This paper proposes an efficient anti-keyword derivation method to improve the rejection performance of keyword spotting. In this method, each anti-keyword is derived from the large vocabulary lexicon considering acoustic similarity to keywords, making use of the confusion matrix. Experimental results show that a 3% improvement of the rejection rate is obtained compared to conventional methods that do not have our anti-keyword models.
Cite as: Yamada, M., Kato, T., Naito, M., Kawai, H. (2005) Improvement of rejection performance of keyword spotting using anti-keywords derived from large vocabulary considering acoustical similarity to keywords. Proc. Interspeech 2005, 1445-1448, doi: 10.21437/Interspeech.2005-513
@inproceedings{yamada05_interspeech,
author={Makoto Yamada and Tsuneo Kato and Masaki Naito and Hisashi Kawai},
title={{Improvement of rejection performance of keyword spotting using anti-keywords derived from large vocabulary considering acoustical similarity to keywords}},
year=2005,
booktitle={Proc. Interspeech 2005},
pages={1445--1448},
doi={10.21437/Interspeech.2005-513}
}