A*-admissible key-phrase spotting with sub-syllable level utterance verification
Berlin Chen, Hsin‐Min Wang, Lee‐Feng Chien, Lin-shan Lee · 1998
In this paper, we propose an A*-admissible key-phrase spotting framework, which needs little domain knowledge and is capable of extracting salient key-phrase fragments from an input utterance in real-time. There are two key features in our approach. Firstly, the acoustic models and the search framework are specially designed such that very high degree vocabulary flexibility can be achieved for any desired application tasks. Secondly, the search framework uses an efficient two-pass A* search to generate N-best key-phrase candidates and then several sub-syllable level verification functions are properly weighted and used to further improve the recognition accuracy. Experimental results show that the A*-admissible key-phrase spotting with sub-word level utterance method outperforms the baseline methods used in common approaches. 1. INTRODUCTION In recent years, various spoken dialog systems have been widely investigated for the fast growing demand for real-world applications. It is diff...