DocumentCode :
702722
Title :
Survey on Computer Aided Language Learning using automatic accent assessment techniques
Author :
Lohiya, Sneha V. ; Kamble, Milind V.
Author_Institution :
Electron. Dept., Vishwakarma Inst. of Technolgy, Pune, India
fYear :
2015
fDate :
8-10 Jan. 2015
Firstpage :
1
Lastpage :
4
Abstract :
The automatic identification of prosodic events such as pitch accent in English has long been a topic of interest to speech researchers. Applications like Computer Aided Language Learning (CALL) and Computer Assisted Pronunciation Training (CAPT) applications plays an important role in English Learning. We are discussing the different methods to build automatic accent assessment system in which we can convert non native accent to native one. With the use of these algorithms we can detect the pronunciation mismatches in English learning process.
Keywords :
computer based training; linguistics; natural languages; CALL; CAPT; English learning process; automatic accent assessment technique; automatic prosodic event identification; computer aided language learning; computer assisted pronunciation training; native accent; nonnative accent; pitch accent; pronunciation mismatch detection; Harmonic analysis; Hidden Markov models; Speech; Speech recognition; Speech synthesis; Training; Accent Assessment System; Accent Reduction; CALL; Pronunciation Mismatches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/PERVASIVE.2015.7087089
Filename :
7087089
Link To Document :
بازگشت