Filtering the Unknown: Speech Activity Detection in Heterogeneous Video Collections

Huijbregts, Marijn and Wooters, Chuck and Ordelman, Roeland (2007) Filtering the Unknown: Speech Activity Detection in Heterogeneous Video Collections. In: Interspeech 2007, 27-31 August 2007, Antwerp, Belgium.

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Abstract:	In this paper we discuss the speech activity detection system that we used for detecting speech regions in the Dutch TRECVID video collection. The system is designed to filter non-speech like music or sound effects out of the signal without the use of predefined non-speech models. Because the system trains its models on-line, it is robust for handling out-of-domain data. The speech activity error rate on an out-of-domain test set, recordings of English conference meetings, was 4.4%. The overall error rate on twelve randomly selected five minute TRECVID fragments was 11.5%.
Item Type:	Conference or Workshop Item
Faculty:	Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:	Human Media Interaction (HMI)
Link to this item:	http://purl.utwente.nl/publications/64329
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