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
AEC_DeepModel
基于深度学习的声学回声消除基线代码
books-1
整理一些书籍 ,关于深度学习~
dcase2020_task2_baseline
DCASE2020 Challenge Task 2 baseline system
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.
DTLN-aec-TensorFlow
This Repostory contains the pretrained DTLN-aec model for real-time acoustic echo cancellation.
Google-Voice-Separation-voicefilter
Unofficial PyTorch implementation of Google AI's VoiceFilter system
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/AEC_DeepModel
基于深度学习的声学回声消除基线代码
YoungJay0612/attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
YoungJay0612/BinauralSpeechSynthesis
N/A
YoungJay0612/conformer
PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
YoungJay0612/Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
YoungJay0612/DARCN
The implementation of "A Recursive Network with Dynamic Attention for Monaural Speech Enhancement"
YoungJay0612/EQ-iir
YoungJay0612/GCRN-complex-for-monaural-speech-enhancement
YoungJay0612/IR-GAN
Augmenting Room Impulse Response
YoungJay0612/Listening-to-Sound-of-Silence-for-Speech-Denoising
[NeurIPS 2020] Official repository for the project "Listening to Sound of Silence for Speech Denoising"
YoungJay0612/Noise2Noise-audio_denoising_without_clean_training_data
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 learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
YoungJay0612/OMLSA-IMCRA
Python implementation of OMLSA+IMCRA algorithm for speech enhancement.
YoungJay0612/Pretrained-Language-Model
Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.
YoungJay0612/pysepm
Python implementation of performance metrics in Loizou's Speech Enhancement book
YoungJay0612/PyTorch-Distributed-Training-Framework.
The pure and clear PyTorch Distributed Training Framework.
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/RoomParamEstim
This is the code for the WASPAA 2021 paper "Blind Room Parameter Estimation Using Multiple Multichannel Speech Recordings
YoungJay0612/sb-baseline
baseline beamformer + enhancement +ASR?
YoungJay0612/seld-dcase2021
Baseline method for sound event localization task of DCASE 2021 challenge
YoungJay0612/shennong
A Python toolbox for speech features extraction
YoungJay0612/sound-source-localization-algorithm_DOA_estimation
关于语音信号声源定位DOA估计所用的一些传统算法
YoungJay0612/sound_field_analysis-py
Analyze, visualize and process sound field data recorded by spherical microphone arrays.
YoungJay0612/SpecAugment
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
YoungJay0612/specmix
This is a project of Interspeech2021 paper "SpecMix : A Mixed Sample Data Augmentation method for Training with Time-Frequency Domain Features"
YoungJay0612/Speech-Enhancement-Measures
speech enhancement metrics:CSIG, CBAK, CMOS, SSNR, PESQ, STOI, ESTOI, SNR, IS, LLR, WSS
YoungJay0612/speechmetrics
A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR
YoungJay0612/torch-audiomentations
Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.
YoungJay0612/TS-RIR
Translating Synthetic RIRs to Real RIRs
YoungJay0612/TSTNN
transformer based neural network for speech enhancement in time domain
YoungJay0612/visqol
Perceptual Quality Estimator for speech and audio