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We propose a method to extract speech shots from news videos using detecting the inconsisteny between a subject and the speaker focusing on features within and between shots. Speech shots in news videos contain a wealth of multimedia information, and are valuable as archived material. To extract speech shots, we have previously proposed a method to detect the inconsistency between a subject and the speaker based on the co-occurrence between a subject\u0027s lip motion and the speaker\u0027s voice. This previous method could detect the inconsistency in a shot with little audio noises. However, it is difficult to detect the inconsistency in a shot with significant amount of audio noises. In order to deal with this problem, the proposed method detects the inconsisteny between a subject and the speaker in two steps. The first step detects the inconsistency by our previous method, and the second step detects the inconsistency based on the intra- and inter- shot features. 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