Bob-Hu

Master，IACAS，Speech Enhancement Speech Separation

Pinned Repositories

AdaptiveFilter
This rep contains awesome adaptive filter algorithms in 3 classic books.
Language:MATLAB00
Array-Response-Simulator
A set of routines that simulate array responses for sensors with arbitrary geometry and directional characteristics.
Language:MATLAB0 0 00
athena-signal
Language:C00
audioprocessing
Standard libraries for audio processing, especially STFT and Spherical Harmonics decomposition of a soundfield.
Language:MATLAB00
AutoCreate_C_Project
Auto create c projest CMakeList.txt
Language:Shell0 0 00
AUXIVA_Online_APIver
Language:C++00
awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
0 0 00
beamformers
Easy to use Beamformers for multi-channel speech separation/enhancement
Language:Python0 0 00
BeamformOpt
传感器阵列波束优化设计与应用部分章节程序
Language:MATLAB0 0 00
WebRTC-audio-processing
webrtc audio processing
Language:C++10

Bob-Hu's Repositories

Bob-Hu/WebRTC-audio-processing
webrtc audio processing
Language:C++10
Bob-Hu/audioprocessing
Standard libraries for audio processing, especially STFT and Spherical Harmonics decomposition of a soundfield.
Language:MATLAB00
Bob-Hu/awesome-speech-enhancement
speech enhancement\speech seperation\sound source localization
0 0 00
Bob-Hu/BIRD
Big Impulse Response Dataset
Bob-Hu/cmake-examples
Useful CMake Examples
Bob-Hu/Cone-of-Silence
The Cone of Silence:
Bob-Hu/ConferencingSpeech2021
Conferencing Speech Challenge
Bob-Hu/conformer
Implementation of the convolutional module from the Conformer paper, for use in Transformers
Bob-Hu/COSPA
Complex-valued Spatial Autoencoders for Multichannel Speech Enhancement
Bob-Hu/crepe
CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)
Bob-Hu/DeepXi
Deep Xi: A Deep Learning Approach to A Priori SNR Estimation. Used for Speech Enhancement and robust ASR.
Bob-Hu/Good_open_source_library
Mainly on audio(speech/voice/sound...) also with others
Bob-Hu/InterpretableMLBook
《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版
Bob-Hu/music_source_separation
Bob-Hu/onssen
An open-source speech separation and enhancement library
Bob-Hu/Percepnet-Keras
percepnet implemented using Keras, still need to be optimized and tuned.
Bob-Hu/Phase_aware_Deep_Complex_UNet
Implementation Phase-aware Speech Enhancement with Deep Complex U-Net
Bob-Hu/pyannote-audio
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, speaker embedding
Bob-Hu/PyTorch_Tutorial
《Pytorch模型训练实用教程》中配套代码
Bob-Hu/separation_data_preparation
Data preparation for separation
Bob-Hu/setk
Tools for Speech Enhancement integrated with Kaldi
Bob-Hu/sgmse
Score-based Generative Models (Diffusion Models) for Speech Enhancement and Dereverberation
Bob-Hu/sgmse-bbed
TODO
Bob-Hu/sound-separation
Bob-Hu/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
Bob-Hu/Speech-Separation-Paper-Tutorial
A must-read paper for speech separation based on neural networks
Bob-Hu/speechmetrics
A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR
Bob-Hu/sse2neon
C/C++ header converting Intel SSE intrinsics to Arm/Aarch64 NEON intrinsics
1
Bob-Hu/TAC
transform-average-concatenate (TAC) method for end-to-end microphone permutation and number invariant ad-hoc beamforming.
Bob-Hu/torchsubband
Pytorch implementation of subband decomposition