標題: BIC-based audio segmentation by divide-and-conquer
作者: Cheng, Shih-Sian
Wang, Hsin-Min
Fu, Hsin-Chia
資訊工程學系
Department of Computer Science
關鍵字: acoustic change detection;audio segmentation;Bayesian Information Criterion;divide-and-conquer
公開日期: 2008
摘要: Audio segmentation has received increasing attention in recent years for its potential applications in automatic indexing and transcription of audio data. Among existing audio segmentation approaches, the BIC-based approach proposed by Chen and Gopalakrishnan is most well-known for its high accuracy. However, this window-growingbased segmentation approach suffers from the high computation cost. In this paper, we propose using the efficient divide-and-conquer strategy in audio segmentation. Our approaches detect acoustic changes by recursively partitioning an analysis window into two sub-windows using Delta BIC. The results of experiments conducted on the broadcast news data demonstrate that our approaches not only have a lower computation cost but also achieve a higher segmentation accuracy than window-growing-based segmentation.
URI: http://hdl.handle.net/11536/135046
ISBN: 978-1-4244-1483-3
ISSN: 1520-6149
期刊: 2008 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-12
起始頁: 4841
結束頁: +
顯示於類別:會議論文