| Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition E Vaaras, M Airaksinen, O Räsänen Interspeech 2022, 1143-1147, 2022 | 8 | 2022 |
| Automatic analysis of the emotional content of speech in daylong child-centered recordings from a neonatal intensive care unit E Vaaras, S Ahlqvist-Björkroth, K Drossos, O Räsänen Interspeech 2021, 3380-3384, 2021 | 4 | 2021 |
| Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment E Vaaras, S Ahlqvist-Björkroth, K Drossos, L Lehtonen, O Räsänen Speech Communication 148, 9-22, 2023 | 3 | 2023 |
| Automatic Emotional Speech Analysis from Daylong Child-Centered Recordings from a Neonatal Intensive Care Unit E Vaaras Tampere University, 2021 | 3 | 2021 |
| Automatic assessment of infant carrying and holding using at-home wearable recordings M Airaksinen, E Vaaras, L Haataja, O Räsänen, S Vanhatalo Scientific Reports 14 (1), 4852, 2024 | 1 | 2024 |
| Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors E Vaaras, M Airaksinen, S Vanhatalo, O Räsänen 2023 45th Annual International Conference of the IEEE Engineering in …, 2023 | | 2023 |
| Automatic Classification of Infant-and Adult-directed Speech from Acoustic Speech Signals E Vaaras Tampere University, 2019 | | 2019 |
| Do shorter infant distress episodes with age result from improvements in caregiver-infant co M Perapoch Amadó, G Esposito, E Greenwood, J Ives, P Labendzki, ... methods 2, 4.1, 0 | | |
Okko RäsänenAssociate Professor, Tampere University, Finland在 tuni.fi 的电子邮件经过验证
