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
@article{arxiv.2601.02101,
title = {A Mamba-Based Model for Automatic Chord Recognition},
author = {Chunyu Yuan and Johanna Devaney},
journal= {arXiv preprint arXiv:2601.02101},
year = {2026}
}
Comments
International Society of Music Information Retrieval, Late-Breaking Demo 2024