| NeuroSpeech: An open-source software for Parkinson's speech analysis JR Orozco-Arroyave, JC Vásquez-Correa, JF Vargas-Bonilla, R Arora, ... Digital Signal Processing 77, 207-221, 2018 | 70 | 2018 |
| An evaluation of synthetic speech using the PESQ measure M Cernak, M Rusko Proc. European Congress on Acoustics, 2725-2728, 2005 | 53 | 2005 |
| A simple continuous pitch estimation algorithm PN Garner, M Cernak, P Motlicek IEEE Signal Processing Letters 20 (1), 102-105, 2012 | 49 | 2012 |
| Effective triphone mapping for acoustic modeling in speech recognition S Darjaa, M Cerňak, M Trnka, M Rusko, R Sabo Twelfth Annual Conference of the International Speech Communication Association, 2011 | 45 | 2011 |
| Characterisation of voice quality of Parkinson’s disease using differential phonological posterior features M Cernak, JR Orozco-Arroyave, F Rudzicz, H Christensen, ... Computer Speech & Language 46, 196-208, 2017 | 38 | 2017 |
| Slovak automatic dictation system for judicial domain M Rusko, J Juhár, M Trnka, J Staš, S Darjaa, D Hládek, R Sabo, M Pleva, ... Language and Technology Conference, 16-27, 2011 | 31 | 2011 |
| Multi-view representation learning via gcca for multimodal analysis of Parkinson's disease JC Vasquez-Correa, JR Orozco-Arroyave, R Arora, E Nöth, N Dehak, ... 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 29 | 2017 |
| End-to-End Accented Speech Recognition. T Viglino, P Motlicek, M Cernak Interspeech, 2140-2144, 2019 | 28 | 2019 |
| Composition of deep and spiking neural networks for very low bit rate speech coding M Cernak, A Lazaridis, A Asaei, PN Garner IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (12 …, 2016 | 27 | 2016 |
| Phonological vocoding using artificial neural networks M Cernak, B Potard, PN Garner 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 27 | 2015 |
| A comparison of decision tree classifiers for automatic diagnosis of speech recognition errors M Cernak Computing and Informatics 29 (3), 489, 2010 | 27 | 2010 |
| On the (UN) importance of the contextual factors in HMM-based speech synthesis and coding M Cernak, P Motlicek, PN Garner 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 22 | 2013 |
| On structured sparsity of phonological posteriors for linguistic parsing M Cernak, A Asaei, H Bourlard Speech Communication 84, 36-45, 2016 | 20 | 2016 |
| Modeling unvoiced sounds in statistical parametric speech synthesis with a continuous vocoder TG Csapó, G Németh, M Cernak, PN Garner 2016 24th European Signal Processing Conference (EUSIPCO), 1338-1342, 2016 | 20 | 2016 |
| Residual-based excitation with continuous F0 modeling in HMM-based speech synthesis TG Csapó, G Németh, M Cernak International Conference on Statistical Language and Speech Processing, 27-38, 2015 | 20 | 2015 |
| TTSBOX: A MATLAB toolbox for teaching text-to-speech synthesis T Dutoit, M Cernak Proceedings.(ICASSP'05). IEEE International Conference on Acoustics, Speech …, 2005 | 20 | 2005 |
| On compressibility of neural network phonological features for low bit rate speech coding A Asaei, M Cernak, H Bourlard Proceeding of Interspeech, 2015 | 19 | 2015 |
| Unit selection speech synthesis in noise M Cernak 2006 IEEE International Conference on Acoustics Speech and Signal Processing …, 2006 | 19 | 2006 |
| Cognitive speech coding: examining the impact of cognitive speech processing on speech compression M Cernak, A Asaei, A Hyafil IEEE Signal Processing Magazine 35 (3), 97-109, 2018 | 17 | 2018 |
| PhonVoc: A phonetic and phonological vocoding toolkit M Cernak, PN Garner Interspeech, 2016 | 16 | 2016 |
Afsaneh AsaeiHead of AIVerified email at unternehmertum.de
