muzihuole

muzihuole

Geek Repo

Company:People's Public Security University of China

Location:Beijing,China

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muzihuole's repositories

FoolHD

Repository for the source code and adversarial samples of FoolHD

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DeepLip

deep-learning based audio-visual lip bometrics

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muzihuole

Config files for my GitHub profile.

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text-classification-pytorch

Pytorch implementation of RNN, CNN, BiGRU and LSTM for text classifcation

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gard-adversarial-speaker-id

Adversarial attack and defense strategies for deep speaker recognition systems

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Multimodal-Emotion-Recognition

This repository contains the code for the paper `End-to-End Multimodal Emotion Recognition using Deep Neural Networks`.

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speech_data_augment

A summary of speech data augment algorithms

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-Speech-signal-processing-experiment-tutorial-_python

《语音信号处理试验教程》(梁瑞宇等)的代码主要是Matlab实现的,现在Python比较热门,所以把这个项目大部分内容写成了Python实现

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audio_adversarial_examples

Targeted Adversarial Examples on Speech-to-Text systems

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DeepSpeaker-pytorch

Speaker embedding(verification and recognition) using Pytorch

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Music-Genre-Classification

Perform three types of feature extraction: STFT, MFCC and MelSpectrogram. Apply CNN/VGG with or without RNN architecture. Able to achieve 95% accuracy.

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lip-reading-deeplearning

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

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asvspoof2019

Our submission to the ASVspoof 2019: Automatic Speaker Verification Spoofing and Countermeasures Challenge

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adversarial-attack-on-GMM-i-vector-based-speaker-verification-systems

Implementation of Adversarial Attacks on GMM i-vector based Speaker Verification Systems (ICASSP2020) https://arxiv.org/abs/1911.03078

License:Apache-2.0Stargazers:1Issues:0Issues:0

WS-DAN.PyTorch

A PyTorch implementation of WS-DAN (Weakly Supervised Data Augmentation Network) for FGVC (Fine-Grained Visual Classification)

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SpeechGenderRecognition

Recognize call recordings gender

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cnn-lstm-bilstm-deepcnn-clstm-in-pytorch

In PyTorch Learing Neural Networks Likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

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Malware-GAN

Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017

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