1 citations · 1 across the 3 of their papers we have counts for
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To train or not to train adversarially: A study of bias mitigation strategies for speaker recognition
Raghuveer Peri, Krishna Somandepalli, Shrikanth Narayanan
Speaker recognition is increasingly used in several everyday applications including smart speakers, customer care centers and other speech-driven analytics. It is crucial to accura…
An empirical analysis of information encoded in disentangled neural speaker representations
Raghuveer Peri, Haoqi Li, Krishna Somandepalli +2
The primary characteristic of robust speaker representations is that they are invariant to factors of variability not related to speaker identity. Disentanglement of speaker repres…
Robust speaker recognition using unsupervised adversarial invariance
Raghuveer Peri, Monisankha Pal, Arindam Jati +2
In this paper, we address the problem of speaker recognition in challenging acoustic conditions using a novel method to extract robust speaker-discriminative speech representations…