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Double Compressed AMR Audio Detection Using Long-Term Features and Deep Neural Networks
Detecting double compressed audio files is an important problem for audio forensics applications such as audio forgery detection and determining the authenticity of an audio file appearing as an evidence. In this paper, ...
Features and Regression Techniques for Crowd Density Estimation: A Comparison
Crowd density estimation is an important problem for the security applications and it is a regression task consisting of feature extraction and regression steps. In this paper, we compare different features and regression ...