YoungJay0612
Focus on Speech Enhancement & Microphone array processing. And now I am focusing on the project of sound source localization.
USTCHeFei
Pinned Repositories
AEC-Summary-Including-Papers-and-Code
记录关于AEC的论文和代码、博客以及相关资料
dcase2020_task2_baseline
DCASE2020 Challenge Task 2 baseline system
DTLN-aec-TensorFlow
This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.
FAST-RIR
This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
Frame-by-frame-closed-form-update-for-mask-based-adaptive-MVDR-beamforming
frame-by-frame speech-enhacement
Google-Voice-Separation-voicefilter
Unofficial PyTorch implementation of Google AI's VoiceFilter system
mayavoz
Pytorch based speech enhancement toolkit.
PhoneFortifiedPerceptualLoss_SE
Improving Perceptual Quality by Phone-Fortified Perceptual Loss for Speech Enhancement
Single-Channel-Speech-Enhancement
Keep track of good articles on speech processing, mainly on speech enhancement, include speech denoise, speech dereverberation and aec、agc, etc.
Speech-Simulation-Tools
语音增强领域的相关数据仿真工具和方法汇总--持续更新
YoungJay0612's Repositories
YoungJay0612/FAST-RIR
This is the official implementation of our neural-network-based fast diffuse room impulse response generator (FAST-RIR) for generating room impulse responses (RIRs) for a given acoustic environment.
YoungJay0612/AI-research-tools
AI 方向好用的科研工具,论文查找、阅读、写作、翻译,编程代码,pytorch相关、数据集查找下载、代码开源等等
YoungJay0612/ast
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
YoungJay0612/Audio-Denoising-Wavelet-Transform
Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique
YoungJay0612/Audio-Enhancement-via-ONMF
YoungJay0612/auditory-model-denoising
YoungJay0612/auraloss
Collection of audio-focused loss functions in PyTorch
YoungJay0612/beamforming
Matlab files for various types of beamforming
YoungJay0612/CopyTranslator
Foreign language reading and translation assistant based on copy and translate.
YoungJay0612/CSS_with_EETransformer
Code for the ICASSP-2021 paper: Don't shoot butterfly with rifles: Multi-channel Continuous Speech Separation with Early Exit Transformer
YoungJay0612/CV_Interview
I hope this repo can help you a lot!
YoungJay0612/DeepFilterNet
Noise supression using deep filtering
YoungJay0612/DPCRN_DNS3
Implementation of paper "DPCRN: Dual-Path Convolution Recurrent Network for Single Channel Speech Enhancement"
YoungJay0612/FFT-DFISTA-and-FFT-DADMM
High-Resolution Source Localization Exploiting the Sparsity of the Beamforming Map
YoungJay0612/MagicData-RAMC-Challenge
对话式AI语音识别及说话人识别挑战赛
YoungJay0612/ML-NLP
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
YoungJay0612/nnAudio
Audio processing by using pytorch 1D convolution network
YoungJay0612/numpy-ml
Machine learning, in numpy
YoungJay0612/OMLSA-IMCRA-Note
Note on Cohen's NS algorithm OMLSA-IMCRA, paper and code implementation
YoungJay0612/pedalboard
🎛 🔊 A Python library for adding effects to audio.
YoungJay0612/performer-pytorch
An implementation of Performer, a linear attention-based transformer, in Pytorch
YoungJay0612/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
YoungJay0612/pyaec
simple and efficient python implemention of a series of adaptive filters. including time domain adaptive filters(lms、nlms、rls、ap、kalman)、nonlinear adaptive filters(volterra filter、functional link adaptive filters)、frequency domain adaptive filters(frequency domain adaptive filter、frequency domain kalman filter) for acoustic echo cancellation.
YoungJay0612/pythonNR
Python implementation of Noise Reduction Algorithm for single microphone ASR
YoungJay0612/pytorch-multi-gpu-training
整理 pytorch 单机多 GPU 训练方法与原理
YoungJay0612/rnnoise-windows
This is a RNNoise windows demo. It was modified and restructured so that it can be compiled with MSVC, VS2017, VS2019.
YoungJay0612/specmix
This is a project of Interspeech2021 paper "SpecMix : A Mixed Sample Data Augmentation method for Training with Time-Frequency Domain Features"
YoungJay0612/SpeechAlgorithms
Speech Algorithms Collections
YoungJay0612/TRUNet
unofficial PyTorch implementation of 《REAL-TIME DENOISING AND DEREVERBERATION WTIH TINY RECURRENT U-NET》
YoungJay0612/Wave-U-Net
Implementation of the Wave-U-Net for audio source separation