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HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug b…
CyberSecurity BLUE TEAM containerized platform that brings together open-source tools for SIEM, DFIR, CTI, SOAR, and Network Analysis
MineContext is your proactive context-aware AI partner(Context-Engineering+ChatGPT Pulse)
A Free Library for Speaker Recognition (Verification),implemented by ncnn.
OK影视、tvbox配置文件,如果喜欢,请Fork自用。使用前请仔细阅读仓库说明,一旦使用将被视为你已了解。
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
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Binary classification problem that aims to classify human voices from audio recordings. Implemented using PyTorch and Librosa.
Sound Classification using Neural Networks
Environmental sound classification with Convolutional neural networks and the UrbanSound8K dataset.
A librosa STFT/Fbank/mfcc feature extration written up in PyTorch using 1D Convolutions.
Librosa equivalent Java library to process audio file adn extract features from it.
Speech Emotion Recognition (SER) in real-time, using Deep Neural Networks (DNN) of Long Short Memory Term (LSTM).
Human Emotion Understanding using multimodal dataset.
In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal…
基于PaddlePaddle实现的音频分类,支持EcapaTdnn、PANNS、TDNN、Res2Net、ResNetSE等各种模型,还有多种预处理方法
Easier audio-based machine learning with TensorFlow.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Lightweight and Interpretable ML Model for Speech Emotion Recognition and Ambiguity Resolution (trained on IEMOCAP dataset)
Understanding emotions from audio files using neural networks and multiple datasets.