ISCA Archive Interspeech 2005
ISCA Archive Interspeech 2005

Accent detection and speech recognition for Shanghai-accented Mandarin

Yanli Zheng, Richard Sproat, Liang Gu, Izhak Shafran, Haolang Zhou, Yi Su, Daniel Jurafsky, Rebecca Starr, Su-Youn Yoon

As speech recognition systems are used in ever more applications, it is crucial for the systems to be able to deal with accented speakers. Various techniques, such as acoustic model adaptation and pronunciation adaptation, have been reported to improve the recognition of non-native or accented speech. In this paper, we propose a new approach that combines accent detection, accent discriminative acoustic features, acoustic adaptation and model selection for accented Chinese speech recognition. Experimental results show that this approach can improve the recognition of accented speech.


doi: 10.21437/Interspeech.2005-112

Cite as: Zheng, Y., Sproat, R., Gu, L., Shafran, I., Zhou, H., Su, Y., Jurafsky, D., Starr, R., Yoon, S.-Y. (2005) Accent detection and speech recognition for Shanghai-accented Mandarin. Proc. Interspeech 2005, 217-220, doi: 10.21437/Interspeech.2005-112

@inproceedings{zheng05_interspeech,
  author={Yanli Zheng and Richard Sproat and Liang Gu and Izhak Shafran and Haolang Zhou and Yi Su and Daniel Jurafsky and Rebecca Starr and Su-Youn Yoon},
  title={{Accent detection and speech recognition for Shanghai-accented Mandarin}},
  year=2005,
  booktitle={Proc. Interspeech 2005},
  pages={217--220},
  doi={10.21437/Interspeech.2005-112}
}