| ASVspoof: the automatic speaker verification spoofing and countermeasures challenge Z Wu, J Yamagishi, T Kinnunen, C Hanilçi, M Sahidullah, A Sizov, ... IEEE Journal of Selected Topics in Signal Processing 11 (4), 588-604, 2017 | 796 | 2017 |
| A comparison of features for synthetic speech detection M Sahidullah, T Kinnunen, C Hanilçi ISCA (the International Speech Communication Association), 2015 | 414 | 2015 |
| A comparison of regression methods for remote tracking of Parkinson’s disease progression Ö Eskidere, F Ertaş, C Hanilçi Expert Systems with Applications 39 (5), 5523-5528, 2012 | 110 | 2012 |
| Recognition of brand and models of cell-phones from recorded speech signals C Hanilci, F Ertas, T Ertas, Ö Eskidere IEEE Transactions on Information Forensics and Security 7 (2), 625-634, 2011 | 99 | 2011 |
| I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification R Saeidi, KA Lee, T Kinnunen, T Hasan, B Fauve, PM Bousquet, E Khoury, ... Annual Conference of the International Speech Communication Association …, 2013 | 93 | 2013 |
| Spoofing detection goes noisy: An analysis of synthetic speech detection in the presence of additive noise C Hanilci, T Kinnunen, M Sahidullah, A Sizov Speech Communication 85, 83-97, 2016 | 67 | 2016 |
| Classifiers for synthetic speech detection: A comparison C Hanilçi, T Kinnunen, M Sahidullah, A Sizov ISCA (the International Speech Communication Association), 2015 | 61 | 2015 |
| Source cell-phone recognition from recorded speech using non-speech segments C Hanilçi, T Kinnunen Digital Signal Processing 35, 75-85, 2014 | 54 | 2014 |
| Using group delay functions from all-pole models for speaker recognition P Rajan, TH Kinnunen, J Pohjalainen, P Alku, F Bimbot, C Cerisara, ... Isc-Int Speech Communication Association, 2013 | 50 | 2013 |
| Regularized all-pole models for speaker verification under noisy environments C Hanilçi, T Kinnunen, F Ertas, R Saeidi, J Pohjalainen, P Alku IEEE Signal Processing Letters 19 (3), 163-166, 2012 | 35 | 2012 |
| Optimizing acoustic features for source cell-phone recognition using speech signals C Hanilçi, F Ertas Proceedings of the first ACM workshop on Information hiding and multimedia …, 2013 | 32 | 2013 |
| Speaker identification from shouted speech: Analysis and compensation C Hanilçi, T Kinnunen, R Saeidi, J Pohjalainen, P Alku, F Ertaş 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 28 | 2013 |
| Comparing spectrum estimators in speaker verification under additive noise degradation C Hanilçi, T Kinnunen, R Saeidi, J Pohjalainen, P Alku, F Ertaş, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 24 | 2012 |
| Comparison of the impact of some Minkowski metrics on VQ/GMM based speaker recognition C Hanilçi, F Ertaş Computers & Electrical Engineering 37 (1), 41-56, 2011 | 23 | 2011 |
| Features and classifiers for replay spoofing attack detection C Hanilçi 2017 10Th international conference on electrical and electronics engineering …, 2017 | 19 | 2017 |
| Linear prediction residual features for automatic speaker verification anti-spoofing C Hanilçi Multimedia Tools and Applications 77, 16099-16111, 2018 | 18 | 2018 |
| Data selection for i-vector based automatic speaker verification anti-spoofing C Hanilçi Digital Signal Processing 72, 171-180, 2018 | 18 | 2018 |
| Investigation of the effect of data duration and speaker gender on text-independent speaker recognition C Hanilçi, F Ertaş Computers & Electrical Engineering 39 (2), 441-452, 2013 | 17 | 2013 |
| Mixture linear prediction in speaker verification under vocal effort mismatch J Pohjalainen, C Hanilçi, T Kinnunen, P Alku IEEE Signal Processing Letters 21 (12), 1516-1520, 2014 | 15 | 2014 |
| An experimental study on audio replay attack detection using deep neural networks B Bakar, C Hanilçi 2018 IEEE Spoken Language Technology Workshop (SLT), 132-138, 2018 | 13 | 2018 |
