7 citations · 13 across the 5 of their papers we have counts for
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stat.ML2017
Language-depedent I-Vectors for LRE15
Niko Brümmer, Albert Swart
A standard recipe for spoken language recognition is to apply a Gaussian back-end to i-vectors. This ignores the uncertainty in the i-vector extraction, which could be important es…
stat.ML2017
A Generative Model for Score Normalization in Speaker Recognition
Albert Swart, Niko Brummer
We propose a theoretical framework for thinking about score normalization, which confirms that normalization is not needed under (admittedly fragile) ideal conditions. If, however,…