Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get started in the field of audio, music, and speech generation research and development.
This PR aims to enhance the compatibility and efficiency of the librilight preprocessing scripts with the new NS2 framework to be updated by @HeCheng0625. By updating the librilight preprocessing scripts, we ensure they align with the new NS2 dataloader's expectations, facilitating smoother NS2 training processes. Besides, this PR also improves the usability of the original librilight preprocess scripts.
[x] Updated librilight preprocess scripts for better alignment with the NS2 dataloader, ensuring compatibility and efficiency.
[x] Enhanced the original librilight preprocess scripts, improving usability.
🧑🤝🧑 Who Can Review?
@HeCheng0625 @lmxue
🛠 TODO
[ ] Conduct a comprehensive test of the entire NS2 training pipeline with the updated preprocessing scripts, as coordinated with @HeCheng0625, to validate the enhancements and ensure seamless integration and functionality within the new NS2 framework to be updated.
✅ Checklist
[x] Code has been reviewed
[x] Code complies with the project's code standards and best practices
[x] Code has passed all tests
[x] Code does not affect the normal use of existing features
[x] Code has been commented properly
[ ] Documentation has been updated (if applicable)
[ ] Demo/checkpoint has been attached (if applicable)
✨ Description
This PR aims to enhance the compatibility and efficiency of the librilight preprocessing scripts with the new NS2 framework to be updated by @HeCheng0625. By updating the librilight preprocessing scripts, we ensure they align with the new NS2 dataloader's expectations, facilitating smoother NS2 training processes. Besides, this PR also improves the usability of the original librilight preprocess scripts.
🚧 Related Issues
https://github.com/open-mmlab/Amphion/issues/115
👨💻 Changes Proposed
🧑🤝🧑 Who Can Review?
@HeCheng0625 @lmxue
🛠 TODO
✅ Checklist