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10/21/2020
Real-time Speech Frequency Bandwidth Extension
In this paper we propose a lightweight model for frequency bandwidth ext...
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09/04/2020
SEANet: A Multi-modal Speech Enhancement Network
We explore the possibility of leveraging accelerometer data to perform s...
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08/05/2020
Learning to Denoise Historical Music
We propose an audio-to-audio neural network model that learns to denoise...
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01/31/2020
Training Keyword Spotters with Limited and Synthesized Speech Data
With the rise of low power speech-enabled devices, there is a growing de...
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10/25/2019
Learning audio representations via phase prediction
We learn audio representations by solving a novel self-supervised learni...
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10/25/2019
SPICE: Self-supervised Pitch Estimation
We propose a model to estimate the fundamental frequency in monophonic a...
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05/24/2019
From Here to There: Video Inbetweening Using Direct 3D Convolutions
We consider the problem of generating plausible and diverse video sequen...
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05/24/2019
Self-supervised audio representation learning for mobile devices
We explore self-supervised models that can be potentially deployed on mo...
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12/20/2018
Fréchet Audio Distance: A Metric for Evaluating Music Enhancement Algorithms
We propose the Fréchet Audio Distance (FAD), a novel, reference-free eva...
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12/19/2018
An Empirical Study of Generative Models with Encoders
Generative adversarial networks (GANs) are capable of producing high qua...
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10/31/2018
Low-Dimensional Bottleneck Features for On-Device Continuous Speech Recognition
Low power digital signal processors (DSPs) typically have a very limited...
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11/29/2017