ISCA Archive Eurospeech 1999
ISCA Archive Eurospeech 1999

Regression class selection and speaker adaptation with MLLR in Mandarin continuous speech recognition

Chengrong Li, Jingdong Chen, Bo Xu

Currently, CDHMM based continuous speech recognition has been widely extended to speaker-independent (SI) system. However, the performance of the SI system is highly dependent on the speakers, especially for Mandarin speech with accent, speaker adaptation becomes crucial important for real application. In this paper, MLLR approach is studied for speaker adaptation in mandarin continuous speech recognition and three approaches for defining regression classes are investigated: the first is based on Chinese phonetic classification, the second is based on statistical information of mixture distribution parameters and the third is based on state duration using segmental information. Other experiments like the effect of adaptation data and mixtures are presented also in the paper. The new variance-based regression class selecting scheme is proposed and has been proved to be effective.


doi: 10.21437/Eurospeech.1999-547

Cite as: Li, C., Chen, J., Xu, B. (1999) Regression class selection and speaker adaptation with MLLR in Mandarin continuous speech recognition. Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999), 2503-2506, doi: 10.21437/Eurospeech.1999-547

@inproceedings{li99c_eurospeech,
  author={Chengrong Li and Jingdong Chen and Bo Xu},
  title={{Regression class selection and speaker adaptation with MLLR in Mandarin continuous speech recognition}},
  year=1999,
  booktitle={Proc. 6th European Conference on Speech Communication and Technology (Eurospeech 1999)},
  pages={2503--2506},
  doi={10.21437/Eurospeech.1999-547}
}