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--- |
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license: mit |
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size_categories: |
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- n<1K |
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tags: |
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- music |
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- vocal-effects |
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task_categories: |
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- audio-to-audio |
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viewer: false |
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--- |
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# Differentiable Vocal Effects Presets Dataset |
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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. |
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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. |
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## Links |
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- Paper: [DiffVox: A Differentiable Model for Capturing and Analysing Vocal Effects Distributions](https://arxiv.org/abs/2504.14735) |
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- Code: [https://github.com/SonyResearch/diffvox](https://github.com/SonyResearch/diffvox) |
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- Demo Space: [https://huggingface.co/spaces/yoyolicoris/diffvox](https://huggingface.co/spaces/yoyolicoris/diffvox) |
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## Dataset Structure |
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The preset datasets, **Internal** and **MedleyDB**, are stored in the folder [`presets`](presets/). |
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Please check the original repository for more details on the individual files. |
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The [modules/](modules/) contains differentiable effects implemented in PyTorch for loading the presets and applying them to audio data. |
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## Sample Usage |
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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: |
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First, install the required Python packages by cloning the original repository and installing its requirements: |
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```bash |
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git clone https://github.com/SonyResearch/diffvox.git |
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cd diffvox |
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pip install -r requirements.txt |
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``` |
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Then, you can run the vocal effects retrieval process on a specific track. For example, to process a track from MedleyDB: |
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```bash |
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python main.py data_dir=/data/medley1/v1/Audio/AimeeNorwich_Child --dataset=medley_vocal --log_dir=~/medley_vocal_log |
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``` |
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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. |
