Modeling and automatic detection of English sentence stress for computer-assisted English prosody learning system

@inproceedings{Imoto2002ModelingAA,
  title={Modeling and automatic detection of English sentence stress for computer-assisted English prosody learning system},
  author={Kazunori Imoto and Yasushi Tsubota and Antoine Raux and Tatsuya Kawahara and Masatake Dantsuji},
  booktitle={INTERSPEECH},
  year={2002}
}
We address sentence-level stress detection of English for Computer-Assisted Language Learning (CALL) by Japanese students. Stress models are set up by considering syllable structure and position of the syllable in a phrase, which will provide diagnostic information for students. We also propose a two-stage recognition method that first detects the presence of stress and then identifies the stress level using different weighted combinations of acoustic features. The modeling is coherent with… CONTINUE READING
Highly Cited
This paper has 53 citations. REVIEW CITATIONS
37 Citations
8 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 37 extracted citations

53 Citations

02468'05'08'11'14'17
Citations per Year
Semantic Scholar estimates that this publication has 53 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-8 of 8 references

Detecting and correcting ispronunciation in non-native pronunciation learning using speech recognizer incorporating bilingual phone models

  • Kawai, A.Ishida, K.Hirose
  • Acoustical Society Japan,
  • 2001

" Automatic dection of stressed syllables in English words using HMM d its Application to Prosodic Evaluation of Pronunciation roficiency "

  • Y. Fujisawa Minematsu, S. Nakagawa.
  • 1999

" Lexical tress Estimation and Phonological Knowledge "

  • F. Fallside J. Freij, C. Hoequist, F. Nolan.
  • Speech ommunication and Language , number 4…
  • 1990

Stress-timing and Syllable-timing Reanalyzed

  • M. Dauer
  • urnal of Phonetics,
  • 1983

Similar Papers

Loading similar papers…