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| Audio-based Topic Retrieval and Clustering of TV Broadcasting News |
| Wang Lei①②; Du Li-min①; Wang Jin-lin① |
| ①Institute of Acoustics of the Chinese Academy of Sciences, Beijing 100080, China; ②Graduate School of the Chinese Academy of Sciences, Beijing 100039, China |
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Abstract With boosting of stream media applications, content-based media information retrieval becomes hot topic of current academic research. Since news program is familiar and popular, topic retrieval of news program has important practical significance. Based on audio processing, this paper integrates studio / non-studio classification, speaker change detection and speaker clustering, and realizes automatic news topic retrieval and clustering according to anchorman. The experiment indicates that above 96% studio segments of news programs can be found out and clustered, and proves feasibility and potential of the method.
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Received: 10 March 2006
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2007, Vol. 29 
