|
|
--- |
|
|
license: mit |
|
|
size_categories: |
|
|
- n<1K |
|
|
tags: |
|
|
- music |
|
|
- vocal-effects |
|
|
task_categories: |
|
|
- audio-to-audio |
|
|
viewer: false |
|
|
--- |
|
|
|
|
|
# Differentiable Vocal Effects Presets Dataset |
|
|
|
|
|
This dataset is associated with DiffVox, a novel and interpretable model designed for matching vocal effects in music production. DiffVox integrates parametric equalisation, dynamic range control, delay, and reverb using efficient differentiable implementations, enabling gradient-based optimisation for parameter estimation. The vocal presets contained within this dataset were retrieved from two collections: 70 tracks from MedleyDB and 365 tracks from a private collection. This work lays the foundation for future research in vocal effects modelling and automatic mixing. |
|
|
|
|
|
This dataset is a clone of a subset of the [diffvox](https://github.com/SonyResearch/diffvox/) repository, containing a collection of vocal effect presets derived from a proprietary multitrack dataset. |
|
|
It contains the minimal set of files for loading the presets. |
|
|
You can load this subset module into your Huggingface Space using the Huggingface API. |
|
|
For concrete examples, please refer to our [demo](https://huggingface.co/spaces/yoyolicoris/diffvox). |
|
|
|
|
|
## Links |
|
|
- Paper: [DiffVox: A Differentiable Model for Capturing and Analysing Vocal Effects Distributions](https://arxiv.org/abs/2504.14735) |
|
|
- Code: [https://github.com/SonyResearch/diffvox](https://github.com/SonyResearch/diffvox) |
|
|
- Demo Space: [https://huggingface.co/spaces/yoyolicoris/diffvox](https://huggingface.co/spaces/yoyolicoris/diffvox) |
|
|
|
|
|
## Dataset Structure |
|
|
|
|
|
The preset datasets, **Internal** and **MedleyDB**, are stored in the folder [`presets`](presets/). |
|
|
Please check the original repository for more details on the individual files. |
|
|
The [modules/](modules/) contains differentiable effects implemented in PyTorch for loading the presets and applying them to audio data. |
|
|
|
|
|
## Sample Usage |
|
|
|
|
|
For details on how we created the dataset, please refer to the original GitHub repository. |
|
|
Below is a quick start example demonstrating how to set up the environment and run the retrieval process on a single track: |
|
|
|
|
|
First, install the required Python packages by cloning the original repository and installing its requirements: |
|
|
```bash |
|
|
git clone https://github.com/SonyResearch/diffvox.git |
|
|
cd diffvox |
|
|
pip install -r requirements.txt |
|
|
``` |
|
|
|
|
|
Then, you can run the vocal effects retrieval process on a specific track. For example, to process a track from MedleyDB: |
|
|
```bash |
|
|
python main.py data_dir=/data/medley1/v1/Audio/AimeeNorwich_Child --dataset=medley_vocal --log_dir=~/medley_vocal_log |
|
|
``` |
|
|
This command will run the retrieval process on valid vocal tracks within the specified directory and save the training logs and best checkpoints to `~/medley_vocal_log`. Refer to the original repository's `main.py` and `cfg/config.yaml` for configuration details. |
