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 |