People

Group leaders

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

About me

My research area is computational audio content analysis with a focus on Machine Listening. This includes different environmental sound detection and classification tasks, audio captioning, continual learning for audio, audio data collection and annotation procedures, evaluation methodology for related task, and metrics.

I am actively involved in the DCASE Challenge as a task organizer and general challenge coordinator. I am also the vice-chair of the DCASE Community and a regular contributor to the DCASE workshop as an author and reviewer.

I am a member of ELLIS Society, Climate AI Nordics, IEEE AASP Technical committee, and EURASIP ASMSP TAC.

Responsibilities

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

During academic year 2024-2025 I am teaching the Advanced Audio Processing course.

Research topics

Sound event detection

Acoustic scene and sound event classification

Audio-visual feature learning

Audio captioning

Continual learning for audio

Research fields

Computational audio content analysis, Audio signal processing, Machine listening, Machine learning for audio

Own links

Latest publications

A Closer Look at Class-Incremental Learning for Multi-Label Audio Classification

Mulimani, M. & Mesaros, A., 3 maalisk. 2025, julkaisussa: IEEE Transactions on Audio, Speech and Language Processing. 33, s. 1293-1306

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

A decade of DCASE: Achievements, practices, evaluations and future challenges

Mesaros, A., Serizel, R., Heittola, T., Virtanen, T. & Plumbley, M. D., 2025, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (toim.). IEEE, s. 1-5 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Class-Incremental Learning for Sound Event Localization and Detection

Pandey, R., Mulimani, M., Politis, A. & Mesaros, A., 2025, 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW). IEEE, s. 1-5 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Computer Audition: From Task-Specific Machine Learning to Foundation Models

Triantafyllopoulos, A., Tsangko, I., Gebhard, A., Mesaros, A., Virtanen, T. & Schuller, B. W., elok. 2025, julkaisussa: Proceedings of the IEEE. 113, 4, s. 317 - 343

Tutkimustuotos: Katsausartikkeli › vertaisarvioitu

Domain-Incremental Learning for Audio Classification

Mulimani, M. & Mesaros, A., 2025, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, s. 1-5 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Learning Order Matters in Class-Incremental Learning for Sound Localization and Detection

Pandey, R., Mulimani, M., Politis, A. & Mesaros, A., 2025, 2025 33rd European Signal Processing Conference (EUSIPCO). IEEE, s. 251-255

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Online incremental learning for audio classification using a pretrained audio model

Mulimani, M. & Mesaros, A., 2025, 2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Sound event detection with audio-text models and heterogeneous temporal annotations

Harju, M. & Mesaros, A., 2025, 2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Acoustic Scene Classification Across Multiple Devices Through Incremental Learning of Device-Specific Domains

Mulimani, M. & Mesaros, A., 2024, Proceedings of the Detection and Classification of Acoustic Scenes and Events 2024 Workshop (DCASE2024). DCASE, s. 81-85 4 Sivumäärä

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Audio Captioning in Finnish and English with Task-Dependent Output

Martin Morato, I., Harju, M. & Mesaros, A., 2024, Proceedings of the Detection and Classification of Acoustic Scenes and Events 2024 Workshop (DCASE2024). DCASE, s. 76-80

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Archontis Politis

Assistant Professor
Signal Processing and Machine Learning
Faculty of Information Technology and Communication Sciences
Tampere University
+358504422417
archontis.politis@tuni.fi

https://orcid.org/0000-0002-0595-2356

More information

About me

I am an assistant professor in audio signal processing and machine learning at the Faculty of Information Technology and Communication Sciences of Tampere University, and part of the Audio Research Group and the Signal Processing Research Center.

Responsibilities

Apart from research and teaching at Tampere University, I am additionally a member of the European Association for Signal Processing (EURASIP) technical area committee on Acoustic, Speech, and Music Signal Processing, and a regular organiser in the DCASE Challenge. On the industry side, I am a co-founder of Aani, a spatial audio technology startup.

Field of expertise

My research focus is on capturing, modeling, and rendering spatial properties of sound scenes using both signal processing and machine learning methods. Applications of the research range from 3D audio capture, spatial audio coding, spatial audio rendering, and audio for XR, to sound source localization and tracking, acoustic SLAM, and spatial machine listening. I am additionally interested in sound field modeling, virtual acoustics, and acoustical modeling in general.

Research unit

Signal Processing Research Center

Top achievements

Some personal milestones that I believe had/have some real-world impact to the research community in academia and industry:

Editor of "Parametric Time-Frequency Domain Spatial Audio", Ville Pulkki, Symeon Delikaris-Manias, Archontis Politis, Wiley/IEEE Press, Dec. 2017.
SPARTA/COMPASS advanced spatial audio production tools (with PhD supervisee Leo McCormack).
Main organiser of Sound Event Localization and Detection task in DCASE Challenge, 2020-2024.
Architect of the reference implementation of "6DOF spatial audio rendering from multi-point recordings" track in the MPEG-I standard for next-gen immersive media (together with Nokia Technologies).

Own links

Latest publications

Attractor-Based Speech Separation of Multiple Utterances by Unknown Number of Speakers

Wang, Y., Politis, A., Drossos, K. & Virtanen, T., 2025, Interspeech 2025. ISCA, s. 1453-1457 (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Class-Incremental Learning for Sound Event Localization and Detection

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Gen-A: Generalizing Ambisonics Neural Encoding to Unseen Microphone Arrays

Heikkinen, M., Politis, A., Drossos, K. & Virtanen, T., 2025, ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). Rao, B. D., Trancoso, I., Sharma, G. & Mehta, N. B. (toim.). IEEE, s. 1-5 (Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Inter-Speaker Relative Cues for Text-Guided Target Speech Extraction

Dai, W., Politis, A. & Virtanen, T., 2025, Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. ISCA, s. 1918-1922 (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Learning Order Matters in Class-Incremental Learning for Sound Localization and Detection

Pandey, R., Mulimani, M., Politis, A. & Mesaros, A., 2025, 2025 33rd European Signal Processing Conference (EUSIPCO). IEEE, s. 251-255

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Multi-Utterance Speech Separation and Association Trained on Short Segments

Wang, Y., Politis, A., Drossos, K. & Virtanen, T., 2025, 2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA). IEEE, s. 1-5 (IEEE Workshop on Applications of Signal Processing to Audio and Acoustics).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Score-Informed Music Source Separation: Improving Synthetic-To-Real Generalization in Classical Music

Eetu, T., Diaz-Guerra Aparicio, D., Politis, A. & Virtanen, T., 17 marrask. 2025, 2025 33rd European Signal Processing Conference (EUSIPCO): Proceedings. IEEE, s. 1238 1242 Sivumäärä

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Stereo Sound Event Localization and Detection with Onscreen/offscreen Classification

Shimada, K., Politis, A., Roman, I. R., Ariyakulam Sudarsanam, P., Diaz-Guerra Aparicio, D., Pandey, R., Uchida, K., Koyama, Y., Takahashi, N., Shibuya, T., Takahashi, S., Virtanen, T. & Mitsufuji, Y., lokak. 2025, Proceedings of the 10th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2025). DCASE, s. 140-144 4 Sivumäärä

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation

Garcia-Martinez, J., Diaz-Guerra, D., Politis, A., Virtanen, T., Carabias-Orti, J. J. & Vera-Candeas, P., 2025, julkaisussa: IEEE Open Journal of Signal Processing. 6, s. 129-137

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

A Dataset for Location- and Direction-Dependent Reverberation Analysis

Alary, B. & Politis, A., 2024, Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023. European Acoustics Association, s. 1663-1670 (Proceedings of Forum Acusticum).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Tuomas Virtanen

Professor
Signal processing
Faculty of Information Technology and Communication Sciences
Tampere University
+358401981308
tuomas.virtanen@tuni.fi

More information

Field of expertise

Audio signal processing, content analysis of audio, machine listening, sound source separation. For more information, please see https://homepages.tuni.fi/tuomas.virtanen/

Okko Räsänen

Professor
signaalinkäsittely
Faculty of Information Technology and Communication Sciences
Tampere University
+358504450678
okko.rasanen@tuni.fi

Members

Daniil Kocharov

Senior Research Fellow
Faculty of Information Technology and Communication Sciences
Tampere University
daniil.kocharov@tuni.fi

David Diaz-Guerra Aparicio

Postdoctoral Research Fellow
Faculty of Information Technology and Communication Sciences
Tampere University
david.diaz-guerra@tuni.fi

https://orcid.org/0000-0002-1041-0498

More information

About me

I studied telecommunications engineering at the University of Zaragoza (Spain), where I obtained my Ph.D. degree in March 2023 with my thesis A Geometric Deep Learning Approach to Sound Source Localization and Tracking. I am now a postdoctoral researcher at the Audio Research Group of Tampere University (Finland), where I worked on sound source separation within the European Research and Innovation (RIA) project REPERTORIUM and I'm now conducting my own research project on spatial audio funded by the Tampere Institute for Advanced Study (IAS).

Field of expertise

My main areas of expertise are sound source localization, tracking and separation using deep learning techniques.

Project links

Repertorium

Own links

GitHub

Latest publications

Bleeding Matrices: A New Tool for Music Source Separation Analysis and Evaluation

Kosonen, M. & Diaz-Guerra Aparicio, D., heinäk. 2025, Proceedings of the 25th International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE) and the Second conference on high performance computing (CHPC). CMMSE, 3 Sivumäärä (International Conference on Mathematical and Computational Methods in Science and Engineering Proceedings).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Score-Informed Music Source Separation: Improving Synthetic-To-Real Generalization in Classical Music

Eetu, T., Diaz-Guerra Aparicio, D., Politis, A. & Virtanen, T., 17 marrask. 2025, 2025 33rd European Signal Processing Conference (EUSIPCO): Proceedings. IEEE, s. 1238 1242 Sivumäärä

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Stereo Sound Event Localization and Detection with Onscreen/offscreen Classification

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

SynthSOD: Developing an Heterogeneous Dataset for Orchestra Music Source Separation

Garcia-Martinez, J., Diaz-Guerra, D., Politis, A., Virtanen, T., Carabias-Orti, J. J. & Vera-Candeas, P., 2025, julkaisussa: IEEE Open Journal of Signal Processing. 6, s. 129-137

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Baseline models and evaluation of sound event localization and detection with distance estimation in DCASE 2024 Challenge

Diaz-Guerra Aparicio, D., Politis, A., Ariyakulam Sudarsanam, P., Shimada, K., Krause, D., Uchida, K., Koyama, Y., Takahashi, N., Takahashi, S., Shibuya, T., Mitsufuji, Y. & Virtanen, T., 2024, Proceedings of the 9th Workshop on Detection and Classification of Acoustic Scenes and Events (DCASE 2024). DCASE, s. 41-45

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Permutation Invariant Recurrent Neural Networks for Sound Source Tracking Applications

Diaz-Guerra Aparicio, D., Politis, A., Miguel, A., Beltran, J. R. & Virtanen, T., 2024, Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023. European Acoustics Association, s. 2137 2142 Sivumäärä

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Direction of Arrival Estimation of Sound Sources Using Icosahedral CNNs

Diaz-Guerra Aparicio, D., Miguel, A. & Beltran, J. R., 2023, julkaisussa: Ieee-Acm transactions on audio speech and language processing. 31, s. 313-321

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Position Tracking of a Varying Number of Sound Sources with Sliding Permutation Invariant Training

Diaz-Guerra, D., Politis, A. & Virtanen, T., 4 syysk. 2023, 2023 31st European Signal Processing Conference (EUSIPCO). IEEE, s. 251-255 (European Signal Processing Conference).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

gpuRIR: A python library for room impulse response simulation with GPU acceleration

Diaz-Guerra Aparicio, D., Miguel, A. & Beltran, J. R., helmik. 2021, julkaisussa: Multimedia Tools and Applications. 80, s. 5653–5671

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Robust Sound Source Tracking Using SRP-PHAT and 3D Convolutional Neural Networks

Diaz-Guerra Aparicio, D., Miguel, A. & Beltran, J. R., 2021, julkaisussa: Ieee-Acm transactions on audio speech and language processing. 29, s. 300-311

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Michael Neri

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

https://orcid.org/0000-0002-6212-9139

More information

About me

Ciao! Moikka!

I am Michael Neri, and I am a Postdoctoral Research Fellow at Tampere University in the Audio Research Group. My research interests lie in the domain of Artificial Intelligence techniques applied to sound solving tasks: Replay Speech Detection using multi-channel recordings, Sound Event Detection, Acoustic Scene Classification, and Speaker Distance Estimation. Most of my audio processing works are within the DCASE (Detection and Classification of Acoustic Scene and Events) research context. At the same time, I am also interested in the effective quality assessment of multimedia (point clouds, light fields, etc…) using objective metrics.

Latest publications

Impact of Microphone Array Mismatches to Learning-Based Replay Speech Detection

Neri, M. & Virtanen, T., 17 marrask. 2025, 2025 33rd European Signal Processing Conference (EUSIPCO).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Low-Complexity Patch-Based No-Reference Point Cloud Quality Metric Exploiting Weighted Structure and Texture Features

Neri, M. & Battisti, F., huhtik. 2025, (E-pub ahead of print) julkaisussa: IEEE Transactions on Broadcasting.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Multi-channel Replay Speech Detection using an Adaptive Learnable Beamformer

Neri, M. & Virtanen, T., 2025, julkaisussa: IEEE Open Journal of Signal Processing. 6, s. 530-535

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Transforming Training with New Enabling Technologies: A Proposal to Verify the Efficacy of Virtual Reality Tools in the Occupational Health and Safety Sector

Bentivenga, R., Bernabei, M., Carli, M., Colabianchi, S., Costantino, F., Ferrarotti, A., Neri, M., Pietrafesa, E., Sorrentino, E. & Stabile, S., 2025, Intelligent Sustainable Systems. Springer Nature, (Lecture notes in networks and systems).

Tutkimustuotos: Luku › Tieteellinen › vertaisarvioitu

Unsupervised Network Anomaly Detection with Autoencoders and Traffic Images

Neri, M. & Baldoni, S., 17 marrask. 2025, 2025 33rd European Signal Processing Conference (EUSIPCO). s. 800-804 5 Sivumäärä

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Advancing Occupational Safety and Health Training: A Safety-II Integration of the ADDIE Model for Virtual Reality

Bentivenga, R., Bernabei, M., Carli, M., Colabianchi, S., Costantino, F., Ferrarotti, A., Neri, M., Pietrafesa, E., Sorrentino, E. & Stabile, S., 2024, ologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference. Springer Nature, s. 313–324 (Lecture Notes in Networks and Systems; Vuosikerta 1171).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Enhancing Occupational Safety and Health Training: A Guideline for Virtual Reality Integration

Bernabei, M., Colabianchi, S., Carli, M., Costantino, F., Ferrarotti, A., Neri, M. & Stabile, S., 2024, julkaisussa: IEEE Access. 12, s. 154349 - 154364

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Low-Complexity Attention-Based Unsupervised Anomalous Sound Detection Exploiting Separable Convolutions and Angular Loss

Neri, M. & Carli, M., marrask. 2024, julkaisussa: IEEE Sensors Letters. 8, 11, s. 1-4

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Speaker Distance Estimation in Enclosures from Single-Channel Audio

Neri, M., Politis, A., Krause, D., Carli, M. & Virtanen, T., 2024, julkaisussa: IEEE/ACM Transactions on Audio Speech and Language Processing. 32, s. 2242-2254 13 Sivumäärä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Artificial Intelligence Techniques for Quality Assessments of Immersive Multimedia

Neri, M. & Carli, M., 12 kesäk. 2023, s. 390-393.

Tutkimustuotos: Muu konferenssimateriaali › Abstrakti › Tieteellinen

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

Janani Fernandez

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

Riccardo Casciotti

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
riccardo.casciotti@tuni.fi

Francesco Colotti

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
francesco.colotti@tuni.fi

Stefan Wirler

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

Duygu Dogan

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
duygu.dogan@tuni.fi

Kalle Lahtinen

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
kalle.t.lahtinen@tuni.fi

Parthasaarathy Ariyakulam Sudarsanam

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
parthasaarathy.ariyakulamsudarsanam@tuni.fi

Bálint Turi

Project Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
balint.turi@tuni.fi

Einari Vaaras

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
einari.vaaras@tuni.fi

https://orcid.org/0000-0002-8714-6090

More information

Own links

GitHub

Latest publications

Feature Space Topology Control via Hopkins Loss

Vaaras, E. & Airaksinen, M., 2025, The IEEE International Conference on Tools with Artificial Intelligence. IEEE, s. 427-432 ( Proceedings - International Conference on Tools with Artificial Intelligence).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

IAR 2.0: An Algorithm for Refining Inconsistent Annotations for Time-Series Data Using Discriminative Classifiers

Vaaras, E., Airaksinen, M. & Räsänen, O., 2025, julkaisussa: IEEE Access. 13, s. 19979-19995 17 Sivumäärä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Investigating Affect Mining Techniques for Annotation Sample Selection in the Creation of Finnish Affective Speech Corpus

Lahtinen, K., Vaaras, E., Mustanoja, L. & Räsänen, O., 2025, Interspeech 2025: Proceedings of the International conference on spoken language processing. International Speech Communication Association ISCA, s. 3958-3962 (Interspeech).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

PFML: Self-Supervised Learning of Time-Series Data Without Representation Collapse

Vaaras, E., Airaksinen, M. & Räsänen, O., 2025, julkaisussa: IEEE Access. 13, s. 60233-60244 12 Sivumäärä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Automatic assessment of infant carrying and holding using at-home wearable recordings

Airaksinen, M., Vaaras, E., Haataja, L., Räsänen, O. & Vanhatalo, S., 2024, julkaisussa: Scientific Reports. 14, 1, 4852.

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Development of a speech emotion recognizer for large-scale child-centered audio recordings from a hospital environment

Vaaras, E., Ahlqvist-Björkroth, S., Drossos, K., Lehtonen, L. & Räsänen, O., maalisk. 2023, julkaisussa: Speech Communication. 148, s. 9-22 14 Sivumäärä

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

Evaluation of self-supervised pre-training for automatic infant movement classification using wearable movement sensors

Vaaras, E., Airaksinen, M., Vanhatalo, S. & Räsänen, O., elok. 2023, 2023 45th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC): Proceedings. IEEE, s. 1-6 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Analysis of Self-Supervised Learning and Dimensionality Reduction Methods in Clustering-Based Active Learning for Speech Emotion Recognition

Vaaras, E., Airaksinen, M. & Räsänen, O., 2022, Proceedings of INTERSPEECH 2022. International Speech Communication Association ISCA, s. 1143-1147 5 Sivumäärä (Interspeech).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Automatic analysis of the emotional content of speech in daylong child-centered recordings from a neonatal intensive care unit

Vaaras, E., Ahlqvist-Björkroth, S., Drossos, K. & Räsänen, O., 2021, 22nd Annual Conference of the International Speech Communication Association, INTERSPEECH 2021. International Speech Communication Association, s. 3380-3384 5 Sivumäärä (Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH; Vuosikerta 1).

Tutkimustuotos: Konferenssiartikkeli › Tieteellinen › vertaisarvioitu

Shiqi Zhang

Doctoral Researcher
(Marie Curie)
Faculty of Information Technology and Communication Sciences
Tampere University
shiqi.zhang@tuni.fi

Yuzhu Wang

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
yuzhu.wang@tuni.fi

https://orcid.org/0000-0002-4437-3111

More information

About me

I am a doctoral researcher in Tampere university. My research centers around signal processing and machine learning.

Yifu Sun

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
yifu.sun@tuni.fi

Ricardo Falcón Pérez

Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
ricardo.falconperez@tuni.fi

Wang Dai

Doctoral Researcher
Faculty of Information Technology and Communication Sciences
Tampere University
wang.dai@tuni.fi

Alumni

Irene Martin Morato (currently Machine Learning Engineer at Sandvik, Finland)
Maria Cruz Blandon
Daniel Krause (currently at Oura, Finland)
Eetu Tunturi
Toni Heittola (currently at Resoniks, Finland)
Khazar Khorrami (currently at Nokia Networks, Finland)
Gaurav Naithani
Paul Ahokas (currently at Fujitsu, Finland)
Diep Luong (currently at Nokia, Finland)
Mikhail Silaev
Shanshan Wang (currently Machine Learning Specialist at CSC, Finland)
Ruchi Pandey (currently Postdoctoral Researcher at University of Eastern Finland)
Huang Xie
Aapo Hakala
Mikko Parviainen (currently at Huawei Technologies, Finland)
Umar Zubair
Shuyang Zhao (currently CTO at Eigenspace, Germany)
Martin Moritz
Minh Tran
Eemi Fagerlund (currently Commercialization Specialist at Tampere University, Finland)
Deborah Mikyong
Sami Sinisalmi (currently at Saab, Finland)
Aleksandr Diment
Trung Van
Istiaq Ahsan
Ali Gohar
Antti Heikkilä
Matias Kesti
Henri Laakso
Juhani Linna
Leo McCormack (currently at Apple, CA, USA)
Michael McCrea
Toni Olan
Lauros Pajunen (currently at Nokia Technologies, Finland)
Charitha Raghavaraju
Taneli Rikala
Tran An
Outi Vellacott
Samuel Lipping
Shuyang Zhao
Pasi Pertilä (currently at Patria, Finland)
Konstantinos Drossos (currently at Nokia Technologies, Finland)
Guangpu Huang (currently at Aalto University)
Shayan Gharib (currently at Helsinki University)
Ville-Veikko Eklund (currently at Fujitsu)
Tuomo Tuunanen (currently at Eleiris AI)
Paul Magron (currently Research Scientist (tenured) at INRIA, France)
Farhad Javanmardi
Thomas Campbell
Emre Cakir (currently Senior Speech Recognition Engineer at Inscripta, Finland)
Istiaq Ahsan
Sharath Adavanne (currently Director at Krutrim, India)
Aki Tinakari (currently at Atostek, Finland)
Joonas Nikunen (currently at Patria, Finland)
Aino Koskimies
Giambattista Parascandolo (currently AI Research Scientist at OpenAI, CA, USA)
Ronal Bejarano
Tom Barker
Joonas Kauppinen
Julio J. Carabias Orti (currently at Universidad de Jaén, Spain)
Anssi Klapuri (currently at Yousician, Finland)
Antti Hurmalainen (currently at Yousician, Finland)
Bishwa Subedi
Hanna Silén
Jani Nurminen
Jani Mäkinen
Oguzhan Gencoglu
Saira Shaheen
Victor Popa
Mikael Mieskolainen
Fawad Mazhar
Toni Mäkinen
Konsta Koppinen
Elina Helander
Ali Bahrami Rad
Dani Korpi
Jouni Paulus
Antti Löytynoja
Marko Helén
Joona Hakala
Matti Ryynänen
Mikko Roininen
Mikko Myllymäki
Tomi Mikkonen
Juha Matikainen
Teemu Karjalainen
Enikö Beatrice Bilcu
Atte Virtanen
Özge Çokpekin
Sakari Tervo (currently Acoustic Consultant at A-Insinöörit, Finland)
Tuomo Pirinen
Andreas Tsoumanis
Ulpu Sinervo
Juuso Penttilä
Antti Eronen (currently Senior Scientist at Nokia Technologies, Finland)
Timo Viitaniemi
Juha Tuomi
Riitta Niemistö
Tuomo Mäkelä
Marjo Lähdekorpi
Heidi Koivisto
Matti Vihola
Petri Rehtonen
Timo Pylvänäinen
Antti Pasanen
Jarmo Makkonen
Jussi Leppänen
Sami Kuja-Halkola
Paula Keltto
Carlos Bueno
Jarno Seppänen
Vesa Peltonen
Jari Yli-Hietanen
Jani Tuisku
Jukka Sillanpää
Teemu Saarelainen
Antti-Veikko Rosti
Tommi Lahti
Jukka Kivimäki
Jussi Routakangas
Anssi Rämö
Sami Kananoja
Antti Ala-Tala

Visitors

Martynas Dumpis (2025, Vilnius Gediminas Technical University)
Marianthi Adamopoulou-Soulantika (2025, Mid-Sweden University, Sweden)
Meng Jiang (2025, Mid-Sweden University, Sweden)
Mohammad Moghimi (2025, University of Limerick)
Carlos Castorena (2024)
Michael Neri (2023, Roma Tre University, Italy)
Mateusz Guzik (2023, AGH University of Kraków, Poland)
David Diaz-Guerra Aparicio (2022, University of Zaragoza, Spain)
John Martinsson (2024, Lunds University)
Bilal Lamsili (2024)
Abolfazli Aminabadi (2024)
Guillermo Garcia Barrios (2021, Technical University of Madrid, Spain)
Jamil Wajeeha (2022)
Xavier Favory (2019)
Slobodan Dukanovic (2019)
Konrad Kowalczyk (2019, AGH University of Kraków, Poland)
Daniel Alexander Krause (2019, AGH University of Kraków, Poland)
Muñoz Montoro Antonio Jesús (2019, University of Jaén, Spain)
Andres Perez Lopez (2019, Eurecat Technology Centre/Pompeu Fabra University, Spain)
Miriana Torquati
Niccolò Nicodemo (2019)
Yanxiong Li (2019)
Martin Hrabina (2019)
Marc Green (2019)
Helen L. Bear (2019)
Habibeh Ghaheri (2018)
Héctor Sánchez-Hevia (2017)
Pablo San Juan Sebastián (2017)
Hugo Jallet (2017)
Michele Valenti (2016)
Miroslav Malik (2016)
Igor Guoth (2015)
Szymon Drgas (2013)
Johannes Rabe (2012)
Róbert Gubka (2012)
Michael Wohlmayr (2011)
Cristian Rusu (2011)
Marius Ghiurcau (2010)
Jort Gemmeke (2009)
David dos Santos Alves (2009)
Michael Betser (2009)
Matti Varjokallio (2007)
Jan Schwarz (2007)
Ana Maria Barbancho (2007)
Antonio Pertusa (2005)
Dragomir Nikolov (2004)
Arnaud Philibert (1999)