A case study on feature sensitivity for audio event classification using support vector machines. - Irene Martín-Morató; Maximo Cobos; Francesc J. Ferri (MLSP, 2016)

Analysis of data fusion techniques for multi-microphone audio event detection in adverse environments. - Irene Martín-Morató; Maximo Cobos; Francesc J. Ferri (MMSP, 2017)

Adaptive Mid-Term Representations for Robust Audio Event Classification. - Irene Martín-Morató; Maximo Cobos; Francesc J. Ferri (IEEE ACM Trans. Audio Speech Lang. Process., 2018)

Sound Event Envelope Estimation in Polyphonic Mixtures. - Irene Martín-Morató; Annamaria Mesaros; Toni Heittola; Tuomas Virtanen; Maximo Cobos; Francesc J. Ferri (ICASSP, 2019)

On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Irene Martín-Morató; Pedro Zuccarello; Maximo Cobos (CoRR, 2019)

A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification. - Javier Naranjo-Alcazar; Sergi Perez-Castanos; Irene Martín-Morató; Pedro Zuccarello; Francesc J. Ferri; Maximo Cobos (IEEE Access, 2020)

Adaptive Distance-Based Pooling in Convolutional Neural Networks for Audio Event Classification. - Irene Martín-Morató; Maximo Cobos; Francesc J. Ferri (IEEE ACM Trans. Audio Speech Lang. Process., 2020)

Low-Complexity Acoustic Scene Classification for Multi-Device Audio: Analysis of DCASE 2021 Challenge Systems. - Irene Martín-Morató; Toni Heittola; Annamaria Mesaros; Tuomas Virtanen (DCASE, 2021)

Diversity and Bias in Audio Captioning Datasets. - Irene Martín-Morató; Annamaria Mesaros (DCASE, 2021)

What is the ground truth? Reliability of multi-annotator data for audio tagging. - Irene Martín-Morató; Annamaria Mesaros (EUSIPCO, 2021)

Crowdsourcing Strong Labels for Sound Event Detection. - Irene Martín-Morató; Manu Harju; Annamaria Mesaros (WASPAA, 2021)

A Summarization Approach to Evaluating Audio Captioning. - Irene Martín-Morató; Manu Harju; Annamaria Mesaros (DCASE, 2022)

Low-Complexity Acoustic Scene Classification in DCASE 2022 Challenge. - Irene Martín-Morató; Francesco Paissan; Alberto Ancilotto; Toni Heittola; Annamaria Mesaros; Elisabetta Farella; Alessio Brutti; Tuomas Virtanen (DCASE, 2022)

Training Sound Event Detection with Soft Labels from Crowdsourced Annotations. - Irene Martín-Morató; Manu Harju; Paul Ahokas; Annamaria Mesaros (ICASSP, 2023)

Strong Labeling of Sound Events Using Crowdsourced Weak Labels and Annotator Competence Estimation. - Irene Martín-Morató; Annamaria Mesaros (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

Sound Event Detection with Soft Labels: A New Perspective on Evaluation. - Manu Harju; Irene Martín-Morató; Toni Heittola; Annamaria Mesaros (EUSIPCO, 2024)

UNS Exterior Spatial Sound Events Dataset for Urban Monitoring. - Sinisa Suzic; Irene Martín-Morató; Nikola Simic; Charitha Raghavaraju; Toni Heittola; Vuk Stanojev; Dragana Bajovic (EUSIPCO, 2024)

Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge. - Florian Schmid; Paul Primus; Toni Heittola; Annamaria Mesaros; Irene Martín-Morató; Khaled Koutini; Gerhard Widmer (CoRR, 2024)

DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels. - Samuele Cornell; Janek Ebbers; Constance Douwes; Irene Martín-Morató; Manu Harju; Annamaria Mesaros; Romain Serizel (CoRR, 2024)

AVCaps: An audio-visual dataset with modality-specific captions. - Parthasaarathy Sudarsanam; Irene Martín-Morató; Aapo Hakala; Tuomas Virtanen (Zenodo, 2024)

Low-Complexity Acoustic Scene Classification with Device Information in the DCASE 2025 Challenge. - Florian Schmid; Paul Primus; Toni Heittola; Annamaria Mesaros; Irene Martín-Morató; Gerhard Widmer (CoRR, 2025)

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities. - Parthasaarathy Sudarsanam; Irene Martín-Morató; Tuomas Virtanen (CoRR, 2025)