A Mamba-Based Model for Automatic Chord Recognition
By: Chunyu Yuan, Johanna Devaney
Potential Business Impact:
Helps computers understand music chords better.
In this work, we propose a new efficient solution, which is a Mamba-based model named BMACE (Bidirectional Mamba-based network, for Automatic Chord Estimation), which utilizes selective structured state-space models in a bidirectional Mamba layer to effectively model temporal dependencies. Our model achieves high prediction performance comparable to state-of-the-art models, with the advantage of requiring fewer parameters and lower computational resources
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