Keyword spotting method based on speech feature space trace matching
2004Vol. 38, pp. 3188–3192
Citations Over TimeTop 22% of 2004 papers
Abstract
Keyword spotting (KWS) has been an active research area in recent years. Based on the theory of feature space trace time normalization, an efficient keyword spotting method is proposed in this paper, with the effect of the fragment trace length probed. Experiments show that the performance of this method is close to that of manual spotting, having some practicability.
Related Papers
- → An approach of keyword spotting based on HMM(2002)4 cited
- → Mutitask Learning Based Muti-examples Keywords Spotting in Low Resource Condition(2018)4 cited
- → Attention-Based End-to-End Keywords Spotting(2020)1 cited
- → Word Spotting based on the Generalized Hough Transform and continuous DP matching(1998)