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Improve dataset card: Add task category, abstract summary, links, and sample usage (#1)

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- Improve dataset card: Add task category, abstract summary, links, and sample usage (115f3815df7703425b7e9403359bb2a727776445)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

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  1. README.md +32 -4
README.md CHANGED
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  ---
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  license: mit
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- tags:
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- - music
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  size_categories:
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  - n<1K
 
 
 
 
 
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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 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, as described in the paper [DiffVox: A Differentiable Model for Capturing and Analysing Professional Effects Distributions](https://arxiv.org/abs/2504.14735).
 
 
 
 
 
 
 
 
 
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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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- For concrete examples of how to use the dataset, please refer to our [demo](https://huggingface.co/spaces/yoyolicoris/diffvox).
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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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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+
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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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+
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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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+
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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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+
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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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+
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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.