Abstract: In audio classification, developing efficient and robust models is critical for real-time applications. Inspired by the design principles of MobileViT, we present FAST (Fast Audio ...

Abstract: This study proposes a novel multimodal deep learning framework for depression detection, integrating visual, audio, and textual data. Using OpenFace and Librosa for feature extraction, the ...

A production-ready Python development environment template using modern tools: uv for blazing-fast package management, Ruff for lightning-fast linting and formatting, ty for fast and reliable type ...

An open-source framework for analyzing birdsong recordings through acoustic feature extraction, dimensionality reduction, and neural audio synthesis. Transform audio signals into interactive 3D ...