A forced alignment approach to detect Chinese repetitive stuttering

A forced alignment based algorithm to detect Chinese repetitive stuttering is studied.According to the features of repetitions in Chinese stuttered speech,improvement solutions are provided based on the previous research findings.First,a multi-span looping forced alignment decoding network is designed to detect multi-syllable repetitions in Chinese stuttered speech.Second,branch penalty is added in the network to adjust decoding trend using recursive search in order to reduce the error from the complexity of the decoding network.Finally,we rejudge the detected stutters by calculating confidence to improve the reliability of the detection result.The experimental results show that compared to previous algorithm,the proposed algorithm can improve system performance significantly,about 18%reduction of average detection error rate relatively.