Irene Martín-Morató

Orcid: 0000-0002-2115-0193

Affiliations:
  • Tampere University, Computing Sciences, Finland


According to our database1, Irene Martín-Morató authored at least 19 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
DCASE 2024 Task 4: Sound Event Detection with Heterogeneous Data and Missing Labels.
CoRR, 2024

Data-Efficient Low-Complexity Acoustic Scene Classification in the DCASE 2024 Challenge.
CoRR, 2024

UNS Exterior Spatial Sound Events Dataset for Urban Monitoring.
Proceedings of the 32nd European Signal Processing Conference, 2024

Sound Event Detection with Soft Labels: A New Perspective on Evaluation.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Strong Labeling of Sound Events Using Crowdsourced Weak Labels and Annotator Competence Estimation.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Training Sound Event Detection with Soft Labels from Crowdsourced Annotations.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Low-Complexity Acoustic Scene Classification in DCASE 2022 Challenge.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

A Summarization Approach to Evaluating Audio Captioning.
Proceedings of the 7th Workshop on Detection and Classification of Acoustic Scenes and Events 2022, 2022

2021
Crowdsourcing Strong Labels for Sound Event Detection.
Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2021

What is the ground truth? Reliability of multi-annotator data for audio tagging.
Proceedings of the 29th European Signal Processing Conference, 2021

Diversity and Bias in Audio Captioning Datasets.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

Low-Complexity Acoustic Scene Classification for Multi-Device Audio: Analysis of DCASE 2021 Challenge Systems.
Proceedings of the 6th Workshop on Detection and Classification of Acoustic Scenes and Events 2021 (DCASE 2021), 2021

2020
Adaptive Distance-Based Pooling in Convolutional Neural Networks for Audio Event Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2020

A Comparative Analysis of Residual Block Alternatives for End-to-End Audio Classification.
IEEE Access, 2020

2019
On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification.
CoRR, 2019

Sound Event Envelope Estimation in Polyphonic Mixtures.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Adaptive Mid-Term Representations for Robust Audio Event Classification.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

2017
Analysis of data fusion techniques for multi-microphone audio event detection in adverse environments.
Proceedings of the 19th IEEE International Workshop on Multimedia Signal Processing, 2017

2016
A case study on feature sensitivity for audio event classification using support vector machines.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016


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