An Intelligent System for Audio Splicing Forgery Detection Using MFCC
- 4 July 2024
- book chapter
- Published by Springer Nature
- p. 387-396
Abstract
No abstract availableKeywords
This publication has 18 references indexed in Scilit:
- Detection of Copy-Move Forgery in Audio Signal with Mel Frequency and Delta-Mel Frequency Kepstrum Coefficients2021
- Detecting Audio Splicing Forgery Algorithm Based on Local Noise Level Estimation2018
- Forgery detection based on reverberation time estimation in multiple bands2018
- Blind Detection of Copy-Move Forgery in Digital Audio ForensicsIEEE Access, 2017
- Supervised audio tampering detection using an autoregressive model2017
- Audio splicing detection and localization using environmental signatureMultimedia Tools and Applications, 2016
- Detecting and locating digital audio forgeries based on singularity analysis with wavelet packetMultimedia Tools and Applications, 2014
- Analysis of reverberation time blind estimation used in audio forensics2014
- Audio tampering detection via microphone classification2013
- Detecting splicing in digital audios using local noise level estimation2012