Publications

  • Peer-reviewed journal publications

    • I. Martín-Morató, A. Mesaros, “Strong labeling of sound events using crowdsourced weak labels and annotator competence estimation,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2023. doi: 10.1109/TASLP.2022.3233468

    • I. Martín-Morató, M. Cobos and F. J. Ferri, “Adaptive Distance-Based Pooling in Convolutional Neural Networks for Audio Event Classification,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 28 , pp. 1925-1935, 2020. doi: 10.1109/TASLP.2020.3001683

    • J. Naranjo-Alcázar, S. Pérez, I. Martín-Morató, P. Zuccarello, F. J. Ferri and M. Cobos, “A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification”, IEEE Access, vol. 8, pp. 188875-188882, 2020. doi: 10.1109/ACCESS.2020.3031685

    • I. Martín-Morató, M. Cobos and F. J. Ferri, “Adaptive Mid-Term Representations for Robust Audio Event Classification,” in IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 26, no. 12, pp. 2381-2392, Dec. 2018. doi: 10.1109/TASLP.2018.2865615

  • Peer-reviewed conference publications

    • I. Martín-Morató, P. Ahokas, A. Mesaros “Aggregate or separate: learning from multi-annotator noisy labels for best classification performance” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2023 Workshop (DCASE2023). Tampere, Finland. September 2023.

    • J. Afolaranmi, I. Martín-Morató, A. Mesaros “Sound event classification with object-based labels” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2022 Workshop (DCASE2023). Tampere, Finland. September 2023.

    • I. Martín-Morató, M. Harju, P. Ahokas, A. Mesaros “Training sound event detection with soft labels from crowdsourced annotations” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Rhodes Island, Greece. June 2023.

    • I. Martín-Morató, M. Harju, A. Mesaros “A summarization approach to evaluating audio captioning” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2022 Workshop (DCASE2022). Nancy, France. November 2022.

    • I. Martín-Morató, F. Paissan, A. Ancilotto, T. Heittola, A. Mesaros, E. Farella, A. Brutti, T. Virtanen “Low-complexity acoustic scene classification in DCASE 2022 Challenge” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2022 Workshop (DCASE2022). Nancy, France. November 2022.

    • I. Martín-Morató, A. Mesaros “Diversity and bias in audio captioning datasets” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021). November 2021.

    • I. Martín-Morató, T. Heittola, A. Mesaros, T. Virtanen “Low-complexity acoustic scene classification for multi-device audio: analysis of DCASE 2021 Challenge systems” Proceedings of the Detection and Classification of Acoustic Scenes and Events 2021 Workshop (DCASE2021). November 2021.

    • I. Martín-Morató, M. Harju, A. Mesaros, “Crowdsourcing Strong Labels for Sound Event Detection,” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). October 2021.

    • I. Martín-Morató, A. Mesaros, “What is the ground truth? Reliability of multi-annotator data for audio tagging”, 29th European Signal Processing Conference (EUSIPCO), Dublin, Ireland, August 2021.

    • G. Camps-Valls, D. H. Svendsen, J. Cortés-Andrés, Á. Moreno-Martínez, A. Pérez-Suay, J. Adsuara, I. Martín, M. Piles, J. Muñoz-Marí, L. Martino, “Living in the Physics – Machine Learning Interplay for Earth Observation,” PGAI AAAI Symposium, 2020.

    • I. Martín-Morató, M. Cobos and F. J. Ferri, “Performance analysis of audio event classification using deep features under adverse acoustic conditions,” International Congress on Acoustics (ICA), Aachen, Germany, Sep. 2019. doi: 10.18154/RWTH-CONV-239395

    • I. Martín-Morató, A. Mesaros, T. Heittola, T. Virtanen, M. Cobos and F. J. Ferri, “Sound event envelope estimation in polyphonic mixtures”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Brighton, United Kingdom, 2019, pp. 935-939. doi: 10.1109/ICASSP.2019.8682858

    • I. Martín-Morató, M. Cobos and F. J. Ferri, “On the Robustness of Deep Features for Audio Event Classification in Adverse Environments,” 2018 14th IEEE International Conference on Signal Processing (ICSP), Beijing, China, 2018, pp. 562-566. doi: 10.1109/ICSP.2018.8652438

    • I. Martín-Morató, M. Cobos and F. J. Ferri,”Analysis of data fusion techniques for multi-microphone audio event detection in adverse environments,” 2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), Luton, pp. 1-6. doi: 10.1109/MMSP.2017.8122274

    • I. Martín-Morató, M. Cobos and F. J. Ferri, “Estudio de sensibilidad de las características para la detección de eventos acústicos utilizando máquinas de vectores soporte”, 2017 TECNIACUSTICA, 48º Congreso español de acústica, A Coruña, España.

    • I. Martín-Morató, M. Cobos and F. J. Ferri, “A case study on feature sensitivity for audio event classification using support vector machines,” 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), Vietri sul Mare, 2016, pp. 1-6. doi: 10.1109/MLSP.2016.7738834 [link]

    • M. Cobos, G. Moreno, J. Lopez-Ballester, P. Gutierrez-Parera, I. Martín-Morató, J. Segura and A.M. Torres, “Desarrollo de una herramienta Matlab para la reproducción de audio espacial en tiempo real”, 2015 TECNIACUSTICA, 45º Congreso español de acústica, Valencia, España.