Title :
CDF-Matching for Automatic Tone Error Detection in Mandarin Call System
Author :
Si Wei ; Hai-Kun Wang ; Qing-sheng Liu ; Ren-Hua Wang
Author_Institution :
Lab of iFlytek Speech, Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
This paper introduces a tone pronunciation error detection algorithm for Mandarin CALL system. HMM is introduced to build tone model. FO after CDF-matching normalization is used as the feature of tone model. Tone error detection algorithm is based on the posterior probability calculated from HMM tone models. Comparing to the other normalization methods, CDF-matching can get better tone error detection performance with CC´s increasing from 0.76 to 0.79, which is close to that between human evaluators (0.83).
Keywords :
computer aided instruction; hidden Markov models; linguistics; natural languages; speech recognition; CDF-matching normalization; HMM; Mandarin CALL system; automatic tone error detection; computer assisted language learning; posterior probability; tone pronunciation error detection algorithm; Computer errors; Databases; Detection algorithms; Distribution functions; Hidden Markov models; Humans; Natural languages; Probability; Speech; Testing; CALL; CDF-matching; Pronunciation error detection; Tone recognition;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
DOI :
10.1109/ICASSP.2007.367199
