| 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 | 111 | 2018 |
| 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 | 62 | 2017 |
| An evaluation of synthetic speech using the PESQ measure M Cernak, M Rusko Proc. European Congress on Acoustics, 2725-2728, 2005 | 60 | 2005 |
| End-to-End Accented Speech Recognition. T Viglino, P Motlicek, M Cernak Interspeech, 2140-2144, 2019 | 57 | 2019 |
| A simple continuous pitch estimation algorithm PN Garner, M Cernak, P Motlicek IEEE Signal Processing Letters 20 (1), 102-105, 2012 | 54 | 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 | 46 | 2011 |
| Deep speech inpainting of time-frequency masks M Kegler, P Beckmann, M Cernak arXiv preprint arXiv:1910.09058, 2019 | 37 | 2019 |
| 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 | 36 | 2017 |
| Slovak automatic dictation system for judicial domain M Rusko, J Juhár, M Trnka, J Staš, S Darjaa, D Hládek, R Sabo, M Pleva, ... Human Language Technology Challenges for Computer Science and Linguistics …, 2014 | 32 | 2014 |
| A comparison of decision tree classifiers for automatic diagnosis of speech recognition errors M Cerňak Computing and Informatics 29 (3), 489-501, 2010 | 32 | 2010 |
| SERAB: A multi-lingual benchmark for speech emotion recognition N Scheidwasser-Clow, M Kegler, P Beckmann, M Cernak ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 31 | 2022 |
| 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 | 31 | 2016 |
| Open-vocabulary keyword spotting with audio and text embeddings N Sacchi, A Nanchen, M Jaggi, M Cernak INTERSPEECH 2019-IEEE International Conference on Acoustics, Speech, and …, 2019 | 29 | 2019 |
| Phonological vocoding using artificial neural networks M Cernak, B Potard, PN Garner 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 27 | 2015 |
| 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 | 26 | 2016 |
| Speech-vgg: A deep feature extractor for speech processing P Beckmann, M Kegler, H Saltini, M Cernak arXiv preprint arXiv:1910.09909, 2019 | 24 | 2019 |
| Spiking neural networks trained with backpropagation for low power neuromorphic implementation of voice activity detection F Martinelli, G Dellaferrera, P Mainar, M Cernak ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 23 | 2020 |
| 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 |
| 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 | 21 | 2018 |
| PhonVoc: A phonetic and phonological vocoding toolkit M Cernak, PN Garner Interspeech 2016, 988-992, 2016 | 20 | 2016 |
Afsaneh AsaeiHead of AIVerified email at unternehmertum.de
