AMT-APC

AMT-APC is a method for generating piano covers automatically by fine-tuning an automatic music transcription model. It uses Sony's hFT-Transformer as its base, trained on a piano cover dataset collected from YouTube. The project provides open-source code on GitHub, along with research papers and demo videos so you can see the results and reproduce them. It is available for free and aimed at music producers, teachers, and enthusiasts who want to turn songs into piano versions quickly without recording them by hand.

- Generate piano covers from existing songs

- Fine-tune the model on your own data if you want

- Use the open-source code from GitHub

- Read the research paper and watch demo videos

- Music producers who need piano versions of tracks

- Piano teachers making practice material for students

- Enthusiasts creating covers of favorite songs

- Researchers exploring music transcription

This is a research project, so setup and training need real technical skill; you will be installing an environment, preparing a dataset, and running training scripts rather than clicking a button. Results depend on the dataset and how well the model is trained, so quality can vary from song to song. Open-source research projects can change or stop being maintained, so pin the version you use and do not expect ongoing support. Treat generated covers as a helpful starting point rather than a finished performance. Processing speed depends on file size and network conditions, so retry later if a task stalls during peak hours. Run one full task end to end first, then expand once you are comfortable with the workflow and the result quality.