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---
license: apache-2.0
language:
- en
- zh
- ja
tags:
- audio
- synthetic-speech-detection
configs:
- config_name: tts
data_files:
- split: test
path: "TTS/*.tar.gz"
- config_name: real
data_files:
- split: test
path: "real_data_flac/*.tar.gz"
- config_name: vocoders
data_files:
- split: test
path: "Vocoders/**/*.tar.gz"
---
This repository introduces: 🌀 *ShiftySpeech*: A Large-Scale Synthetic Speech Dataset with Distribution Shifts
## 🔥 Key Features
- 3000+ hours of synthetic speech
- **Diverse Distribution Shifts**: The dataset spans **7 key distribution shifts**, including:
- 📖 **Reading Style**
- 🎙️ **Podcast**
- 🎥 **YouTube**
- 🗣️ **Languages (Three different languages)**
- 🌎 **Demographics (including variations in age, accent, and gender)**
- **Multiple Speech Generation Systems**: Includes data synthesized from various **TTS models** and **vocoders**.
## 💡 Why We Built This Dataset
> 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.
## ⚙️ Usage
Ensure that you have soundfile or librosa installed for proper audio decoding:
```bash
pip install soundfile librosa
```
##### 📌 Example: Loading the AISHELL Dataset Vocoded with APNet2
```bash
from datasets import load_dataset
dataset = load_dataset("ash56/ShiftySpeech", data_files={"data": f"Vocoders/apnet2/apnet2_aishell_flac.tar.gz"})["data"]
```
**⚠️ Note:** It is recommended to load data from a specific folder to avoid unnecessary memory usage.
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)
## 📄 More Information
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)*
You can also find the full implementation on [GitHub](https://github.com/Ashigarg123/ShiftySpeech/tree/main)
### **Citation**
If you find this dataset useful, please cite our work:
```bibtex
@misc{garg2025syntheticspeechdetectionwild,
title={Less is More for Synthetic Speech Detection in the Wild},
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},
year={2025},
eprint={2502.05674},
archivePrefix={arXiv},
primaryClass={eess.AS},
url={https://arxiv.org/abs/2502.05674},
}
```
### ✉️ **Contact**
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]) |