Ivan Magrin-Chagnolleau, Joachim Wilke and Frédéric Bimbot.
A Further Investigation on AR-Vector Models for Text-Independent Speaker Identification.
Proceedings of ICASSP 96, Vol. 1, pp. 401-404, Atlanta, United States, May 1996.

Abstract: In this paper, we investigate on the role of dynamic information on
the performances of AR-vector models for speaker recognition. To this purpose,
we design an experimental protocol that destroys the time structure of speech
frame sequences, which we compare to a more conventional one, i.e. keeping the
natural time order. These results are also compared with those obtained with a
(single) Gaussian model. Several measures are systematically investigated in
the three cases, and different ways of symmetrisation are tested. We observe
that the destruction of the time order can be a factor of improvement for the
AR-vector models, and that results obtained with the Gaussian model are merely
always better. In most cases, symmetrisation is beneficial.