{"ID":2822570,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2601.02101","arxiv_id":"2601.02101","title":"A Mamba-Based Model for Automatic Chord Recognition","abstract":"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","short_abstract":"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 predi...","url_abs":"https://arxiv.org/abs/2601.02101","url_pdf":"https://arxiv.org/pdf/2601.02101v1","authors":"[\"Chunyu Yuan\",\"Johanna Devaney\"]","published":"2026-01-05T13:27:42Z","proceeding":"cs.SD","tasks":"[\"cs.SD\"]","methods":"[]","has_code":false}