
1520-6149
Print_ISBN :
0-7803-8874-7
Type :
conf
DOI :
10.1109/ICASSP.2005.1415160
Filename :
1415160
Link To Document :
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