This repo contains the official PyTorch implementation of "Audio Super Resolution in the Spectral Domain" (ICASSP 2023)
VoiceRestore: Flow-Matching Transformers for Universal Speech Restoration
Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)
The official PyTorch implementation of VM-ASR, a model designed for high-fidelity audio super-resolution.
This repository contains the source code for the implementation of two deep learning models concerning the audio super resolution task.
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Audio super-resolution: 16kHz → 48kHz using MossFormer2 with MLX (Python & Swift)
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