DocumentCode :
1732707
Title :
A Mobile Learning System for learning Mandarin Pronunciation
Author :
Zhang, Long ; Wang, Jianhua ; Li, Haifeng
Author_Institution :
Coll. of Comput. Sci. & Inf. Eng., Harbin Normal Univ., Harbin, China
Volume :
1
fYear :
2011
Firstpage :
621
Lastpage :
624
Abstract :
Based on speech recognition technology and wireless communication technology, a novel mobile learning system for learning Mandarin pronunciation is built. It likes an excellent human teacher to help learners improve their pronunciation quality and has the following good features: intelligence, interaction, and convenience. After training the standard acoustic model, the system can recognize the learner´s speech and then calculate the accuracy rate of the pronunciation. Compared the practical pronunciation with the standard pronunciation, the system can accurately detect the defects and errors of the learner´s pronunciation, and locate its position and type. Combined the phonetics knowledge and expert knowledge, the system also can give a concrete pronunciation diagnosis, and make reasonable suggestions and correction methods. Finally, Using intelligent search techniques, adaptive training materials can be automatically generated and reinforcement learning will be performed.
Keywords :
distance learning; learning (artificial intelligence); mobile computing; speech recognition; Mandarin pronunciation learning; adaptive training materials; concrete pronunciation diagnosis; expert knowledge; intelligent search techniques; learner speech; mobile learning system; phonetics knowledge; pronunciation accuracy rate; reinforcement learning; speech recognition technology; standard acoustic model; wireless communication technology; Broadcasting; Computational modeling; Decoding; Force; Materials; Speech; Training; mandarin pronunciation evaluation; mobile learning; pronunciation diagnosis; speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2011 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4577-1586-0
Type :
conf
DOI :
10.1109/ICCSNT.2011.6182034
Filename :
6182034
Link To Document :
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