Search Results for author: Cory Stephenson

Found 8 papers, 3 papers with code

On the geometry of generalization and memorization in deep neural networks

no code implementations ICLR 2021 Cory Stephenson, Suchismita Padhy, Abhinav Ganesh, Yue Hui, Hanlin Tang, SueYeon Chung

Understanding how large neural networks avoid memorizing training data is key to explaining their high generalization performance.

Emergence of Separable Manifolds in Deep Language Representations

1 code implementation ICML 2020 Jonathan Mamou, Hang Le, Miguel Del Rio, Cory Stephenson, Hanlin Tang, Yoon Kim, SueYeon Chung

In addition, we find that the emergence of linear separability in these manifolds is driven by a combined reduction of manifolds' radius, dimensionality and inter-manifold correlations.

Untangling in Invariant Speech Recognition

1 code implementation NeurIPS 2019 Cory Stephenson, Jenelle Feather, Suchismita Padhy, Oguz Elibol, Hanlin Tang, Josh Mcdermott, SueYeon Chung

Higher level concepts such as parts-of-speech and context dependence also emerge in the later layers of the network.

Speech Recognition

Semi-supervised voice conversion with amortized variational inference

no code implementations30 Sep 2019 Cory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol

In this work we introduce a semi-supervised approach to the voice conversion problem, in which speech from a source speaker is converted into speech of a target speaker.

Variational Inference Voice Conversion

Adversarially Trained Autoencoders for Parallel-Data-Free Voice Conversion

no code implementations9 May 2019 Orhan Ocal, Oguz H. Elibol, Gokce Keskin, Cory Stephenson, Anil Thomas, Kannan Ramchandran

Due to the use of a single encoder, our method can generalize to converting the voice of out-of-training speakers to speakers in the training dataset.

Voice Conversion

Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support

no code implementations30 Apr 2019 Gokce Keskin, Tyler Lee, Cory Stephenson, Oguz H. Elibol

We present a Cycle-GAN based many-to-many voice conversion method that can convert between speakers that are not in the training set.

Speaker Identification Voice Conversion

Deep Speech Denoising with Vector Space Projections

no code implementations27 Apr 2018 Jeff Hetherly, Paul Gamble, Maria Barrios, Cory Stephenson, Karl Ni

We propose an algorithm to denoise speakers from a single microphone in the presence of non-stationary and dynamic noise.

Denoising Speech Denoising

Monaural Audio Speaker Separation with Source Contrastive Estimation

1 code implementation12 May 2017 Cory Stephenson, Patrick Callier, Abhinav Ganesh, Karl Ni

Although the matrix determined by the output weights is dependent on a set of known speakers, we only use the input vectors during inference.

Speaker Separation

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