1 citations · 1 across the 2 of their papers we have counts for
2 papers
eess.AS2023
Self-supervised Learning with Speech Modulation Dropout
Samik Sadhu, Hynek Hermansky
We show that training a multi-headed self-attention-based deep network to predict deleted, information-dense 2-8 Hz speech modulations over a 1.5-second section of a speech utteran…
cs.LG2023★ 1 cited
Stabilized training of joint energy-based models and their practical applications
Martin Sustek, Samik Sadhu, Lukas Burget +4
The recently proposed Joint Energy-based Model (JEM) interprets discriminatively trained classifier as an energy model, which is also trained as a generative model describ…