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Vietnamese Deepfake Voice Dataset
Dataset Description
The Vietnamese Deepfake Voice Dataset is a multimodal dataset designed for research on deepfake voice detection and scam call detection in Vietnamese. The dataset contains both authentic human speech and AI-generated speech collected from multiple speech synthesis and voice cloning systems.
The dataset is intended for developing and evaluating machine learning and deep learning models for:
- Audio deepfake detection
- Audio anti-spoofing
- Scam call detection
- Multimodal speech analysis
- Vietnamese speech processing
Supported Tasks
Audio Classification
- Human speech vs. AI-generated speech
- Audio anti-spoofing
Text Classification
- Scam vs. Non-scam content
- Analysis of transcribed speech content
Languages
- Vietnamese (
vi)
Labels
Audio Classification
| Label | Description |
|---|---|
| 0 | Human Speech |
| 1 | AI-generated Speech |
Text Classification
| Label | Description |
|---|---|
| 0 | Non-scam |
| 1 | Scam |
Dataset Statistics
- Language: Vietnamese
- Modality: Audio and Text
- Task Type: Classification
- Number of classes: 2
- Audio format: WAV
Intended Uses
This dataset can be used for:
- Training audio anti-spoofing models.
- Developing multimodal deepfake detection systems.
- Research on Vietnamese speech processing.
- Benchmarking deepfake voice detection methods.
The dataset may be used for research and non-commercial purposes only.
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