Effective Modeling of Acoustic Confusions for Mandarin CALL System

摘要：

Acoustic confusions degrade the accuracy of pronunciation assessment severely in Computer Assisted Language Learning (CALL) systems.This paper presents our recent study on effective modeling of the acoustic confusions.We change the traditional Mandarin syllable structure,which is composed of initial and final,to a novel phoneme structure.Several phoneme splitting strategies are investigated,and the question list used for building and merging decision tree is studied.Experiments show that the optimal phoneme splitting strategy outperforms the traditional initial-final structure in our CALL system,with relative 11.05％ ASER improvement for nasal finals.This idea may be extended to improve the performance of automatic speech recognition (ASR).

作者: Fengpei Ge Fuping Pan Changliang Liu Bin Dong Yonghong Yan

作者单位: ThinkIT laboratory,Institute of Acoustics,Chinese Academy of Sciences Beijing 100190,P.R.China

会议类型: 国际会议

会议名称: 9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP08)

会议地点: 北京

会议语种:英文

在线出版日期: 2008-10-26（万方平台首次上网日期，不代表论文的发表时间）