The goal of the Video Mail Retrieval (VMR) project is to integrate state-of-the-art information retrieval (IR) methods with high-accuracy word spotting to yield a robust and efficient multimedia retrieval system. This paper concerns op en-talker and arbitrary-keyword retrieval based on talker-independent subword models. Because talker-independent subword models can not be expected to work as well as the talker-dependent whole-keyword models used in previous VMR experiments, speaker adaptation is investigated as a means of improving performance (especially for talkers with non-British accents). Both standard FOM word spotting measures and actual retrieval results are computed. The results show that the FOM is not necessarily a good indicator of retrieval performance, and that talker adaptation can substantially improve both spotting and retrieval results.
Cite as: Foote, J.T., Jones, G.J.F., Jones, K.S., Young, S.J. (1995) Talker-independent keyword spotting for information retrieval. Proc. 4th European Conference on Speech Communication and Technology (Eurospeech 1995), 2145-2148, doi: 10.21437/Eurospeech.1995-513
@inproceedings{foote95_eurospeech,
author={J. T. Foote and G. J. F. Jones and K. Sparck Jones and S. J. Young},
title={{Talker-independent keyword spotting for information retrieval}},
year=1995,
booktitle={Proc. 4th European Conference on Speech Communication and Technology (Eurospeech 1995)},
pages={2145--2148},
doi={10.21437/Eurospeech.1995-513}
}