Hi everyone,
I recently built ChordMini, an open-source tool that uses deep learning models and LLM to analyze songs and provide:
Chord recognition with 301 chord labels ( 12 keys x 25 types + N)
Guitar chord diagrams (currently no inversion labels)
Beat tracking and synchronized chord progression visualization (with metronome)
Lyrics integration (lrc & model transcription with music.ai api)
LLM used for further abstract analysis (key/tonal modulation correction, song analysis, and structural segmentation through color coded in the beat chord grid).
The webpage is at: ChordMini
The repo is at Github if you are interested.
Feedback, questions, suggestions are very welcome and any contribution is appreciated!
