Interspeech'2005 - Eurospeech

Lisbon, Portugal
September 4-8, 2005

Improvement of Rejection Performance of Keyword Spotting Using Anti-Keywords Derived from Large Vocabulary Considering Acoustical Similarity to Keywords

Makoto Yamada, Tsuneo Kato, Masaki Naito, Hisashi Kawai

KDDI R&D Laboratories Inc., Japan

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.

Full Paper

Bibliographic reference.  Yamada, Makoto / Kato, Tsuneo / Naito, Masaki / Kawai, Hisashi (2005): "Improvement of rejection performance of keyword spotting using anti-keywords derived from large vocabulary considering acoustical similarity to keywords", In INTERSPEECH-2005, 1445-1448.