Speaker Identification by Multi-Frame Generative Models

  • Authors:
  • Donato Impedovo;Mario Refice

  • Affiliations:
  • -;-

  • Venue:
  • IAS '08 Proceedings of the 2008 The Fourth International Conference on Information Assurance and Security
  • Year:
  • 2008

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.