WebGrader(TM) is a pronunciation grading tool designed for practicing pronunciation in a second language. The system uses SRI's speech recognition [1] and pronunciation scoring [2][3][4] technologies. The application client was implemented by using the Java platform to facilitate deployment and updates of software and content over the World Wide Web. We present the overall system architecture, user-interface design, scoring algorithms, and a preliminary user study.
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V. Digalakis and H. Murveit, "Genones: Optimizing the Degree of Mixture Tying in a Large Vocabulary Hidden Markov Model Based Speech Recognizer," IEEE Trans. Speech Audio Processing, pp. 281-289, July 1996. J. Bernstein, M.Cohen, H. Murveit, D. Rtischev, and M. Weintraub, "Automatic Evaluation and Training in English Pronunciation," Proceedings ICSLP, 1990. L. Neumeyer, H. Franco, M. Weintraub, and P. Price, "Automatic Text-Independent Pronunciation Scoring of Foreign Language Student Speech," Proceedings ICSLP, 1996. H. Franco, L. Neumeyer, Y. Kim, and O. Ronen, "Automatic Pronunciation Scoring for Language Instruction," Proceedings ICASSP, 1997.
Cite as: Neumeyer, L., Franco, H., Abrash, V., Julia, L., Ronen, O., Bratt, H., Bing, J., Digalakis, V., Rypa, M. (1998) Webgrader(TM): a multilingual pronunciation practice tool. Proc. ETRW on Speech Technology in Language Learning (STiLL), 61-64
@inproceedings{neumeyer98_still,
author={Leonardo Neumeyer and Horacio Franco and Victor Abrash and Luc Julia and Orith Ronen and Harry Bratt and Jehan Bing and Vassilis Digalakis and Marikka Rypa},
title={{Webgrader(TM): a multilingual pronunciation practice tool}},
year=1998,
booktitle={Proc. ETRW on Speech Technology in Language Learning (STiLL)},
pages={61--64}
}