61 citations · 199 across the 16 of their papers we have counts for
4 papers · 1 filter
Unsupervised Domain Adaptation for Speech Recognition via Uncertainty Driven Self-Training
Sameer Khurana, Niko Moritz, Takaaki Hori +1
The performance of automatic speech recognition (ASR) systems typically degrades significantly when the training and test data domains are mismatched. In this paper, we show that s…
CSTNet: Contrastive Speech Translation Network for Self-Supervised Speech Representation Learning
Sameer Khurana, Antoine Laurent, James Glass
More than half of the 7,000 languages in the world are in imminent danger of going extinct. Traditional methods of documenting language proceed by collecting audio data followed by…
A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning
Sameer Khurana, Antoine Laurent, Wei-Ning Hsu +4
Probabilistic Latent Variable Models (LVMs) provide an alternative to self-supervised learning approaches for linguistic representation learning from speech. LVMs admit an intuitiv…
Robust Training of Vector Quantized Bottleneck Models
Adrian Łańcucki, Jan Chorowski, Guillaume Sanchez +6
In this paper we demonstrate methods for reliable and efficient training of discrete representation using Vector-Quantized Variational Auto-Encoder models (VQ-VAEs). Discrete laten…