Title :
A preliminary exploration on tone error detection in Mandarin based on clustering
Author :
Zhu, Taotao ; Ke, Dengfeng ; Chen, Zhenbiao ; Xu, Bo
Author_Institution :
Digital Content Technol. Res. Center, Chinese Acad. of Sci., Beijing, China
Abstract :
This paper addresses the ongoing issue of tone error detection for Mandarin Computer Assisted Language Learning (CALL) systems. A novel approach based on clustering is proposed. The selection of different contextual tonal factors including Uni-tone, LBi-tone and RBi-tone are explored. Experimental results show that our proposed approach is feasible, obtaining an Equal Error Rate (EER) of 18.75% by LBi-tone and with a 2.35% reduction compared to Uni-tone on a real corpus of nonnative speaker of Mandarin. Additionally, effects of contextual tonal factors on disyllabic words are investigated in this work.
Keywords :
computer aided instruction; natural language processing; pattern clustering; LBi-tone; Mandarin; Mandarin computer assisted language learning systems; RBi-tone; Uni-tone; clustering; disyllabic words; tone error detection; Clustering algorithms; Context; Databases; Feature extraction; Hidden Markov models; Speech; Testing; CALL; F0; clustering; tone error detection;
Conference_Titel :
Universal Communication Symposium (IUCS), 2010 4th International
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-7821-7
DOI :
10.1109/IUCS.2010.5666769
