Michael Neri
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
Markerless emotion recognition from full-body movements for Social XR
Neri, M., Baldoni, S., Carli, M. & Battisti, F., Apr 2026, In: Signal Processing: Image Communication. 143, 117489.Research output: Contribution to journal › Article › Scientific › peer-review
Impact of Microphone Array Mismatches to Learning-Based Replay Speech Detection
Neri, M. & Virtanen, T., 17 Nov 2025, 2025 33rd European Signal Processing Conference (EUSIPCO).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Low-Complexity Patch-Based No-Reference Point Cloud Quality Metric Exploiting Weighted Structure and Texture Features
Neri, M. & Battisti, F., Jun 2025, In: IEEE Transactions on Broadcasting. 71, 2, p. 631-640 10 p.Research output: Contribution to journal › Article › Scientific › peer-review
Multi-channel Replay Speech Detection using an Adaptive Learnable Beamformer
Neri, M. & Virtanen, T., 2025, In: IEEE Open Journal of Signal Processing. 6, p. 530-535Research output: Contribution to journal › Article › Scientific › peer-review
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, (Lecture notes in networks and systems).Research output: Chapter in Book/Report/Conference proceeding › Chapter › Scientific › peer-review
Unsupervised Network Anomaly Detection with Autoencoders and Traffic Images
Neri, M. & Baldoni, S., 17 Nov 2025, 2025 33rd European Signal Processing Conference (EUSIPCO). IEEE, p. 800-804 5 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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, p. 313–324 (Lecture Notes in Networks and Systems; vol. 1171).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
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, In: IEEE Access. 12, p. 154349 - 154364Research output: Contribution to journal › Article › Scientific › peer-review
Low-Complexity Attention-Based Unsupervised Anomalous Sound Detection Exploiting Separable Convolutions and Angular Loss
Neri, M. & Carli, M., Nov 2024, In: IEEE Sensors Letters. 8, 11, p. 1-4Research output: Contribution to journal › Article › Scientific › peer-review
Semi-Supervised Acoustic Scene Classification Under Domain Shift Using an Attention Module and Angular Loss
Neri, M. & Carli, M., 2024, 2024 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2024. IEEE, (IEEE International Conference on Multimedia and Expo Workshops).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review