| Quasi closed phase glottal inverse filtering analysis with weighted linear prediction M Airaksinen, T Raitio, B Story, P Alku IEEE/ACM Transactions on Audio, Speech, and Language Processing 22 (3), 596-607, 2013 | 148 | 2013 |
| Automatic posture and movement tracking of infants with wearable movement sensors M Airaksinen, O Räsänen, E Ilén, T Häyrinen, A Kivi, V Marchi, A Gallen, ... Scientific reports 10 (1), 169, 2020 | 105 | 2020 |
| Speech waveform synthesis from MFCC sequences with generative adversarial networks L Juvela, B Bollepalli, X Wang, H Kameoka, M Airaksinen, J Yamagishi, ... 2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018 | 75 | 2018 |
| A comparison between straight, glottal, and sinusoidal vocoding in statistical parametric speech synthesis M Airaksinen, L Juvela, B Bollepalli, J Yamagishi, P Alku IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (9), 1658 …, 2018 | 52 | 2018 |
| GlottDNN-A full-band glottal vocoder for statistical parametric speech synthesis M Airaksinen, B Bollepalli, L Juvela, Z Wu, S King, P Alku Interspeech 2016, 2016 | 49 | 2016 |
| OPENGLOT–An open environment for the evaluation of glottal inverse filtering P Alku, T Murtola, J Malinen, J Kuortti, B Story, M Airaksinen, M Salmi, ... Speech Communication 107, 38-47, 2019 | 46 | 2019 |
| Analysis and synthesis of shouted speech T Raitio, A Suni, J Pohjalainen, M Airaksinen, M Vainio, P Alku INTERSPEECH 2013, 14th Annual Conference of the International Speech …, 2013 | 45 | 2013 |
| Speaker-independent raw waveform model for glottal excitation L Juvela, V Tsiaras, B Bollepalli, M Airaksinen, J Yamagishi, P Alku arXiv preprint arXiv:1804.09593, 2018 | 40 | 2018 |
| High-pitched excitation generation for glottal vocoding in statistical parametric speech synthesis using a deep neural network L Juvela, B Bollepalli, M Airaksinen, P Alku 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 36 | 2016 |
| An automated bedside measure for monitoring neonatal cortical activity: a supervised deep learning-based electroencephalogram classifier with external cohort validation S Montazeri, M Airaksinen, P Nevalainen, V Marchi, L Hellström-Westas, ... The Lancet Digital Health 4 (12), e884-e892, 2022 | 29 | 2022 |
| Building an open source classifier for the neonatal EEG background: a systematic feature-based approach from expert scoring to clinical visualization S Montazeri, E Pinchefsky, I Tse, V Marchi, J Kohonen, M Kauppila, ... Frontiers in human neuroscience 15, 675154, 2021 | 26 | 2021 |
| Intelligent wearable allows out-of-the-lab tracking of developing motor abilities in infants M Airaksinen, A Gallen, A Kivi, P Vijayakrishnan, T Häyrinen, E Ilén, ... Communications Medicine 2 (1), 69, 2022 | 23 | 2022 |
| Data augmentation strategies for neural network F0 estimation M Airaksinen, L Juvela, P Alku, O Räsänen ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 21 | 2019 |
| Analysis/synthesis comparison of vocoders utilized in statistical parametric speech synthesis M Airaksinen Master's thesis, Aalto University School of Electrical Engineering, 2012 | 19 | 2012 |
| Normal-to-Lombard adaptation of speech synthesis using long short-term memory recurrent neural networks B Bollepalli, L Juvela, M Airaksinen, C Valentini-Botinhao, P Alku Speech Communication 110, 64-75, 2019 | 17 | 2019 |
| Estimation of the glottal source from coded telephone speech using deep neural networks NP Narendra, M Airaksinen, B Story, P Alku Speech Communication 106, 95-104, 2019 | 17 | 2019 |
| Quasi-closed phase forward-backward linear prediction analysis of speech for accurate formant detection and estimation D Gowda, M Airaksinen, P Alku The Journal of the Acoustical Society of America 142 (3), 1542-1553, 2017 | 15 | 2017 |
| Aalto Aparat—A freely available tool for glottal inverse filtering and voice source parameterization P Alku, H Pohjalainen, M Airaksinen Subsidia: Tools and Resources for Speech Sciences 21, 23, 2017 | 15 | 2017 |
| Lombard speech synthesis using long short-term memory recurrent neural networks B Bollepalli, M Airaksinen, P Alku 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 14 | 2017 |
| Automatic estimation of the lip radiation effect in glottal inverse filtering M Airaksinen, T Bäckström, P Alku Fifteenth Annual Conference of the International Speech Communication …, 2014 | 14 | 2014 |
