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01/16/2020
Shifted and Squeezed 8-bit Floating Point format for Low-Precision Training of Deep Neural Networks
Training with larger number of parameters while keeping fast iterations ...
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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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05/10/2019
Semi-supervised and Population Based Training for Voice Commands Recognition
We present a rapid design methodology that combines automated hyper-para...
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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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11/06/2017
Flexpoint: An Adaptive Numerical Format for Efficient Training of Deep Neural Networks
Deep neural networks are commonly developed and trained in 32-bit floati...
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09/09/2016