deepfake-detection
deepfake-audio-detection
Deepfake Audio Detection Dataset (v4)
Dataset Description
This dataset contains 1,866 audio samples (933 real, 933 synthetic) for training deepfake audio detection models. It is specifically designed for binary classification tasks to distinguish between authentic human speech and AI-generated synthetic audio.
What's New in v4
52% larger: Increased from 1,224 to 1,866 samples (642 new samples)
Expanded TTS coverage: Added Hume AI as 6th synthetic voice… See the full description on the dataset page: https://huggingface.co/datasets/garystafford/deepfake-audio-detection.deepfake-detection-challenge
Dataset Card for Dataset Name
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Dataset Details
Dataset Description
Curated by: [More Information Needed]
Funded by [optional]: [More Information Needed]
Shared by [optional]: [More Information Needed]
Language(s) (NLP): [More Information Needed]
License: [More Information Needed]
Dataset Sources [optional]
Repository: [More… See the full description on the dataset page: https://huggingface.co/datasets/191fa07121/deepfake-detection-challenge.deepfake_detection_dataset_urdu
Deepfake Defense: Constructing and Evaluating a Specialized Urdu Deepfake Audio Dataset
This repository contains the Urdu Deepfake Audio Dataset introduced in the ACL 2024 paper "Deepfake Defense: Constructing and Evaluating a Specialized Urdu Deepfake Audio Dataset".
The dataset focuses on two spoofing attacks – Tacotron and VITS TTS – and includes bonafide audio samples for comparison. The dataset construction ensures phonemic cover and balance, making it suitable for training… See the full description on the dataset page: https://huggingface.co/datasets/CSALT/deepfake_detection_dataset_urdu.deepfake-audio-detection
Deepfake Audio Detection Dataset (v4)
Dataset Description
This dataset contains 1,866 audio samples (933 real, 933 synthetic) for training deepfake audio detection models. It is specifically designed for binary classification tasks to distinguish between authentic human speech and AI-generated synthetic audio.
What's New in v4
52% larger: Increased from 1,224 to 1,866 samples (642 new samples)
Expanded TTS coverage: Added Hume AI as 6th synthetic… See the full description on the dataset page: https://huggingface.co/datasets/koyyalamudiraghavendra/deepfake-audio-detection.deep-fake-detection-dfd-entire-original-datasettdeep-fake-detection-dfd-entire-original-dataset
