Time-synchronous continuous speech recognizer driven by a context-free grammar

This paper proposes a time-synchronous continuous speech recognizer driven by a context-free grammar that integrates generalized LR parser based phoneme context prediction and context-dependent HMMs. In this method, a phoneme hypotheses trie is introduced for the phoneme history representation of possible LR states, and an LR state network is introduced for LR path merging. Both techniques reduce the amount of computation. The experimental results show that this new method is more efficient than the conventional LR parser driven phoneme-synchronous continuous speech recognizer