End-to-End Speech Processing Toolkit

Unofficial PyTorch implementation of Google AI's VoiceFilter system

Deep Recurrent Neural Networks for Source Separation

A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

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

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Real-time GCC-NMF Blind Speech Separation and Enhancement

Tools for Speech Enhancement integrated with Kaldi

Deep learning based speech source separation using Pytorch

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation"

Speech Enhancement based on DNN (Spectral-Mapping, TF-Masking), DNN-NMF, NMF

Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement

deep clustering method for single-channel speech separation

Speech separation with utterance-level PIT experiments

Deep neural network (DNN) for noise reduction, removal of background music, and speech separation

Executable code based on Google articles

Pytorch implements Deep Clustering: Discriminative Embeddings For Segmentation And Separation

A unofficial Pytorch implementation of Google's VoiceFilter

A PyTorch implementation of Time-domain Audio Separation Network (TasNet) with Permutation Invariant Training (PIT) for speech separation.

According to funcwj's uPIT, the training code supporting multi-gpu is written, and the Dataloader is reconstructed.

Script to calculate SNR and SDR using python

Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem

This is the code&dataset for our paper [Modeling Attention and Memory for Auditory Selection in a Cocktail Party Environment. AAAI 2018]

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

A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.