Datasets:
task_categories:
- audio-to-audio
- text-to-speech
- audio-classification
- automatic-speech-recognition
language:
- en
NaturalVoices VC 10%
A large voice conversion (VC) dataset curated from spontaneous, in-the-wild podcast speech as part of the NaturalVoices project in collaboration with 🤗MSP Lab at CMU LTI. This release provides the 10% subset uniformly sampled from 870-hour VC dataset and subsets mainly intended for training and evaluating emotion-aware voice conversion systems but not limited to VC tasks.
- 📄 Paper: NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion — https://arxiv.org/abs/2511.00256 \
- 🧺 Dataset collection (related subsets, e.g., 10% of data & emotional VC): https://huggingface.co/collections/JHU-SmileLab/naturalvoices-voice-conversion-datasets \
-
The extensive (unfiltered) NaturalVoices dataset and the code for the data collection & curation pipeline: https://github.com/Lab-MSP/NaturalVoices
Dataset Summary
NaturalVoices VC compiles real-life, expressive podcast speech and provides automatic annotations designed for VC research (e.g., emotion attributes, speaker identity, speech quality, transcripts). The broader NaturalVoices corpus contains thousands of hours of podcast speech; this repository hosts the VC_01 subset.
What’s in this repo
~90 hours of podcast speech tailored and preprocessed for VC.
A wide range of speakers, both manually & automatically annotated.
Annotations archive with per-utterance annotations including:
- Emotion categorical labels & dimensional attributes (valence/arousal/dominance),
- Speech quality indicators,
- Text, Gender, and Duration.
Subsets
| Subset | Description | Link |
|---|---|---|
| NaturalVoices_VC_870h | 870h of speech data curated for VC | 🤗JHU-SmileLab/NaturalVoices_VC_870h |
| NaturalVoices_EVC | Emotion-balanced subset for Emotional Voice Conversion (EVC) | 🤗JHU-SmileLab/NaturalVoices_EVC |
| NaturalVoices_VC_01 (10%) | A smaller subset uniformly sampled from 870h (10%) | This repo |
How to use
You can directly download the dataset using the following command:
huggingface-cli download JHU-SmileLab/NaturalVoices_VC_0.1 --repo-type=dataset --local-dir=YOUR_LOCAL_DIR
Streaming support will be available
Cite & Contribute
If you use this dataset, please cite the paper:
@misc{du2025naturalvoiceslargescalespontaneousemotional,
title={NaturalVoices: A Large-Scale, Spontaneous and Emotional Podcast Dataset for Voice Conversion},
author={Zongyang Du and Shreeram Suresh Chandra and Ismail Rasim Ulgen and Aurosweta Mahapatra and Ali N. Salman and Carlos Busso and Berrak Sisman},
year={2025},
eprint={2511.00256},
archivePrefix={arXiv},
primaryClass={eess.AS},
url={https://arxiv.org/abs/2511.00256},
}