Audio Super-Resolution
14 papers with code • 4 benchmarks • 3 datasets
AUDIO SUPER-RESOLUTION or speech bandwidth extension (Upsampling Ratio = 2)
Benchmarks
These leaderboards are used to track progress in Audio Super-Resolution
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VCTK
MedleyDB 2.0
Latest papers with no code
Gull: A Generative Multifunctional Audio Codec
We introduce Gull, a generative multifunctional audio codec.
Edge Storage Management Recipe with Zero-Shot Data Compression for Road Anomaly Detection
However, the edge computers will have small data storage but we need to store the collected audio samples for a long time in order to update existing models or develop a novel method.
An investigation of pre-upsampling generative modelling and Generative Adversarial Networks in audio super resolution
Our paper compares the pre-upsampling AudioUNet to a new generative model that upsamples the signal before using deep learning to transform it into a more believable signal.
Learning to Have an Ear for Face Super-Resolution
To combine the aural and visual modalities, we propose a method to first build the latent representations of a face from the lone audio track and then from the lone low-resolution image.
Adversarial Audio Super-Resolution with Unsupervised Feature Losses
Neural network-based methods have recently demonstrated state-of-the-art results on image synthesis and super-resolution tasks, in particular by using variants of generative adversarial networks (GANs) with supervised feature losses.
