ISCA Archive Interspeech 2005
ISCA Archive Interspeech 2005

Rapid speaker adaptation for continuous speech recognition using merging eigenvoices

Dong-jin Choi, Yung-Hwan Oh

Speaker adaptation in eigenvoice space is a popular method for rapid speaker adaptation. To improve the performance of the method and to obtain stabilized results, the number of speakerdependent models should be increased and a greater number of eigenvoices should be re-estimated. However, the huge computation time required to find eigenvoices makes these solutions difficult, especially in a continuous speech recognition system. This paper describes a method to reduce computation time by estimating eigenvoices only for supplementary speaker-dependent models and merging them with the used eigenvoices. Experimental results show that the computation time is reduced by 73.7% while the performance is almost the same when the numbers of speaker-dependent models in two sets to be merged are the same.


doi: 10.21437/Interspeech.2005-162

Cite as: Choi, D.-j., Oh, Y.-H. (2005) Rapid speaker adaptation for continuous speech recognition using merging eigenvoices. Proc. Interspeech 2005, 297-300, doi: 10.21437/Interspeech.2005-162

@inproceedings{choi05_interspeech,
  author={Dong-jin Choi and Yung-Hwan Oh},
  title={{Rapid speaker adaptation for continuous speech recognition using merging eigenvoices}},
  year=2005,
  booktitle={Proc. Interspeech 2005},
  pages={297--300},
  doi={10.21437/Interspeech.2005-162}
}