计算机辅助语言学习系统中汉语声调评测模型的性能研究

Study on the performance evaluation model of Chinese tones in the system of computer assisted language learning

声调是汉语普通话中最重要的信息,随着汉语语音技术的进一步发展,声调的识别与评测已经成为汉语语音技术发展的一个主要方向。文章建立了一种基于GMM后验概率评估模型的汉语声调评估模型,并利用相关系数和分级错误率两个指标对模型进行实验分析。实验结果表明:这种模型很好的融合了声调基频特征和声调识别结果,具有一定的实用价值。

Tone is the most important information of Mandarin. With the development of Chinese speech technology, study on the speech recognition and evaluation has been becoming a major way of development of Chinese speech technology. The paper proposes a Chinese tone assessment model which is based on the GMM Posterior probability, and the performance of the model has been analyzed by using two indexes of correlation and grade error rate. The experimental results show that the model is syncretized well with the tone pitch characteristics and recognition results, it has some value for practical operation.