Deep learning for audio processing

Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Deep learning for audio processing

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

HuBERT content encoders for: A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Hydra is a game launcher with its own embedded bittorrent client

Core Engine of Singing Voice Conversion & Singing Voice Clone

Easily train a good VC model with voice data <= 10 mins!

Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audi…

Singing Voice Conversion Challenge 2023 Starter Kit: FastSVC Reimplementation

A modern and customizable python UI-library based on Tkinter

Implementation of Voicebox, new SOTA Text-to-speech network from MetaAI, in Pytorch

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

BandIt: Cinematic Audio Source Separation

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Baseline multi-resolution cross network model trained using the Divide and Remaster Dataset

Code for the paper Hybrid Spectrogram and Waveform Source Separation

An unofficial PyTorch implementation of Music Source Separation with Band-split RNN for MDX-23 ("Label Noise" Track)

SoftVC VITS Singing Voice Conversion

Vocal Remover using Deep Neural Networks

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

Usefull information for 2021 hse algorithms seminars 2010-1 group