关键词: 语音识别, 音素串编辑距离, 随机段模型, 解码

Abstract: The optimal path achieved according to acoustic characteristics implies some information which can reveal the correctness of current hypothesized path. Thus, the information may be used to improve the decoding algorithm of stochastic segment model. The context phonetic string edit distance model is built to measure the similarity between the best matched path and current hypothesized path. Then the edit distance is integrated into total score of current hypothesized path by the N-Best rescoring. Experiments conducted on “863-test” set show that about 8.1% relative improvement can be achieved in the recognition accuracy. Thus, potential of the method is demonstrated.

Key words: speech recognition, phonetic string edit distance, stochastic segment model, decoding