People

Group leader

Annamaria Mesaros

Academy Research Fellow
Faculty of Information Technology and Communication Sciences
Tampere University
+358504799943
annamaria.mesaros@tuni.fi

https://orcid.org/0000-0002-6640-9752

More information

About me

My research area is Machine Listening, with focus on Detection and Classification of Acoustic Scenes and Events. My work includes different environmental sound detection and classification tasks, data collection and annotation procedures, evaluation methodology and metrics. I have been actively involved into promoting DCASE Challenge and Workshop , both through coordination work and publication of open data and research.

Responsibilities

I am the leader of the Machine Listening Group. On the group webpage you can find detailed informaiton about the group members, research topics, and the list of publications with links to (green) open access for all of them.

Latest publications

Binaural Sound Source Distance Estimation and Localization for a Moving Listener

Krause, D. A., Garcia-Barrios, G., Politis, A. & Mesaros, A., 2024, julkaisussa: IEEE/ACM Transactions on Audio Speech and Language Processing. 32, s. 996 - 1011 16 Sivumäärä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Class-Incremental Learning for Multi-Label Audio Classification

Mulimani, M. & Mesaros, A., 2024, 2024 IEEE International Conference on Acoustics, Speech, and Signal Processing: Proceedings. IEEE, s. 916-920 5 Sivumäärä (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Contrasting a semiotic conceptualization of translation with AI text production: The case of audio captioning

Haapaniemi, R., Mesaros, A., Harju, M., Martin Morato, I. & Hirvonen, M., 2024, julkaisussa: Stridon. 4, 1, s. 25-51

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Aggregate or Separate: Learning From Multi-Annotator Noisy Labels for Best Classification Performance

Martín-Morató, I., Ahokas, P. & Mesaros, A., 2023, Proceedings of the 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2023). Fuentes, M., Heittola, T., Imoto, K., Mesaros, A., Politis, A., Serizel, R. & Virtanen, T. (toim.). Tampere University, s. 106-110

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Evaluating Classification Systems Against Soft Labels with Fuzzy Precision and Recall

Harju, M. & Mesaros, A., 2023, Proceedings of the 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2023). Fuentes, M., Heittola, T., Imoto, K., Mesaros, A., Politis, A., Serizel, R. & Virtanen, T. (toim.). Tampere University, s. 46-50

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Incremental Learning of Acoustic Scenes and Sound Events

Mulimani, M. & Mesaros, A., 2023, Proceedings of the 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2023). Fuentes, M., Heittola, T., Imoto, K., Mesaros, A., Politis, A., Serizel, R. & Virtanen, T. (toim.). Tampere University, s. 131-135

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Proceedings of the 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2023)

Fuentes, M. (Toimittaja), Heittola, T. (Toimittaja), Imoto, K. (Toimittaja), Mesaros, A. (Toimittaja), Politis, A. (Toimittaja), Serizel, R. (Toimittaja) & Virtanen, T. (Toimittaja), 2023, Tampere University. 235 Sivumäärä

Tutkimustuotos: Kokoomateos › Tieteellinen › vertaisarvioitu

Self-Supervised Learning of Audio Representations using Angular Contrastive Loss

Wang, S., Tripathy, S. & Mesaros, A., 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings. IEEE, (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; Vuosikerta 2023-June).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Sound Event Classification with Object-Based Labels

Afolaranmi, J., Martín-Morató, I. & Mesaros, A., 2023, Proceedings of the 8th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2023). Fuentes, M., Heittola, T., Imoto, K., Mesaros, A., Politis, A., Serizel, R. & Virtanen, T. (toim.). Tampere University, s. 1-5

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Strong labeling of sound events using crowdsourced weak labels and annotator competence estimation

Martin-Morato, I. & Mesaros, A., 2023, julkaisussa: IEEE/ACM Transactions on Audio Speech and Language Processing. 31, s. 902-914 13 Sivumäärä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Group members

Irene Martin Morato

Postdoctoral Research Fellow
Faculty of Information Technology and Communication Sciences
Tampere University
+358505299367
irene.martinmorato@tuni.fi

https://orcid.org/0000-0002-2115-0193

Manjunath Mulimani

Postdoctoral Research Fellow
Faculty of Information Technology and Communication Sciences
Tampere University
manjunath.mulimani@tuni.fi

https://orcid.org/0000-0001-9927-1123

Manu Harju

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
manu.harju@tuni.fi

Shanshan Wang

Student, Doctoral Research
Faculty of Information Technology and Communication Sciences
Tampere University
shanshan.wang@tuni.fi

More information

Daniel Krause

Visitor, Research
Faculty of Information Technology and Communication Sciences
Tampere University
daniel.krause@tuni.fi