Computer-assisted Pronunciation Teaching based on Automatic Speech Recognition
نویسندگان
چکیده
Pronunciation teaching methods, as a part of computer assisted language learning systems, are currently limited in their ability to produce feedback on pronunciation quality. After an overview of previous work on pronunciation teaching , this article presents a pronunciation scoring algorithm based on automatic speech recognition, whereby scores at a phonemic level can be calculated. These \goodness of pronunciation" scores consist of a likelihood ratio between forced alignments and a maximum likelihood monophone loop. The results of evaluation experiments demonstrate the method's capability of detecting both individual mispronunciations as well as to give a general assessment of which sounds a student tends to pronounce badly.
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