Error correction via phonetic similarity-based processing for chinese spoken dialogue system

This paper reviewed the approaches of error handling in spoken dialogue systems in the literature at first. To take advantage of domain knowledge and the characteristics of the errors in Chinese speech recognition, a similarity between text strings from speech recognizer and the correct words was defined. A similarity-based algorithm of error handling in Chinese spoken language understanding was developed to improve the correctness and robustness of sentence understanding in spoken dialog systems. Before the procedure of keyword spotting, the errors in text strings are revised first. Preliminary experimental results show that the algorithm is effective