ZhouZhenkun

MockingBird

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

gpt-crawler

Crawl a site to generate knowledge files to create your own custom GPT from a URL

DALL-E

PyTorch package for the discrete VAE used for DALL·E.

FunASR

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

DeepFilterNet

Noise supression using deep filtering

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.

SpeechT5

Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

awesome-speech-enhancement

speech enhancement\speech seperation\sound source localization

DeepTraffic

Deep Learning models for network traffic classification

Speech-enhancement

Deep learning for audio denoising

DTLN

Tensorflow 2.x implementation of the DTLN real time speech denoising model. With TF-lite, ONNX and real-time audio processing support.

TeleSpeech-ASR

ET-BERT

The repository of ET-BERT, a network traffic classification model on encrypted traffic. The work has been accepted as The Web Conference (WWW) 2022 accepted paper.

PercepNet

Unofficial implementation of PercepNet: A Perceptually-Motivated Approach for Low-Complexity, Real-Time Enhancement of Fullband Speech

Deep-Packet

Pytorch implementation of deep packet: a novel approach for encrypted traffic classification using deep learning

network_traffic_classification_paper

收集了部分将机器学习应用于网络流量分类的论文

Encrypted_Traffic_Classification

using deep learning to classify the encrypted network traffic

PrivPkt

Privacy Preserving Collaborative Encrypted Network Traffic Classification (Differential Privacy, Federated Learning, Membership Inference Attack, Encrypted Traffic Classification)

DCCRN-with-various-loss-functions

DCCRN with various loss functions

FS-Net

Code for “FS-Net: A Flow Sequence Network For Encrypted Traffic Classification”

IoT23-network-traffic-anomalies-classification

AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset

Network-traffic-classification

《基于卷积神经网络（CNN）的网络流量分类》优秀本科毕设相关文档

Network-Traffic-Classification

NSNet

This in an implementation of NSNet in PyTorch and PyTorch Lightning. NSNet is a recurrent neural network for single channel speech enhancement.

Traffic-Classification

Code for Intrusion Detection Systems and Encrypted Traffic Classification [No Further Updates]

ETC_CNN

Encrypted traffic classification use CNN

sgmse-bbed

TODO

Pytorch-Encrypted-Traffic-Classification-with-1D_CNN

论文Encrypted Traffic Classification with One-dimensional Convolution Neural Networks的torch实现

VPIDM

This is official repository of new SOTA diffusion models based method for speech enhancement

Libri_VAD

Script to generate VAD dataset used in Asteroid recipe