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A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.

deep clustering method for single-channel speech separation

FSL-Mate: A collection of resources for few-shot learning (FSL).

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners

🤖 PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

assistant tools for attention visualization in deep learning

A must-read paper for speech separation based on neural networks

Natural Language Processing Tutorial for Deep Learning Researchers

Official implementation of Long-Short Transformer in PyTorch.

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

multi-scale time domain speaker extraction

Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". This paper tackles the problem of the heavy dependence of clean speech data required by deep…

Tools for Speech Enhancement integrated with Kaldi

Easy to use Beamformers for multi-channel speech separation/enhancement

[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

Speech Enhancement Generative Adversarial Network in PyTorch

SpEx+(tied) source code

A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".

Speech quality measure of SDR、SAR、STOI、ESTOI、PESQ via MATLAB

Notebooks for "Python for Signal Processing" book

Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.

Multi-Phase Gammatone Filterbank (MP-GTF) construction for Python