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06/02/2022
Fast Benchmarking of Accuracy vs. Training Time with Cyclic Learning Rates
Benchmarking the tradeoff between neural network accuracy and training t...
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08/26/2021
When and how epochwise double descent happens
Deep neural networks are known to exhibit a `double descent' behavior as...
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05/30/2021
On the geometry of generalization and memorization in deep neural networks
Understanding how large neural networks avoid memorizing training data i...
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06/01/2020
Emergence of Separable Manifolds in Deep Language Representations
Deep neural networks (DNNs) have shown much empirical success in solving...
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03/03/2020
Untangling in Invariant Speech Recognition
Encouraged by the success of deep neural networks on a variety of visual...
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09/30/2019
Semi-supervised voice conversion with amortized variational inference
In this work we introduce a semi-supervised approach to the voice conver...
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05/09/2019
Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion
We present a method for converting the voices between a set of speakers....
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04/30/2019
Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support
We present a Cycle-GAN based many-to-many voice conversion method that c...
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04/27/2018
Deep Speech Denoising with Vector Space Projections
We propose an algorithm to denoise speakers from a single microphone in ...
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04/13/2018
Voices Obscured in Complex Environmental Settings (VOICES) corpus
This paper introduces the Voices Obscured In Complex Environmental Setti...
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05/12/2017