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LabelBuddy: An Open Source Music and Audio Language Annotation Tagging Tool Using AI Assistance
arXiv – CS AI|Ioannis Prokopiou, Ioannis Sina, Agisilaos Kounelis, Pantelis Vikatos, Themos Stafylakis|
🤖AI Summary
Researchers have introduced LabelBuddy, an open-source audio annotation tool that uses AI assistance to bridge the gap between human intent and machine understanding in music information retrieval. The tool features collaborative tagging, containerized AI model backends, and supports multi-user consensus for creating richer audio datasets.
Key Takeaways
- →LabelBuddy is a new open-source tool for AI-assisted audio and music annotation that addresses infrastructure gaps in the field.
- →The tool decouples interface from inference using containerized backends, allowing users to integrate custom AI models.
- →It supports multi-user consensus and collaborative tagging to capture subjective nuances in audio annotation.
- →The system is designed to advance Machine Learning and Large Audio Language Models in Music Information Retrieval.
- →Code is publicly available on GitHub, promoting open-source development in audio AI research.
#open-source#audio-ai#music-information-retrieval#annotation-tool#machine-learning#collaborative-tagging#ai-research
Read Original →via arXiv – CS AI
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