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audio-analysis

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

dccrn

implementation of "DCCRN-Deep Complex Convolution Recurrent Network for Phase-Aware Speech Enhancement" by pytorch

dns-challenge

This repo contains the scripts, models and required files for the Interspeech 2020 Deep Noise Suppression (DNS) Challenge. We are open sourcing clean speech and noise files as well. Participants of this challenge will use the scripts from this repo to create data to train their noise suppressors. They will compare their method with our baseline noise suppressor and report the results.

dtln

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

flask-tutorial

For testing out GitHub Desktop

hifi-gan

jump-to-flask

k-wav2vec

ASR model : official implementation of "K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and Syllables"

matnet

codes for the paper "Matrix Encoding Networks for Neural Combinatorial Optimization"

mlops-basics

pytorch-multigpu

Multi GPU Training Code for Deep Learning with PyTorch

rnnoise-windows

This is a RNNoise windows demo. It was modified and restructured so that it can be compiled with MSVC, VS2017, VS2019.

serving-practice

speech-enhancement

vits

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