AAC encoding detection and bitrate estimation using a convolutional neural network

Daniel Seichter; Luca Cuccovillo; Patrick Aichroth

ICASSP 2016accepted0 citations

AAC encoding detection and bitrate estimation using a convolutional neural network

Daniel Seichter, Luca Cuccovillo, Patrick Aichroth

Abstract

In this paper, we propose a new method for AAC encoding detection and bitrate estimation from PCM material. The algorithm is based on a Convolutional Neural Network that can distinguish between eight different bitrates. It achieves an average accuracy of 94.65% by analysis of only 116.10 ms of content.

BibTeX

@inproceedings{icassp2016_aacencodingdetec,
  title = {AAC encoding detection and bitrate estimation using a convolutional neural network},
  author = {Daniel Seichter and Luca Cuccovillo and Patrick Aichroth},
  booktitle = {ICASSP 2016},
  year = {2016}
}