chenanbang1216's starred repositories
NN-CUDA-Example
Several simple examples for popular neural network toolkits calling custom CUDA operators.
free-programming-books-zh_CN
:books: 免费的计算机编程类中文书籍,欢迎投稿
CS-Books-Store
你想要的计算机经典书籍,这里都有!
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
CPlusPlusThings
C++那些事
awesome-knowledge-distillation
Awesome Knowledge Distillation
PyQt-Chinese-tutorial
PyQt6中文教程
c-periphery
A C library for peripheral I/O (GPIO, LED, PWM, SPI, I2C, MMIO, Serial) in Linux.
source-han-sans
Source Han Sans | 思源黑体 | 思源黑體 | 思源黑體 香港 | 源ノ角ゴシック | 본고딕
ECAPA-TDNN
Unofficial reimplementation of ECAPA-TDNN for speaker recognition (EER=0.86 for Vox1_O when train only in Vox2)
VoiceprintRecognition-Pytorch
This project uses a variety of advanced voiceprint recognition models such as EcapaTdnn, ResNetSE, ERes2Net, CAM++, etc. It is not excluded that more models will be supported in the future. At the same time, this project also supports MelSpectrogram, Spectrogram data preprocessing methods
torch-stft
An STFT/iSTFT for PyTorch.
LibrosaCpp
LibrosaCpp is a c++ implemention of librosa to compute short-time fourier transform coefficients,mel spectrogram or mfcc
melspectrogram_cpp
C/C++实现Python音频处理库librosa中melspectrogram的计算过程
dual-path-RNNs-DPRNNs-based-speech-separation
A PyTorch implementation of dual-path RNNs (DPRNNs) based speech separation described in "Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation".
Conv-TasNet
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
AFRCNN-For-Speech-Separation
Speech Separation Using an Asynchronous Fully Recurrent Convolutional Neural Network
Speech-Separation-Paper-Tutorial
A must-read paper for speech separation based on neural networks
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.
RNNoise_Wrapper
A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.