ISCA Archive Interspeech 2005
ISCA Archive Interspeech 2005

Combining voiceprint and face biometrics for speaker identification using SDWS

Dongdong Li, Yingchun Yang, Zhaohui Wu

The biometric system that uses multiple biometric traits promises higher identification accuracy than identification in either individual domain. To reach this goal, special attention should be paid to the strategies for combining voiceprint and face experts. We propose an improved weighted sum rule based on the scores difference (SDWS) between the genuine speaker class and the mistaken speaker class labeled by each classifier, and demonstrate that the performance of multi-biometric system can be further improved by SDWS. The tests were conducted on a multi-modal database with 54 users We compare our approach with other existing methods and show that SDWS improved performance by about 7.8-13.3%, much better than the others.


doi: 10.21437/Interspeech.2005-370

Cite as: Li, D., Yang, Y., Wu, Z. (2005) Combining voiceprint and face biometrics for speaker identification using SDWS. Proc. Interspeech 2005, 1209-1212, doi: 10.21437/Interspeech.2005-370

@inproceedings{li05c_interspeech,
  author={Dongdong Li and Yingchun Yang and Zhaohui Wu},
  title={{Combining voiceprint and face biometrics for speaker identification using SDWS}},
  year=2005,
  booktitle={Proc. Interspeech 2005},
  pages={1209--1212},
  doi={10.21437/Interspeech.2005-370}
}