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---
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license: apache-2.0
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language:
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- en
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- zh
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- ja
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tags:
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- audio
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- synthetic-speech-detection
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---
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This repository introduces: 🌀 *ShiftySpeech*: A Large-Scale Synthetic Speech Dataset with Distribution Shifts |
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## 🔥 Key Features |
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- 3000+ hours of synthetic speech |
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- **Diverse Distribution Shifts**: The dataset spans **7 key distribution shifts**, including: |
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- 📖 **Reading Style** |
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- 🎙️ **Podcast** |
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- 🎥 **YouTube** |
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- 🗣️ **Languages (Three different languages)** |
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- 🌎 **Demographics (including variations in age, accent, and gender)** |
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- **Multiple Speech Generation Systems**: Includes data synthesized from various **TTS models** and **vocoders**. |
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## 💡 Why We Built This Dataset |
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> Driven by advances in self-supervised learning for speech, state-of-the-art synthetic speech detectors have achieved low error rates on popular benchmarks such as ASVspoof. However, prior benchmarks do not address the wide range of real-world variability in speech. Are reported error rates realistic in real-world conditions? To assess detector failure modes and robustness under controlled distribution shifts, we introduce **ShiftySpeech**, a benchmark with more than 3000 hours of synthetic speech from 7 domains, 6 TTS systems, 12 vocoders, and 3 languages. |
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## ⚙️ Usage |
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Ensure that you have soundfile or librosa installed for proper audio decoding: |
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```bash |
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pip install soundfile librosa |
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``` |
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##### 📌 Example: Loading the AISHELL Dataset Vocoded with APNet2 |
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```bash |
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from datasets import load_dataset |
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dataset = load_dataset("ash56/ShiftySpeech", data_files={"data": f"Vocoders/apnet2/apnet2_aishell_flac.tar.gz"})["data"] |
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``` |
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**⚠️ Note:** It is recommended to load data from a specific folder to avoid unnecessary memory usage. |
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The source datasets covered by different TTS and Vocoder systems are listed in [tts.yaml](https://huggingface.co/datasets/ash56/ShiftySpeech/blob/main/tts.yaml) and [vocoders.yaml](https://huggingface.co/datasets/ash56/ShiftySpeech/blob/main/vocoders.yaml) |
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## 📄 More Information |
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For detailed information on dataset sources and analysis, see our paper: *[Less is More for Synthetic Speech Detection in the Wild](https://arxiv.org/abs/2502.05674)* |
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You can also find the full implementation on [GitHub](https://github.com/Ashigarg123/ShiftySpeech/tree/main) |
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### **Citation** |
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If you find this dataset useful, please cite our work: |
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```bibtex |
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@misc{garg2025syntheticspeechdetectionwild, |
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title={Less is More for Synthetic Speech Detection in the Wild}, |
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author={Ashi Garg and Zexin Cai and Henry Li Xinyuan and Leibny Paola García-Perera and Kevin Duh and Sanjeev Khudanpur and Matthew Wiesner and Nicholas Andrews}, |
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year={2025}, |
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eprint={2502.05674}, |
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archivePrefix={arXiv}, |
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primaryClass={eess.AS}, |
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url={https://arxiv.org/abs/2502.05674}, |
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} |
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``` |
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### ✉️ **Contact** |
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If you have any questions or comments about the resource, please feel free to reach out to us at: [[email protected]](mailto:[email protected]) or [[email protected]](mailto:[email protected]) |
