Chinese question speech recognition integrated with domain characteristics

摘要

Aiming at domain adaptation in speech recognition, we propose a speech recognition method for Chinese question sentence based on domain characteristics. Firstly, by virtue of syllable association characteristics implied in domain term, syllable feature sequences of domain terms are used to construct the domain acoustic model. Secondly, in decoding process of domain-specific Chinese question speech recognition, we utilise domain knowledge relationship to optimise and prune the speech decoding network generated by language model, to improve continuous speech recognition. The experiments on tourist domain corpus show that the proposed method gets the accuracy of 80.50% on Chinese question speech recognition and the accuracy of 91.50% on domain term recognition.