Complementary regional energy features for spoofed speech detection

Author:

Dişken GökayORCID

Funder

Türkiye Bilimsel ve Teknolojik Araştırma Kurumu

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference64 articles.

1. LARIHS assert reassessment for logical access ASVspoof 2021 challenge;Benhafid,2021

2. Replay detection using CQT-based modified group delay feature and ResNeWt network in ASVspoof 2019;Cheng,2019

3. Dataset artefacts in anti-spoofing systems: a case study on the ASVspoof 2017 benchmark;Chettri;IEEE/ACM Trans. Audio Speech Lang. Process.,2020

4. The biometric Vox system for the ASVspoof 2021 challenge;Cáceres,2021

5. Delgado H., Todisco M., Sahidullah M., Evans N., Kinnunen T., Lee K.A., et al. ASVspoof 2017 Version 2.0: Meta-Data Analysis and Baseline Enhancements. Odyssey 2018 Speak. Lang. Recognit. Work., Les Sables d\'Olonne, France: ISCA; 2018, p. 296–303. 10.21437/Odyssey.2018-42.

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1. Forensic Perspective on Voice Biometrics and AI : A Review;International Journal of Scientific Research in Science and Technology;2024-09-04

2. A blended framework for audio spoof detection with sequential models and bags of auditory bites;Scientific Reports;2024-08-30

3. Deep normalization for light SpineNet speaker anti-spoofing systems;Multimedia Tools and Applications;2024-07-23

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