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TheAnalyzer/Full-LibriSpeech-CopyMove-Forgery-Dataset

Full LibriSpeech Copy–Move Forgery Dataset 📘 Overview The Full LibriSpeech Copy–Move Forgery Dataset is designed for advancing research in audio forgery detection and tampering localization. It focuses on the challenging task of copy–move forgeries, where segments from a single audio recording are duplicated and relocated within the same file. The dataset provides speaker-disjoint splits, detailed temporal annotations, and multiple levels of forgery intensity to… See the full description on the dataset page: https://huggingface.co/datasets/TheAnalyzer/Full-LibriSpeech-CopyMove-Forgery-Dataset.

sourceHugging Faceupdated 1y agoView on Hugging Face

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Dataset Card

Full LibriSpeech Copy–Move Forgery Dataset

📘 Overview

The Full LibriSpeech Copy–Move Forgery Dataset is designed for advancing research in audio forgery detection and tampering localization. It focuses on the challenging task of copy–move forgeries, where segments from a single audio recording are duplicated and relocated within the same file.

The dataset provides speaker-disjoint splits, detailed temporal annotations, and multiple levels of forgery intensity to ensure reproducible and fair evaluation of modern deep learning models.

🧩 Dataset Details

Property	Description
Source	Derived from the clean subset of LibriSpeech
Total Samples	57,078
Forgery Levels	3 (weak, medium, strong)
Splits	Train / Validation / Test (speaker-disjoint)
Annotations	Start–end timestamps for forged regions
Features	Mel-spectrograms
Size	~25 GB

⚙️ Usage

You can directly load this dataset using the datasets library:

python

from datasets import load_dataset

dataset = load_dataset("TheAnalyzer/Full-LibriSpeech-CopyMove-Forgery-Dataset")
print(dataset)

Or clone the dataset using Git LFS:

bash

git lfs install
git clone https://huggingface.co/datasets/TheAnalyzer/Full-LibriSpeech-CopyMove-Forgery-Dataset

🧠 Baseline Implementation

The baseline CNN-based model, preprocessing pipeline, and evaluation scripts can be found in the companion GitHub repository:

👉 https://github.com/RDisCoding/Full-LibriSpeech-CopyMove-Forgery-Dataset

📬 Contact

For questions or collaborations, please contact: [rdiscoding@gmail.com](mailto:rdiscoding@gmail.com)