Speaker indexing for news articles, debates and drama in broadcasted TV programs

We propose a method to extract and verify individual speaker utterance using a subspace method. This method can extract a speech section of the same speaker by repeating speaker verification between the present speech section and the immediately previous speech section. The speaker models are automatically trained in the verification process without constructing speaker templates in advance. As a result, this speaker verification method is applied to speaker indexing. In this study, announcer utterances are automatically separated from news speech data which includes reporter or interviewer utterances using the speaker verification method. Also the utterances of each participant in a debate program broadcasted on TV are automatically extracted. Furthermore, speech sections of an actor or actress in TV drama are extracted