Speaker Identification by Multi-Frame Generative Models

In this paper an approach called multi-frame speaker models (MFS) is proposed, in order to cope with performance degradation generally observed over (short and medium) time and trials in speaker identification´s task. The approach, based on generative models, uses multiple frame´s length for speech processing in training and testing phase. A complete multi-expert system is also presented which is able to implement the proposed approach onthe whole set of speakers and to obtain a near optimum for the ER´s reduction.