Xu-Kaibo's Stars
vbelz/Speech-enhancement
Deep learning for audio denoising
pseeth/torch-stft
An STFT/iSTFT for PyTorch.
seorim0/DNN-based-Speech-Enhancement-in-the-frequency-domain
DNN-based SE in the frequency domain using Pytorch. You can test some state-of-the-art networks using T-F masking or spectral mapping method.
gemengtju/Tutorial_Separation
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
nanahou/Awesome-Speech-Enhancement
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.
Audio-WestlakeU/FullSubNet
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
Ryuk17/SpeechAlgorithms
Speech Algorithms
pheepa/DCUnet
Phase-aware speech enchancement with Deep Complex U-Net
santi-pdp/segan_pytorch
Speech Enhancement Generative Adversarial Network in PyTorch
haoxiangsnr/IRM-based-Speech-Enhancement-using-LSTM
Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM
haoxiangsnr/Wave-U-Net-for-Speech-Enhancement
Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
kaituoxu/Conv-TasNet
A PyTorch implementation of Conv-TasNet described in "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" with Permutation Invariant Training (PIT).
f90/Wave-U-Net-Pytorch
Improved Wave-U-Net implemented in Pytorch
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
Mr-TalhaIlyas/Tensorflow-Keras-Model-Profiler
Tensorflow-Keras Model Profiler: Tells you model's memory requirement, no. of parameters, flops etc.
facebookresearch/denoiser
Real Time Speech Enhancement in the Waveform Domain (Interspeech 2020)We provide a PyTorch implementation of the paper Real Time Speech Enhancement in the Waveform Domain. In which, we present a causal speech enhancement model working on the raw waveform that runs in real-time on a laptop CPU. The proposed model is based on an encoder-decoder architecture with skip-connections. It is optimized on both time and frequency domains, using multiple loss functions. Empirical evidence shows that it is capable of removing various kinds of background noise including stationary and non-stationary noises, as well as room reverb. Additionally, we suggest a set of data augmentation techniques applied directly on the raw waveform which further improve model performance and its generalization abilities.
breizhn/DTLN
Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.
breizhn/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.
IMYBo/SDDNet
Coarse implement of the paper "A Simultaneous Denoising and Dereverberation Framework with Target Decoupling", On DNS-2020 dataset, the DNSMOS of first stage is 3.42 and second stage is 3.47.
sooftware/End-to-End-Speech-Recognition-Models
PyTorch implementation of automatic speech recognition models.
nicklashansen/voice-activity-detection
Voice Activity Detection (VAD) using deep learning.
usc-sail/mica-speech-activity-detection
Robust Speech Activity Detection (SAD) in movie audio
jtkim-kaist/VAD
Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.
hfawaz/dl-4-tsc
Deep Learning for Time Series Classification
keon/pytorch-exercises
Pytorch exercises
tjdgns0928/MultiTarget_VAD
Representation of Paper: On training targets for noise-robust voice activity detection.
untergunter/voice-activity-detection
In this project we are exploring different methods of deep learning in order to identify voice activity detection in audio files that include interference
filippogiruzzi/voice_activity_detection
Voice Activity Detection based on Deep Learning & TensorFlow
pyannote/pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
hbredin/DomainAdversarialVoiceActivityDetection
Code for reproducing experiments in "Domain-Adversarial Voice Activity Detection"