Using quality measures for multilevel speaker recognition

The use of quality information for multilevel speaker recognition systems is addressed in this contribution. From a definition of what constitutes a quality measure, two applications are proposed at different phases of the recognition process: scoring and multi-level fusion stages. The traditional likelihood scoring stage is further developed providing guidelines for the practical application of the proposed ideas. Conventional user-independent multilevel Support Vector Machine (SVM) score fusion is also adapted for the inclusion of quality information in the fusion process. In particular, quality measures meeting three different goodness criteria: SNR, F0 deviations and the ITUP.563 objective speech quality assessment are used in the speaker recognition process. Experiments carried out in the Switchboard-I database assess the benefits of the proposed quality-guided recognition approach for both the score computation and score fusion stages. Key words: text-independet speaker recognit...

• Type: Journal
• Year: 2006
• Where: CSL
• Authors: Daniel Garcia-Romero, Julian Fiérrez-Aguilar, Joaquin Gonzalez-Rodriguez, Javier Ortega-Garcia
• Keywords: Automated Reasoning, CSL 2006, Quality Measures, Recognition Process, Speaker Recognition