Science Score: 44.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (8.7%) to scientific vocabulary

Scientific Fields

Engineering Computer Science - 40% confidence
Last synced: 6 months ago · JSON representation ·

Repository

Basic Info
  • Host: GitHub
  • Owner: lohithgsk
  • Default Branch: main
  • Homepage:
  • Size: 9.77 KB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created 10 months ago · Last pushed 10 months ago
Metadata Files
Readme Citation

README.md

Voice-Spoofing-Detection-Audio

This repository contains a curated collection of self-generated audio samples used to evaluate the performance of voice spoofing detection systems. The dataset includes examples of real human speech, recorded/replayed audio, and AI-generated voice samples, all organized to support research in audio authenticity, spoofing attack detection, and audio classification tasks. These files were created as part of a project investigating replay and synthesis-based spoofing attacks in voice-controlled systems.

Link to Dataset

https://drive.google.com/drive/folders/1GLiRNYYTtLaEdyUbiTlFjXLCBptURFjS?usp=sharing

📂 Directory Structure

``` Audio-Spoofing-Samples/ │ ├── realspeech/ # Genuine voice samples recorded live ├── nonspeech/ # Examples of real and artificial non-speech audio (e.g. baby cry, alarms) └── README.md # Project description and usage

```

Purpose

This dataset was created to:

  • Serve as a reference for evaluating sound classification engines.
  • Provide ground-truth audio files for distinguishing between bonafide, replayed, and synthetic speech.
  • Assist in benchmarking models against real-world spoofing scenarios.
  • Be cited in academic papers and shared for reproducibility and transparency.

Download & Usage

You can either clone the repo or download it as a ZIP: bash git clone https://github.com/yourusername/Voice-Spoofing-Detection-Audio.git

Citation

If you use this dataset in your work, please cite it.

Owner

  • Name: Lohith Senthilkumar
  • Login: lohithgsk
  • Kind: user
  • Location: Coimbatore

Citation (CITATION.cff)

cff-version: 1.2.0
title: Voice-Spoofing-Detection-Audio
message: >-
  If you use this dataset, please cite it using the metadata
  from this file.
type: dataset
authors:
  - given-names: Lohith
    family-names: Senthilkumar
repository-code: >-
  https://github.com/lohithgsk/Voice-Spoofing-Detection-Audio.git
date-released: '2025-05-07'

GitHub Events

Total
  • Push event: 4
  • Create event: 2
Last Year
  • Push event: 4
  • Create event: 2

Committers

Last synced: 9 months ago

All Time
  • Total Commits: 7
  • Total Committers: 1
  • Avg Commits per committer: 7.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 7
  • Committers: 1
  • Avg Commits per committer: 7.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Lohith Senthilkumar 6****k 7

Issues and Pull Requests

Last synced: 9 months ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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