Irene Martín Morató
Irene Martín Morató
Tampere University
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Cited by
Cited by
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
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
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
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
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
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
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
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
Diversity and bias in audio captioning datasets
I Martin Morato, A Mesaros
DCASE, 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
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
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
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
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
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
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
A summarization approach to evaluating audio captioning
I Martin Morato, M Harju, A Mesaros
DCASE, 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
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
Signal processing techniques for robust sound event recognition
I Martín Morató
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