8th European Conference on Speech Communication and Technology

Geneva, Switzerland
September 1-4, 2003


Speaker Modeling from Selected Neighbors Applied to Speaker Recognition

Yassine Mami, Delphine Charlet

France Telecom R&D, France

This paper addresses the estimation of a speaker GMM through the selection and merging of a set of neighbors models for that speaker. The selection of the neighbors models is based on the likelihood score for the training data on a set of potential neighbor GMM. Once the neighbors models are selected, they are merged to give a model of the speaker, which can also be used as an a priori model for an adaptation phase. Experiments show that merging neighborhood models captures significant information about the speaker but doesn't improve significantly compared to classical UBM-adapted GMM.

Full Paper

Bibliographic reference.  Mami, Yassine / Charlet, Delphine (2003): "Speaker modeling from selected neighbors applied to speaker recognition", In EUROSPEECH-2003, 2629-2632.