Speech Technology in Language Learning
May 25-27, 1998
WebGrader(TM): A Multilingual Pronunciation Practice Tool
Leonardo Neumeyer, Horacio Franco, Victor Abrash, Luc Julia, Orith Ronen, Harry Bratt, Jehan Bing, Vassilis Digalakis, Marikka Rypa
Speech Technology and Research Laboratory, SRI International, Menlo Park, USA
WebGrader(TM) is a pronunciation grading tool designed
for practicing pronunciation in a second language. The
system uses SRI's speech recognition  and
pronunciation scoring  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
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
- 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.
Neumeyer, Leonardo / Franco, Horacio / Abrash, Victor / Julia, Luc / Ronen, Orith / Bratt, Harry / Bing, Jehan / Digalakis, Vassilis / Rypa, Marikka (1998):
"Webgrader(TM): a multilingual pronunciation practice tool",
In STiLL-1998, 61-64.