[CVPR 2025] Pytorch implementation of the paper "Hearing Anywhere in Any Environment"

A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks.

This project develops an autonomous hexapod robot using auditory scene analysis for navigation. It integrates sound source localization (DOA) and beamforming via ODAS with a circular microphone array for precise spatial detection. A machine learning-based Keyword Spotting (KWS) module enables voice command recognition for human-robot interaction.

A Curriculum Learning Toolkit for Deep Learning Tasks built on top of autrainer.

Code to reproduce a zero-shot action recognition approach on the Epic-Kitchens dataset.

A music classification project for atarayo, yorushika, yoasobi and zutomayo which based on PyTorch.

Employing Adversarial Machine Learning and Computer Audition for Smartphone-Based Real-Time Arrhythmia Classification in Heart Sounds

Code for training our CoarseSoundNet model with all configurations and scripts.

AI-powered speech analysis system for detecting and repairing stuttering using Wav2Vec2, deep learning, ensemble models, self-training, and vocoder-based speech reconstruction.

An open and practical guide to Edge Audio.

🚀 End-to-end Audio AI platform featuring PyTorch CNNs, ResNet architectures, Mel Spectrogram processing, Modal GPU deployment, FastAPI APIs, and an interactive Next.js visualization dashboard.