241 citations · 1.2k across the 60 of their papers we have counts for
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cs.LG2017★ 151 cited
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu, Yu Zhang, James Glass
We present a factorized hierarchical variational autoencoder, which learns disentangled and interpretable representations from sequential data without supervision. Specifically, we…
cs.CL2017
Unsupervised Domain Adaptation for Robust Speech Recognition via Variational Autoencoder-Based Data Augmentation
Wei-Ning Hsu, Yu Zhang, James Glass
Domain mismatch between training and testing can lead to significant degradation in performance in many machine learning scenarios. Unfortunately, this is not a rare situation for…
cs.CL2017
Learning Latent Representations for Speech Generation and Transformation
Wei-Ning Hsu, Yu Zhang, James Glass
An ability to model a generative process and learn a latent representation for speech in an unsupervised fashion will be crucial to process vast quantities of unlabelled speech dat…