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 paper, we propose a method to automatically index and classify TV news articles into 10 topics based on a speech dictation techniques using speaker independent triphone HMMs and word bigram.
Cite as: Ogata, J., Ariki, Y. (1998) Indexing and classification of TV news articles based on speech dictation using word bigram. Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998), paper 0126, doi: 10.21437/ICSLP.1998-684
@inproceedings{ogata98_icslp,
author={Jun Ogata and Yasuo Ariki},
title={{Indexing and classification of TV news articles based on speech dictation using word bigram}},
year=1998,
booktitle={Proc. 5th International Conference on Spoken Language Processing (ICSLP 1998)},
pages={paper 0126},
doi={10.21437/ICSLP.1998-684}
}