AMT-APC: Automatic Piano Cover by Fine-Tuning an Automatic Music Transcription Model
Fuente:
arXiv
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866910616134877184 |
|---|---|
| author | Komiya, Kazuma Fukuhara, Yoshihisa |
| author_facet | Komiya, Kazuma Fukuhara, Yoshihisa |
| contents | There have been several studies on automatically generating piano covers, and recent advancements in deep learning have enabled the creation of more sophisticated covers. However, existing automatic piano cover models still have room for improvement in terms of expressiveness and fidelity to the original. To address these issues, we propose a learning algorithm called AMT-APC, which leverages the capabilities of automatic music transcription models. By utilizing the strengths of well-established automatic music transcription models, we aim to improve the accuracy of piano cover generation. Our experiments demonstrate that the AMT-APC model reproduces original tracks more accurately than any existing models. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_14086 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | AMT-APC: Automatic Piano Cover by Fine-Tuning an Automatic Music Transcription Model Komiya, Kazuma Fukuhara, Yoshihisa Sound Machine Learning Audio and Speech Processing There have been several studies on automatically generating piano covers, and recent advancements in deep learning have enabled the creation of more sophisticated covers. However, existing automatic piano cover models still have room for improvement in terms of expressiveness and fidelity to the original. To address these issues, we propose a learning algorithm called AMT-APC, which leverages the capabilities of automatic music transcription models. By utilizing the strengths of well-established automatic music transcription models, we aim to improve the accuracy of piano cover generation. Our experiments demonstrate that the AMT-APC model reproduces original tracks more accurately than any existing models. |
| title | AMT-APC: Automatic Piano Cover by Fine-Tuning an Automatic Music Transcription Model |
| topic | Sound Machine Learning Audio and Speech Processing |
| url | https://arxiv.org/abs/2409.14086 |