DocumentCode :
3595702
Title :
Maximum entropy segmentation of broadcast news
Author :
Christensen, Heidi ; Kolluru, BalaKrishna ; Gotoh, Yoshihiko ; Renals, Steve
Author_Institution :
Dept. of Comput. Sci., Univ. of Sheffield, UK
Volume :
1
fYear :
2005
Firstpage :
1029
Lastpage :
1032
Keywords :
information retrieval; maximum entropy methods; natural languages; speech recognition; statistical analysis; archiving; automatic speech recognition; broadcast news segmentation; browsing; information retrieval; maximum entropy segmentation; speech summarization; statistical models; topic boundary detector; topic segmentation; utterance boundary detector; utterance segmentation; Automatic speech recognition; Broadcasting; Character generation; Computer science; Context modeling; Detectors; Entropy; Information retrieval; Streaming media; Training data;
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.2005.1415292
Filename :
1415292
Link To Document :
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