The use of quality information on automatic recognition systems is studied. From an apparent definition of what constitutes a quality measure, a framework for the successful exploitation of the quality information is derived. Potential applications are also introduced at different phases of the recognition process, namely: enrollment, scoring and multi-level fusion stages. Traditional likelihood scoring stage is further developed providing guidelines for the practical application of the proposed ideas. Preliminary experiments corroborate the benefits of the proposed quality-guided recognition approach. In particular, a frame-level quality measure meeting a goodness criterion based on deviation from the fundamental frequency is used, obtaining encouraging initial results.
Cite as: Garcia-Romero, D., Fierrez-Aguilar, J., Gonzalez-Rodriguez, J., Ortega-Garcia, J. (2004) On the use of quality measures for text-independent speaker recognition. Proc. The Speaker and Language Recognition Workshop (Odyssey 2004), 105-110
@inproceedings{garciaromero04_odyssey,
author={D. Garcia-Romero and J. Fierrez-Aguilar and Joaquin Gonzalez-Rodriguez and Javier Ortega-Garcia},
title={{On the use of quality measures for text-independent speaker recognition}},
year=2004,
booktitle={Proc. The Speaker and Language Recognition Workshop (Odyssey 2004)},
pages={105--110}
}