bekirbakar/replay-attack-detection

Deep learning-based audio spoofing attack detection experiments for speaker verification.

Replay Attack Detection

This repository contains initial experimental codes related to Replay Attack Detection studies conducted in 2018 as part of a full-time Researcher position at Bursa Technical University.

The work was done under the project supported by the Scientific and Technological Research Council of Turkey (TÜBİTAK) entitled "Audio Spoofing Attack Detection Under Adverse Condition for Trustworthy Speaker Verification" with the project number 115E916.

Use with Python Version = 3.6

Related Publications

• Master's Thesis

  • Title: Using Artificial Neural Network on Anti-Spoofing for Speaker Verification
  • Publication Date: December 2018
  • Click to See on YOK Thesis Center

• SLT 2018

  • Title: An Experimental Study on Audio Replay Attack Detection Using Deep Neural Networks
  • Publication Date: December 2018
  • Click to See on IEEE

• SIU 2018

  • Title: Replay Spoofing Attack Detection Using Deep Neural Networks
  • Publication Date: May 2018
  • Click to See on IEEE

Matlab Files

• eer_bosaris.m
• eer_detplot.m
• hp_filter.m

Resources

• http://www.ee.ic.ac.uk/hp/staff/dmb/voicebox/voicebox.html
• https://datashare.is.ed.ac.uk/handle/10283/3055