News Dictation and Article Classification Using Automatically Extracted Announcer Utterance
In order to construct a news database with a function of video on demand (VOD), it is required to classify news articles into topics. In this study, we describe a system which can dictate news speech, extract keywords and classify news articles based on the extracted keywords. We propose that it is sufficient to dictate only the announcer utterance in classifying the news articles and it contributes to reduce the processing time. As an experiment, we compared the classification performance of news articles in two cases; dictating only the announcer utterances which are automatically extracted and dictating a whole speech which includes reporter or interviewer utterances.
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