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
Most implemented papers
Neural Vocoder is All You Need for Speech Super-resolution
In this paper, we propose a neural vocoder based speech super-resolution method (NVSR) that can handle a variety of input resolution and upsampling ratios.
Nonparallel High-Quality Audio Super Resolution with Domain Adaptation and Resampling CycleGANs
Neural audio super-resolution models are typically trained on low- and high-resolution audio signal pairs.
AERO: Audio Super Resolution in the Spectral Domain
slp-rl/aero
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We optimize the model using both time and frequency domain loss functions.
AudioSR: Versatile Audio Super-resolution at Scale
haoheliu/versatile_audio_super_resolution
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Audio super-resolution is a fundamental task that predicts high-frequency components for low-resolution audio, enhancing audio quality in digital applications.
