The Linguistic Knowledge Based Improvement in Automatic Putonghua Pronunciation Quality Assessment Algorithm
Ren-Hua Wang · Zhongwen xinxi xuebao · 2007
With the popularization of Putonghua,the demand for testing and learning by the aid of computer is even more and more intensive.In this paper,we proposed an improved phone-based quality assessment algorithm aiming at Putonghua pronunciation.The linguistic knowledge of Putonghua pronunciation was effectively introduced into the calculation of HMM based log posterior probability.Comparing with traditional method,the proposed one not only reduces the complexity of calculation,but also achieves an improvement of correlation between machine and human scores from 0.704 to 0.795 on a database of 303 persons recorded from spot Putonghua Shuiping Ceshi.