ICASSP 2017accepted0 citations
Codec independent lossy audio compression detection
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Abstract
In this paper, we propose a method for detecting marks of lossy compression encoding, such as MP3 or AAC, from PCM audio. The method is based on a convolutional neural network (CNN) applied to audio spectrograms and trained with the output of various lossy audio codecs and bitrates. Our method shows good performances on a large database and robustness to codec type and resampling.
BibTeX
@inproceedings{icassp2017_codecindependent,
title = {Codec independent lossy audio compression detection},
author = {Romain Hennequin and Jimena Royo-Letelier and Manuel Moussallam},
booktitle = {ICASSP 2017},
year = {2017}
}