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UncovAI
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UncovAI_TTS

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Text-to-Speech

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metadata

license: cc-by-4.0
task_categories:
  - text-to-speech
language:
  - en
size_categories:
  - 10K<n<100K

UncovAI TTS Dataset

UncovAI TTS consists of 12,000 synthetic audio files generated from the DailyDialog dataset. It is designed for AI audio detection, forensics, and TTS research.

📂 Dataset Structure

The dataset is organized into three folders, with 4,000 audio files per model:

Dia2-2B/: Generated using nari-labs/Dia2-2B
Maya1/: Generated using maya-research/maya1
MeloTTS-English/: Generated using myshell-ai/MeloTTS-English

🎯 Use Cases

AI Audio Detection: Training classifiers to detect synthetic voices.
Knowledge Distillation: Using high-quality synthetic data to train smaller student models.
TTS Evaluation: Benchmarking different architectures on conversational text.

📜 Citation

If you use this dataset, please cite this repository, the DailyDialog dataset and the original model creators:

📄 Paper

Title: Audio Deepfake Detection in the Age of Advanced Text-to-Speech models
Authors: Robin Singh, Aditya Yogesh Nair, Fabio Palumbo, Florian Barbaro, Anna Dyka, Lohith Rachakonda
Paper: https://arxiv.org/abs/2601.20510

BibTeX

@dataset{uncovai2026uncovaitts,
  author       = {UncovAI},
  title        = {{UncovAI\_TTS}: Synthetic and real multilingual text-to-speech dataset},
  publisher    = {Hugging Face Datasets},
  year         = {2026},
  doi          = {10.57967/hf/7548},
  url          = {https://huggingface.co/datasets/UncovAI/UncovAI_TTS}
}

This project was provided with computing AI and storage resources by GENCI at IDRIS thanks to the grant 2025-AD011016076 on the supercomputer Jean Zay's V100 partition .