Virtual Fusion for Speaker Recognition
Yosef Solewicz and Moshe Koppel
In: Interspeech 2007 - Eurospeech, 27-31 Aug 2007, Antwerp, Belgium.
This paper presents a simplified post-classification framework
for enhancing the performance of a given speaker recognition
classifier by means of other “auxiliary” classifiers. We call it
Virtual Fusion, since the assisting classifiers are used only for
training the post-classifier and are not necessary in operating
mode. Experiments performed using Nist’04 and ’05
evaluations suggest that the proposed technique is able to
consistently improve the EER of a typical GMM-cepstrum
classifier by up to 15%.
|EPrint Type:||Conference or Workshop Item (Paper)|
|Project Keyword:||Project Keyword UNSPECIFIED|
|Deposited By:||Yosef Solewicz|
|Deposited On:||13 February 2008|