10th Annual Conference of the International Speech Communication Association

Brighton, United Kingdom
September 6-10, 2009

ASR Based Pronunciation Evaluation with Automatically Generated Competing Vocabulary

Carlos Molina, Nestor Becerra Yoma, Jorge Wuth, Hiram Vivanco

Universidad de Chile, Chile

In this paper the application of automatic speech recognition (ASR) technology in CAPT (Computer Aided Pronunciation Training) is addressed. A method to automatically generate the competitive lexicon, required by an ASR engine to compare the pronunciation of a target word with its correct and wrong phonetic realization, is presented. In order to enable the efficient deployment of CAPT applications, the generation of this competitive lexicon does not require any human assistance or a priori information of mother language dependent errors. The method presented here leads to averaged subjective-objective score correlation equal to 0.82 and 0.75 depending on the task.

Full Paper

Bibliographic reference.  Molina, Carlos / Yoma, Nestor Becerra / Wuth, Jorge / Vivanco, Hiram (2009): "ASR based pronunciation evaluation with automatically generated competing vocabulary", In INTERSPEECH-2009, 1907-1910.