Irene Martín-Morató

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 18

Top Topics

Classification Using Support Vector Machines

Event Detection

Heterogeneous Data

Convolutional Neural Networks

Top Venues

IEEE ACM Trans. Audio Speech Lang. Process.

Publications

Florian Schmid, Paul Primus, Toni Heittola, Annamaria Mesaros, Irene Martín-Morató, Khaled Koutini, Gerhard Widmer
Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge. CoRR (2024)
Samuele Cornell, Janek Ebbers, Constance Douwes, Irene Martín-Morató, Manu Harju, Annamaria Mesaros, Romain Serizel
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels. CoRR (2024)
Irene Martín-Morató, Annamaria Mesaros
Strong Labeling of Sound Events Using Crowdsourced Weak Labels and Annotator Competence Estimation. IEEE ACM Trans. Audio Speech Lang. Process. 31 (2023)
Irene Martín-Morató, Manu Harju, Paul Ahokas, Annamaria Mesaros
Training sound event detection with soft labels from crowdsourced annotations. CoRR (2023)
Irene Martín-Morató, Manu Harju, Paul Ahokas, Annamaria Mesaros
Training Sound Event Detection with Soft Labels from Crowdsourced Annotations. ICASSP (2023)
Irene Martín-Morató, Francesco Paissan, Alberto Ancilotto, Toni Heittola, Annamaria Mesaros, Elisabetta Farella, Alessio Brutti, Tuomas Virtanen
Low-Complexity Acoustic Scene Classification in DCASE 2022 Challenge. DCASE (2022)
Irene Martín-Morató, Manu Harju, Annamaria Mesaros
A Summarization Approach to Evaluating Audio Captioning. DCASE (2022)
Irene Martín-Morató, Manu Harju, Annamaria Mesaros
Crowdsourcing Strong Labels for Sound Event Detection. WASPAA (2021)
Irene Martín-Morató, Annamaria Mesaros
Diversity and Bias in Audio Captioning Datasets. DCASE (2021)
Irene Martín-Morató, Toni Heittola, Annamaria Mesaros, Tuomas Virtanen
Low-Complexity Acoustic Scene Classification for Multi-Device Audio: Analysis of DCASE 2021 Challenge Systems. DCASE (2021)
Irene Martín-Morató, Annamaria Mesaros
What is the ground truth? Reliability of multi-annotator data for audio tagging. EUSIPCO (2021)
Irene Martín-Morató, Maximo Cobos, Francesc J. Ferri
Adaptive Distance-Based Pooling in Convolutional Neural Networks for Audio Event Classification. IEEE ACM Trans. Audio Speech Lang. Process. 28 (2020)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Irene Martín-Morató, Pedro Zuccarello, Francesc J. Ferri, Maximo Cobos
A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification. IEEE Access 8 (2020)
Javier Naranjo-Alcazar, Sergi Perez-Castanos, Irene Martín-Morató, Pedro Zuccarello, Maximo Cobos
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification. CoRR (2019)
Irene Martín-Morató, Annamaria Mesaros, Toni Heittola, Tuomas Virtanen, Maximo Cobos, Francesc J. Ferri
Sound Event Envelope Estimation in Polyphonic Mixtures. ICASSP (2019)
Irene Martín-Morató, Maximo Cobos, Francesc J. Ferri
Adaptive Mid-Term Representations for Robust Audio Event Classification. IEEE ACM Trans. Audio Speech Lang. Process. 26 (12) (2018)
Irene Martín-Morató, Maximo Cobos, Francesc J. Ferri
Analysis of data fusion techniques for multi-microphone audio event detection in adverse environments. MMSP (2017)
Irene Martín-Morató, Maximo Cobos, Francesc J. Ferri
A case study on feature sensitivity for audio event classification using support vector machines. MLSP (2016)