13th Annual Conference of the International Speech Communication Association

Portland, OR, USA
September 9-13, 2012

Pronunciation Quality Evaluation of Sentences by Combining Word Based Scores

Jorge Wuth (1), Néstor Becerra Yoma (1), Leopoldo Benavides (1), Hiram Vivanco (2)

(1) Speech Processing and Transmission Laboratory, Department of Electrical Engineering;
(2) Department of Linguistics;
Universidad de Chile, Santiago, Chile

The problem of pronunciation evaluation of sentences is defined as the combination of word based subjective pronunciation scores. The mean subjective word score criterion is proposed and modeled with the combination of word-based objective assessment. The word objective metric requires no a priori studies of common mistakes, and it makes use of class based language models to incorporate wrong and correct pronunciations. Wrong pronunciations are automatically generated by employing competitive lexicon, and students' native language phonetic rules. Subjective-objective sentence score correlations greater than 0.5 can be achieved when the proposed sentence based pronunciation criterion is approximated with the combinations of word-based scores. Finally, the subjective-objective sentence score correlations reported here are very comparable with those published elsewhere with methods that require a priori studies of pronunciation errors.

Index Terms: Computer-aided pronunciation training, subjective criterion, second language learning, ASR

Full Paper

Bibliographic reference.  Wuth, Jorge / Yoma, Néstor Becerra / Benavides, Leopoldo / Vivanco, Hiram (2012): "Pronunciation quality evaluation of sentences by combining word based scores", In INTERSPEECH-2012, 1279-1282.