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.
['Donato Impedovo', 'Mario Refice']
Speaker Identification by Multi-Frame Generative Models