8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Gaussian Dynamic Warping (GDW) Method Applied to Text-Dependent Speaker Detection and Verification

Jean-Francois Bonastre (1), Philippe Morin (2), Jean-Claude Junqua (2)

(1) LIA-CNRS, France
(2) Panasonic Speech Technology Laboratory, USA

This paper introduces a new acoustic modeling method called Gaussian Dynamic Warping (GDW). It is targeting real world applications such as voice-based entrance door security systems, the example presented in this paper. The proposed approach uses a hierarchical statistical framework with three levels of specialization for the acoustic modeling. The highest level of specialization is in addition responsible for the modeling of the temporal constraints via a specific Temporal Structure Information (TSI) component. The preliminary results show the ability of the GDW method to elegantly take into account the acoustic variability of speech while capturing important temporal constraints.

Full Paper

Bibliographic reference.  Bonastre, Jean-Francois / Morin, Philippe / Junqua, Jean-Claude (2003): "Gaussian dynamic warping (GDW) method applied to text-dependent speaker detection and verification", In EUROSPEECH-2003, 2013-2016.