| A practical, self-adaptive voice activity detector for speaker verification with noisy telephone and microphone data T Kinnunen, P Rajan 2013 IEEE international conference on acoustics, speech and signal …, 2013 | 123 | 2013 |
| I4U submission to NIST SRE 2012: A large-scale collaborative effort for noise-robust speaker verification R Saedi, KA Lee, T Kinnunen, T Hasan, B Fauve, PM Bousquet, E Khoury, ... Interspeech, 2013 | 88 | 2013 |
| Robustness of phase based features for speaker recognition P Rajan, SHK Parthasarathi, HA Murthy Idiap, 2009 | 47 | 2009 |
| From single to multiple enrollment i-vectors: Practical PLDA scoring variants for speaker verification P Rajan, A Afanasyev, V Hautamäki, T Kinnunen Digital Signal Processing 31, 93-101, 2014 | 42 | 2014 |
| Effect of multicondition training on i-vector PLDA configurations for speaker recognition. P Rajan, T Kinnunen, V Hautamäki Interspeech, 3694-3697, 2013 | 33 | 2013 |
| Minimax i-vector extractor for short duration speaker verification. V Hautamäki, YC Cheng, P Rajan, CH Lee INTERSPEECH 2013, 3708-3712, 2013 | 32 | 2013 |
| Using group delay functions from all-pole models for speaker recognition. P Rajan, T Kinnunen, C Hanilci, J Pohjalainen, P Alku INTERSPEECH, 2489-2493, 2013 | 31 | 2013 |
| Adrenal myelolipoma–clinical, radiological and cytological findings: a case report M Osborn, M Smith, T Senbanjo, M Crofton, S Robinson, P Rajan Cytopathology 13 (4), 242-246, 2002 | 29 | 2002 |
| Bird call identification using dynamic kernel based support vector machines and deep neural networks D Chakraborty, P Mukker, P Rajan, AD Dileep 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 21 | 2016 |
| Modified group delay feature for musical instrument recognition A Diment, P Rajan, T Heittola, T Virtanen Proc. Int. Symp. Computer Music Multidisciplinary Research, 431-438, 2013 | 17 | 2013 |
| Merging human and automatic system decisions to improve speaker recognition performance. RG Hautamäki, V Hautamäki, P Rajan, T Kinnunen Interspeech, 2519-2523, 2013 | 12 | 2013 |
| Multi-layer perceptron based speech activity detection for speaker verification S Ganapathy, P Rajan, H Hermansky 2011 IEEE Workshop on Applications of Signal Processing to Audio and …, 2011 | 12 | 2011 |
| Rényi entropy based mutual information for semi-supervised bird vocalization segmentation A Thakur, V Abrol, P Sharma, P Rajan 2017 IEEE 27th International Workshop on Machine Learning for Signal …, 2017 | 11 | 2017 |
| The UMD-JHU 2011 speaker recognition system D Garcia-Romero, X Zhou, D Zotkin, B Srinivasan, Y Luo, S Ganapathy, ... 2012 IEEE International Conference on Acoustics, Speech and Signal …, 2012 | 11 | 2012 |
| Archetypal analysis based sparse convex sequence kernel for bird activity detection V Abrol, P Sharma, A Thakur, P Rajan, AD Dileep, AK Sao 2017 25th European Signal Processing Conference (EUSIPCO), 1774-1778, 2017 | 10 | 2017 |
| Acoustic scene classification using deep learning R Patiyal, P Rajan IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and …, 2016 | 10 | 2016 |
| Compressed convex spectral embedding for bird species classification A Thakur, V Abrol, P Sharma, P Rajan 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 9 | 2018 |
| A layer-wise score level ensemble framework for acoustic scene classification A Singh, A Thakur, P Rajan, A Bhavsar 2018 26th European Signal Processing Conference (EUSIPCO), 837-841, 2018 | 7 | 2018 |
| Model-based unsupervised segmentation of birdcalls from field recordings A Thakur, P Rajan 2016 10th International Conference on Signal Processing and Communication …, 2016 | 7 | 2016 |
| Deep metric learning for bioacoustic classification: Overcoming training data scarcity using dynamic triplet loss A Thakur, D Thapar, P Rajan, A Nigam The Journal of the Acoustical Society of America 146 (1), 534-547, 2019 | 6 | 2019 |
Tomi KinnunenAssociate Professor, University of Eastern FinlandDirección de correo verificada de cs.joensuu.fi
