---
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.

## 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 concrete examples of how to use the dataset and its associated code, 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.