90 citations · 178 across the 45 of their papers we have counts for
Showing stat.MLShow all
2 papers · 1 filter
stat.ML2015★ 3 cited
Unsupervised Adaptation of SPLDA
Jesús Villalba
State-of-the-art speaker recognition relays on models that need a large amount of training data. This models are successful in tasks like NIST SRE because there is sufficient data…
stat.ML2015
PLDA with Two Sources of Inter-session Variability
Jesús Villalba
In some speaker recognition scenarios we find conversations recorded simultaneously over multiple channels. That is the case of the interviews in the NIST SRE dataset. To take adva…