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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2026
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.02101 |
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| _version_ | 1866908748291768320 |
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| author | Yuan, Chunyu Devaney, Johanna |
| author_facet | Yuan, Chunyu Devaney, Johanna |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_02101 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | A Mamba-Based Model for Automatic Chord Recognition Yuan, Chunyu Devaney, Johanna Sound 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 |
| title | A Mamba-Based Model for Automatic Chord Recognition |
| topic | Sound |
| url | https://arxiv.org/abs/2601.02101 |