Elektrik Elektronik Mühendisliği Bölümü Yayın Koleksiyonu by Institution Author "Büker, Aykut"
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Angular Margin Softmax Loss and Its Variants for Double Compressed AMR Audio Detection
Büker, Aykut; Hanilçi, Cemal (Association for Computing Machinery, Inc, 2021)Double compressed (DC) adaptive multi-rate (AMR) audio detection is an important but challenging audio forensic task which has received great attention over the last decade. Although the majority of the existing studies ... -
Deep convolutional neural networks for double compressed AMR audio detection
Büker, Aykut; Hanilçi, Cemal (John Wiley and Sons Inc, 2021)Detection of double compressed (DC) adaptive multi-rate (AMR) audio recordings is a challenging audio forensic problem and has received great attention in recent years. Here, the authors propose to use convolutional neural ... -
Double Compressed AMR Audio Detection Using Long-Term Features and Deep Neural Networks
Büker, Aykut; Hanilçi, Cemal (Ieee, 2019)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, ... -
Double Compressed AMR Audio Detection Using Spectral Features With Temporal Segmentation
Büker, Aykut; Hanilçi, Cemal (Institute of Electrical and Electronics Engineers Inc., 2021)Double compressed (DC) AMR audio detection is an important audio forensic problem which is used to authenticate the originality of an auido recording. Majority of the existing studies use audio features extracted from the ...