This study consists of two experiments*. Experiment A investigates speaker-information distribution in the parametric domain. Experiment B compares different weighting strategies for speaker-information enhancement. The results indicate that weightings based on speaker-information distribution in the parametric domain yield better speaker recognition performance. how it statistically affects the separation of this speaker from the rest speakers in the database. The degree of its effect can be used as an indicator of the amount of speaker-information coded in that particular MFCC coefficient.
Cite as: Chen, F. (2000) Speaker information enhancement. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 1, 758-761, doi: 10.21437/ICSLP.2000-188
@inproceedings{chen00d_icslp,
author={Fangxin Chen},
title={{Speaker information enhancement}},
year=2000,
booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
pages={vol. 1, 758-761},
doi={10.21437/ICSLP.2000-188}
}