| Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systems I Martín-Morató, T Heittola, A Mesaros, T Virtanen arXiv preprint arXiv:2105.13734, 2021 | 43 | 2021 |
| Sound Event Envelope Estimation in Polyphonic Mixtures I Martín-Morató, A Mesaros, T Heittola, T Virtanen, M Cobos, FJ Ferri ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 16 | 2019 |
| A case study on feature sensitivity for audio event classification using support vector machines I Martín-Morató, M Cobos, FJ Ferri 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 13 | 2016 |
| On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification J Naranjo-Alcazar, S Perez-Castanos, I Martin-Morato, P Zuccarello, ... arXiv preprint arXiv:1906.10891, 2019 | 12 | 2019 |
| Analysis of data fusion techniques for multi-microphone audio event detection in adverse environments I Martín-Morató, M Cobos, FJ Ferri 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP …, 2017 | 11 | 2017 |
| What is the ground truth? reliability of multi-annotator data for audio tagging I Martín-Morató, A Mesaros 2021 29th European Signal Processing Conference (EUSIPCO), 76-80, 2021 | 10 | 2021 |
| Adaptive mid-term representations for robust audio event classification I Martin-Morato, M Cobos, FJ Ferri IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (12 …, 2018 | 10 | 2018 |
| Low-complexity acoustic scene classification in DCASE 2022 Challenge I Martín-Morató, F Paissan, A Ancilotto, T Heittola, A Mesaros, E Farella, ... arXiv preprint arXiv:2206.03835, 2022 | 9 | 2022 |
| Diversity and bias in audio captioning datasets I Martin Morato, A Mesaros DCASE, 2021 | 9 | 2021 |
| On the Robustness of Deep Features for Audio Event Classification in Adverse Environments I Martin-Morato, M Cobos, FJ Ferri 2018 14th IEEE International Conference on Signal Processing (ICSP), 562-566, 2018 | 7 | 2018 |
| Physics-aware machine learning for geosciences and remote sensing G Camps-Valls, DH Svendsen, J Cortés-Andrés, Á Mareno-Martínez, ... 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2086 …, 2021 | 6 | 2021 |
| Crowdsourcing strong labels for sound event detection I Martín-Morató, M Harju, A Mesaros 2021 IEEE Workshop on Applications of Signal Processing to Audio and …, 2021 | 5 | 2021 |
| A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification J Naranjo-Alcazar, S Perez-Castanos, I Martín-Morató, P Zuccarello, ... IEEE Access 8, 188875-188882, 2020 | 5 | 2020 |
| Adaptive Distance-Based Pooling in Convolutional Neural Networks for Audio Event Classification I Martín-Morató, M Cobos, FJ Ferri IEEE/ACM Transactions on Audio, Speech, and Language Processing 28, 1925-1935, 2020 | 5 | 2020 |
| Living in the Physics and Machine Learning Interplay for Earth Observation G Camps-Valls, DH Svendsen, J Cortés-Andrés, Á Moreno-Martínez, ... arXiv preprint arXiv:2010.09031, 2020 | 4 | 2020 |
| Strong labeling of sound events using crowdsourced weak labels and annotator competence estimation I Martín-Morató, A Mesaros IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023 | 1 | 2023 |
| A summarization approach to evaluating audio captioning I Martin Morato, M Harju, A Mesaros DCASE, 2022 | 1 | 2022 |
| Performance analysis of audio event classification using deep features under adverse acoustic conditions I Martin-Morato, M Cobos, F Ferri, J Naranjo-Alcázar Universitätsbibliothek der RWTH Aachen, 2019 | 1 | 2019 |
| Training sound event detection with soft labels from crowdsourced annotations I Martín-Morató, M Harju, P Ahokas, A Mesaros arXiv preprint arXiv:2302.14572, 2023 | | 2023 |
| Signal processing techniques for robust sound event recognition I Martín Morató | | 2019 |
Annamaria MesarosTampere UniversityVerified email at tuni.fi
