作者: Robbie Vogt , Sridha Sridharan , Jason W. Pelecanos , Sachin S. Kajarekar , Nicolas Scheffer
DOI:
关键词:
摘要: This work presents an extended Joint Factor Analysis model including explicit modelling of unwanted within-session variability. The goals the proposed JFA are to improve verification performance with short utterances by compensating for effects limited or imbalanced phonetic coverage, and produce a flexible that is effective over wide range utterance lengths without adjusting parameters such as retraining session subspaces. Experimental results on 2006 NIST SRE corpus demonstrate flexibility providing competitive also yielding modest improvements in number conditions current state-of-the-art.