Phrase speech recognition of large vocabulary using feature in articulatory domain

A phrase unit speech recognition system is discussed, which is applicable for a large vocabulary and is independent of the task. In the case of large vocabulary, it is desirable to express the words in the dictionary by the sequence of phonemes or phoneme-like units. Therefore, the recognition of phonemes in continuous speech is essential to achieve a flexible speech understanding system. In this paper, a technique to recognize phrases based on the phoneme recognition is introduced. The system is composed of the phoneme recognition part and the phrase recognition part. In the phoneme recognition part, the features in the articulatory domain are extracted and applied to compensate coarticulation. In the phrase recognition part, a word sequence corresponding to the phoneme sequence is determined by using two-level DP matching with automaton control, in which words are processed symbolically to attain the acceptable processing speed.