Browsing by Author "Hanilçi, Cemal"
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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 ... -
ASVspoof: The Automatic Speaker Verification Spoofing and Countermeasures Challenge
Wu, Zhizheng; Yamagishi, Junichi; Kinnunen, Tomi; Hanilçi, Cemal; Sahidullah, Mohammed; Sizov, Aleksandr (Ieee-Inst Electrical Electronics Engineers Inc, 2017)Concerns regarding the vulnerability of automatic speaker verification (ASV) technology against spoofing can undermine confidence in its reliability and form a barrier to exploitation. The absence of competitive evaluations ... -
Classifiers for Synthetic Speech Detection: A Comparison
Hanilçi, Cemal; Kinnunen, Tomi; Sahidullah, Md; Sizov, Aleksandr (Isca-Int Speech Communication Assoc, 2015)Automatic speaker verification (ASV) systems are highly vulnerable against spoofing attacks, also known as imposture. With recent developments in speech synthesis and voice conversion technology, it has become important ... -
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 ... -
EFFECT OF LANGUAGE MISMATCH ON TURKISH SPEAKER VERIFICATION
Hanilçi, Cemal (2017)Bu çalışmada, arkaplan verisi ile gerçekleştirme verisi arasında konuşulan dil anlamında bir uyumsuzluk olması durumunda Türkçe konuşmalar için konuşmacı tanıma performansı incelenmiştir. Gauss karışım modeli - genel ... -
AN EXPERIMENTAL STUDY ON AUDIO REPLAY ATTACK DETECTION USING DEEP NEURAL NETWORKS
Bakar, Bekir; Hanilçi, Cemal (Ieee, 2018)Automatic speaker verification (ASV) systems can be easily spoofed by previously recorded speech, synthesized speech and speech signal that artificially generated by voice conversion techniques. In order to increase the ... -
Features and Classifiers for Replay Spoofing Attack Detection
Hanilçi, Cemal (Ieee, 2017)Automatic speaker verification (ASV) systems are known to be highly vulnerable against spoofing attacks. Various successful countermeasures have recently been proposed to detect spoofing attacks originating from speech ... -
Features and Regression Techniques for Crowd Density Estimation: A Comparison
Kurnaz, Oğuzhan; Hanilçi, Cemal (Ieee, 2019)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 ... -
Gauss Karışım Modeli ve Genlik Spektrumu Öznitelikleri ile Sesteki Gizli Bilginin Sezimlenmesi
Hanilçi, Cemal (2017)Son yıllarda, dijital verilerin kullanımının önemli ölçüde artması ile dijital ortam verilerinin gizli haberleşme için kullanılması oldukça yaygınlaşmıştır. Bununla birlikte, dijital verilerdeki gizli mesajın tespiti ... -
Linear prediction residual features for automatic speaker verification anti-spoofing
Hanilçi, Cemal (Springer, 2018)Automatic speaker verification (ASV) systems are highly vulnerable against spoofing attacks. Anti-spoofing, determining whether a speech signal is natural/genuine or spoofed, is very important for improving the reliability ... -
Mixture Linear Prediction in Speaker Verification Under Vocal Effort Mismatch
Pohjalainen, Jouni; Hanilçi, Cemal; Kinnunen, Tomi; Alku, Paavo (Ieee-Inst Electrical Electronics Engineers Inc, 2014)This paper describes an approach to robust signal analysis using iterative parameter re-estimation of a mixture autoregressive (AR) model. The model's focus can be adjusted by initialization of the target and non-target ... -
Motor Imagery Signal Classification Using Constant-Q Transform for BCI Applications
Balim, Mustafa Alper; Hanilçi, Cemal; Acir, Nurettin (European Signal Processing Conference, EUSIPCO, 2021)Electroencephalography (EEG) signals have been using for brain-computer interface applications for the last two decades. Motor imagery (MI) signals are one of the EEG signal types formed by imagining a limb's movement. ... -
Multi-Image Crowd Density Estimation using Multi Column Deep Neural Network
Kurnaz, Oğuzhan; Hanilçi, Cemal (Institute of Electrical and Electronics Engineers Inc., 2020)Crowd density estimation is a challenging problem for security applications which is a regression task consisting of feature extraction and regression steps. In this paper, multicolumn deep neural networks (MDNN) is proposed ... -
Replay Spoofing Attack Detection Using Deep Neural Networks
Bakar, Bekir; Hanilçi, Cemal (Ieee, 2018)In recent years, there has been increased interest in speaker verification(SV) systems and their usage has become widespread. This situation made the detecting of spoofing attacks, the discrimination of genuine speech from ... -
Ses steganografi yöntemlerinin karşılaştırmalı analizi
Aslantaş Beyin, Funda (Bursa Teknik Üniversitesi, Lisansüstü Eğitim Enstitüsü, 2021)Bilgi güvenliği, hem bireyler hem de şirketler için tüm zamanların en önemli konularından biri olmuştur. Verilerin doğru alıcıya iletilmesi, kişisel verilerin korunması, kişisel yaşamın gizliliği ve ulusal güvenlik için ... -
Source cell-phone recognition from recorded speech using non-speech segments
Hanilçi, Cemal; Kinnunen, Tomi (Academic Press Inc Elsevier Science, 2014)In a recent study, we have introduced the problem of identifying cell-phones using recorded speech and shown that speech signals convey information about the source device, making it possible to identify the source with ... -
Speaker Recognition Anti-spoofing Using Linear Prediction Residual
Hanilçi, Cemal (Ieee, 2017)Speaker recognition systems have recently proven to be highly vulnerable against spoofing attacks. Therefore, it is important to detect spoofing attacks performed by speech synthesis and voice conversion in order to improve ... -
Speaker Verification Anti-Spoofing Using Linear Prediction Residual Phase Features
Hanilçi, Cemal (Ieee, 2017)The vulnerability of automatic speaker verification (ASV) systems against spoofing attacks is an important security concern about the reliability of ASV technology. Recently, various countermeasures have been developed for ...
