On the use of quality measures for text-independent speaker recognition.
Daniel Garcia-Romero, Julián Fiérrez, Joaquín González-Rodríguez, Javier Ortega-García · 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.