AI TrackMate: Finally, Someone Who Will Give Your Music More Than Just "Sounds Great!"
Yi-Lin Jiang, Chia-Ho Hsiung, Yen-Tung Yeh, Lu-Rong Chen, Bo-Yu Chen

TL;DR
AI TrackMate is an innovative LLM-based music chatbot that provides detailed, production-specific feedback by analyzing audio tracks, helping independent producers objectively evaluate and improve their music creations.
Contribution
This work introduces AI TrackMate, a novel system combining audio analysis with language models to deliver actionable music production feedback without requiring training.
Findings
Demonstrated effective feedback through an interactive web interface.
Pilot study shows potential for supporting independent music producers.
System is adaptable to various LLMs and future advancements.
Abstract
The rise of "bedroom producers" has democratized music creation, while challenging producers to objectively evaluate their work. To address this, we present AI TrackMate, an LLM-based music chatbot designed to provide constructive feedback on music productions. By combining LLMs' inherent musical knowledge with direct audio track analysis, AI TrackMate offers production-specific insights, distinguishing it from text-only approaches. Our framework integrates a Music Analysis Module, an LLM-Readable Music Report, and Music Production-Oriented Feedback Instruction, creating a plug-and-play, training-free system compatible with various LLMs and adaptable to future advancements. We demonstrate AI TrackMate's capabilities through an interactive web interface and present findings from a pilot study with a music producer. By bridging AI capabilities with the needs of independent producers, AI…
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Taxonomy
TopicsMusic Technology and Sound Studies · Music and Audio Processing
