| Paper: | SP-P3.7 | ||
| Session: | Topics in Speaker and Langauge Recognition | ||
| Time: | Tuesday, May 18, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Speech Processing: Language Identification | ||
| Title: | FUSING LANGUAGE IDENTIFICATION SYSTEMS USING PERFORMANCE CONFIDENCE INDEXES | ||
| Authors: | Jorge Gutiérrez; IRIT - UMR 5505 CNRS INPT UPS | ||
| Jean-Luc Rouas; IRIT - UMR 5505 CNRS INPT UPS | |||
| Régine André-Obrecht; IRIT - UMR 5505 CNRS INPT UPS | |||
| Abstract: | In the field of automatic language identification, several mostly-empirical arithmetic fusion operations are currently done to make a consensus decision from a set of acoustics-based identification systems whose estimated performance is taken into account by means of weighting techniques. This paper presents how to apply the Discriminant Factor Analysis method to formally compute and use weighting performance confidence indexes at the expert and class levels. Moreover, the observation level is also explored. These confidence indexes allow us not only to qualify the identification decision with additional insight by means of a certainty degree but also to provide acoustics-based identification systems with powerful uncertainty-based inference techniques where systems’ a priori performance knowledge is a key heuristic-like element to improve language identification capabilities. | ||
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