An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.

This repo contains the official PyTorch implementation of "Audio Super Resolution in the Spectral Domain" (ICASSP 2023)

Official pytorch implementation of the paper: "Catch-A-Waveform: Learning to Generate Audio from a Single Short Example" (NeurIPS 2021)

Repo for source code of EBEN: Extreme Bandwidth Extension Network

Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction

Unofficial Pytorch Lightning Implementation of "Real-time Speech Frequency Bandwidth Extension"

Speech to Phoneme, Bandwidth Extension and Speaker Verification using the Vibravox dataset.

This repository contains the source code for the implementation of two deep learning models concerning the audio super resolution task.

Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase Prediction

This is an attempt to list interesting audio bandwidth expansion/super-resolution research works.

Low-complexity Real-time Neural Network for Blind Bandwidth Extension of Wideband Speech demo page

This project replicates a key-value store across 5 distinct servers to increase bandwidth and ensure availability.