关键词: 发音字典, 音素混淆矩阵, 剪枝策略, 新疆维吾尔族说话人, 非母语汉语语音识别

Abstract: When acoustic models trained on standard Mandarin speech database are applied to Putonghua speech uttered by Uighur speakers in Xinjiang，because of the significant pronunciation deviation of the speakers，recognition accuracy would drop dramatically.To solve this problem，the multi-pronunciation dictionary technique is adopted to improve the performance of non-native speech recognition.Statistical analysis of recognition errors is carried out to build phoneme confusion matrices from which pronunciation candidates can be made.Three pruning schemes are evaluated to best remove the useless pronunciation alternatives.The resulting pronunciation candidates are used to expand pronunciation dictionary for non-native speech recognition.Experimental results on continuous speech recognition show significant improvement can be obtained using resulting pronunciation dictionary.

Key words: pronunciation dictionary, phoneme confusion matrix, pruning strategy, Uighur speakers in Xinjiang, non-native Mandarin speech recognition