ODYSSEY 2004 - The Speaker and Language Recognition Workshop
May 31 - June 3, 2004
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.
Bibliographic reference. Garcia-Romero, D. / Fierrez-Aguilar, J. / Gonzalez-Rodriguez, Joaquin / Ortega-Garcia, Javier (2004): "On the use of quality measures for text-independent speaker recognition", In ODYS-2004, 105-110.