母语与非母语语音识别声学建模

Native and Non-native Speech Recognition Acoustic Modeling

为了兼容母语与非母语说话人之间的发音变化,提出一种新的声学模型建模方法。分析中国人受母语影响产生的英语发音变化,利用中国人英语发音数据库自适应得到语音模型,采用声学模型融合技术构建融合2种发音规律的识别模型。实验结果证明,中国人英语发音的语音识别率提高了13.4%,但标准英语的语音识别率仅下降1.1%。

In order to tolerance the pronunciation changes between native speakers and non-native speakers,this paper proposes a new modeling method for acoustic model.By analyzing English pronunciation changes caused by Chinese,it uses non-native English pronunciation database to gain the corresponding speech model with adaptive method,and uses acoustic model merging technology to construct a recognition model merged two pronunciation rules.Experimental results show that recognition rate of non-native English increases by 13.4% and recognition rate on native English decreases by 1.1%.