LabelBuddy: An Open Source Music and Audio Language Annotation Tagging Tool Using AI Assistance
The advancement of Machine learning (ML), Large Audio Language Models (LALMs), and autonomous AI agents in Music Information Retrieval (MIR) necessitates a shift from static tagging to rich, human-aligned representation learning. However, the scarcity of open-source infrastructure capable of capturing the subjective nuances of audio annotation remains a critical bottleneck. This paper introduces \textbf{LabelBuddy}, an open-source collaborative auto-tagging audio annotation tool designed to bridge the gap between human intent and machine understanding. Unlike static tools, it decouples the interface from inference via containerized backends, allowing users to plug in custom models for AI-...
| Authors | Ioannis Prokopiou, Ioannis Sina, Agisilaos Kounelis et al. |
|---|---|
| Primary category | cs.SD |
| Published | 4 March 2026 |
| Last updated at source | 4 March 2026 |
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