Department of Signal Processing, Tampere University
Korkeakoulunkatu 7, 33720, Tampere
michael.neri@tuni.fi
Researchgate profile
Gitlab profile
Weights & Biases profile
Biography
Michael Neri received the Laurea (B. Sc.) in Information Engineering from University of Padua in 2019 and the Laurea Magistrale (M. Sc.) in ICT for Internet & Multimedia from University of Padova in 2021. He was a visiting PhD student at Tampere University of Technology under the supervision of Prof. Virtanen in 2023. He is now a Ph.D. student (XXXVII cycle) in Applied Electronics at Roma Tre University at the Department of Industrial, Electronic and Mechanical Engineering.
Research
His main research interests are in the area of Computer Vision, Deep Learning and audio processing.
Publications
Journal Publications
2024
Bernabei, Margherita; Colabianchi, Silvia; Carli, Marco; Costantino, Francesco; Ferrarotti, Anna; Neri, Michael; Stabile, Sara
Enhancing Occupational Safety and Health Training: A Guideline for Virtual Reality Integration Journal Article
In: IEEE Access, 2024.
@article{Bernabei_A_2024,
title = {Enhancing Occupational Safety and Health Training: A Guideline for Virtual Reality Integration},
author = {Margherita Bernabei and Silvia Colabianchi and Marco Carli and Francesco Costantino and Anna Ferrarotti and Michael Neri and Sara Stabile},
doi = {10.1109/ACCESS.2024.3481668},
year = {2024},
date = {2024-10-16},
urldate = {2024-10-16},
journal = {IEEE Access},
abstract = {Training in the Occupational Safety and Health (OSH) sector is crucial for minimizing workplace hazards and ensuring employee well-being. Virtual Reality (VR) emerges as a training tool that can enhance learning outcomes and simulate hazardous scenarios safely. However, several aspects must be taken into consideration when implementing VR-based training solutions. The paper investigates how to effectively design, develop, integrate, and validate a VR OSH training tool. To this aim, a comprehensive guideline of 9 key elements articulated in 29 items is proposed. Every element and item is retrieved from analyzing the existing literature on the topic using a systematic approach. The result is a comprehensive guide to consider all these aspects from the outset of design, in a cohesive, complete, and tailored manner. This formalization is intended to facilitate the advancement of research and implementation of these solutions, which to date have been largely confined to prototypes or lack real practical application.},
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Neri, Michael; Archontis, P.; Krause, D.; Carli, Marco; Virtanen, T.
Speaker Distance Estimation in Enclosures from Single-Channel Audio Journal Article
In: IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2024.
@article{Neri_TASLP_2024,
title = {Speaker Distance Estimation in Enclosures from Single-Channel Audio},
author = {Michael Neri and P. Archontis and D. Krause and Marco Carli and T. Virtanen},
doi = {10.1109/TASLP.2024.3382504},
year = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {IEEE/ACM Transactions on Audio, Speech, and Language Processing},
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pubstate = {published},
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2023
Lamichhane, Kamal; Neri, Michael; Paudyal, Pradip; Battisti, Federica; Carli, Marco
No-Reference Light Field Image Quality Assessment Exploiting Saliency Journal Article
In: IEEE Transactions on Broadcasting, pp. 1-11, 2023.
@article{Lamicchane_2023_TBC,
title = {No-Reference Light Field Image Quality Assessment Exploiting Saliency},
author = {Kamal Lamichhane and Michael Neri and Pradip Paudyal and Federica Battisti and Marco Carli},
doi = {10.1109/TBC.2023.3242150},
year = {2023},
date = {2023-04-03},
urldate = {2023-04-03},
journal = {IEEE Transactions on Broadcasting},
pages = {1-11},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
2022
Neri, Michael; Battisti, Federica; Neri, Alessandro; Carli, Marco
Sound Event Detection for Human Safety and Security in Nosiy Environments Journal Article
In: IEEE Access , 2022.
@article{neri_Access_2022,
title = {Sound Event Detection for Human Safety and Security in Nosiy Environments},
author = {Michael Neri and Federica Battisti and Alessandro Neri and Marco Carli},
doi = {10.1109/ACCESS.2022.3231681},
year = {2022},
date = {2022-12-22},
urldate = {2022-01-01},
journal = {IEEE Access },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Conference Proceedings
2025
Bentivenga, Rosina; Bernabei, Margherita; Carli, Marco; Colabianchi, Silvia; Costantino, Francesco; Ferrarotti, Anna; Neri, Michael; Pietrafesa, Emma; Sorrentino, Edvige; Stabile, Sara
Transforming Training with New Enabling Technologies: A Proposal to Verify the Efficacy of Virtual Reality Tools in the Occupational Health and Safety Sector Proceedings Article
In: Intelligent Sustainable Systems (Worlds4 2024), Springer Nature Link, 2025.
@inproceedings{Bentivenga_Worlds4_2024,
title = {Transforming Training with New Enabling Technologies: A Proposal to Verify the Efficacy of Virtual Reality Tools in the Occupational Health and Safety Sector},
author = {Rosina Bentivenga and Margherita Bernabei and Marco Carli and Silvia Colabianchi and Francesco Costantino and Anna Ferrarotti and Michael Neri and Emma Pietrafesa and Edvige Sorrentino and Sara Stabile },
doi = {10.1007/978-981-97-9327-3_34},
year = {2025},
date = {2025-02-20},
urldate = {2025-02-20},
booktitle = {Intelligent Sustainable Systems (Worlds4 2024)},
publisher = {Springer Nature Link},
abstract = {In the context of digital transformation in the occupational health and safety sector, this research focuses on the efficacy of virtual reality training tools in ensuring workplace safety during maintenance activities. A comprehensive methodology, including focus groups and workshops, is utilized to define a study protocol and evaluate the proposed virtual reality solution. The study suggests that immersive virtual reality training, which integrates the Skill-Rule-Knowledge framework, has the potential to enhance workers’ ability to manage unforeseen situations. It emphasizes the importance of practical, scenario-based training and outlines a detailed evaluation process. The conclusion highlights the need for ongoing validation and future steps to extend the application to supervisors, fostering improved health and safety management in the workplace.},
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2024
Bentivenga, Rosina; Bernabei, Margherita; Carli, Marco; Colabianchi, Silvia; Costantino, Francesco; Ferrarotti, Anna; Neri, Michael; Pietrafesa, Emma; Sorrentino, Edvige; Stabile, Sara
Advancing Occupational Safety and Health training: a Safety-II integration of the ADDIE model for virtual reality Proceedings Article
In: Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference (MIS4TEL 2024), Springer Nature Link, 2024.
@inproceedings{Bentivenga_MIS4TEL_2024,
title = {Advancing Occupational Safety and Health training: a Safety-II integration of the ADDIE model for virtual reality},
author = {Rosina Bentivenga and Margherita Bernabei and Marco Carli and Silvia Colabianchi and Francesco Costantino and Anna Ferrarotti and Michael Neri and Emma Pietrafesa and Edvige Sorrentino and Sara Stabile},
doi = {10.1007/978-3-031-73538-7_28},
year = {2024},
date = {2024-12-28},
urldate = {2024-12-28},
booktitle = {Methodologies and Intelligent Systems for Technology Enhanced Learning, 14th International Conference (MIS4TEL 2024)},
publisher = {Springer Nature Link},
abstract = {This paper examines the enhancement of occupational safety and health (OSH) training in manufacturing through the integration of Safety-II principles within a Virtual Reality (VR) training framework, applying the Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model. Amidst the digital transformation in manufacturing, innovative training methods such as VR have become instrumental in improving operational safety and efficiency. However, the incorporation of Safety-II, a philosophy emphasizing the complexity of organizational systems and the need for resilience, has not been systematically applied to VR training designs. Through a series of focus group sessions, this study presents a new method for creating VR training materials. Designed to foster systemic thinking, resilience, proactivity, learning, flexibility, and leverage human performance variability, these courses are in line with Safety-II's transition from merely preventing negative outcomes to understanding and increasing positive capacities. The results lead to a newintegration of the ADDIE model within a Safety-II framework for VR-based OSH training, enhanced by Skill-Rules-Knowledge (SRK) specific guiding principles.},
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2023
Neri, Michael; Pallota, Luca; Carli, Marco
Low-Complexity Environmental Sound Classification using Cadence Frequency Diagram and Chebychev Moments Proceedings Article
In: 13th Int’l Symposium on Image and Signal Processing and Analysis, 2023.
@inproceedings{Neri_ISPA_2023,
title = {Low-Complexity Environmental Sound Classification using Cadence Frequency Diagram and Chebychev Moments},
author = {Michael Neri and Luca Pallota and Marco Carli},
year = {2023},
date = {2023-07-26},
urldate = {2023-07-26},
booktitle = {13th Int'l Symposium on Image and Signal Processing and Analysis},
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pubstate = {published},
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Neri, Michael; Carli, Marco
Artificial Intelligence Techniques for Quality Assessments of Immersive Multimedia Proceedings Article
In: ACM International Conference on Interactive Media Experiences (IMX), 2023.
@inproceedings{Neri_2023_IMX,
title = {Artificial Intelligence Techniques for Quality Assessments of Immersive Multimedia},
author = {Michael Neri and Marco Carli},
doi = {10.1145/3573381.3596502},
year = {2023},
date = {2023-06-13},
urldate = {2023-06-13},
booktitle = {ACM International Conference on Interactive Media Experiences (IMX)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Neri, Michael; Politis, A.; Krause, D.; Carli, Marco; Virtanen, T.
Speaker Distance Estimation from Single Channel Audio in Reverberant Environments Proceedings Article
In: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA), 2023.
@inproceedings{Neri_2023_WASPAA,
title = {Speaker Distance Estimation from Single Channel Audio in Reverberant Environments},
author = {Michael Neri and A. Politis and D. Krause and Marco Carli and T. Virtanen},
year = {2023},
date = {2023-01-01},
booktitle = {IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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2022
Luca, Pallotta; Neri, Michael; Buongiorno, Martino; Neri, Alessandro; Giunta, Gaetano
A Machine Learning-based Approach for Audio Signals Classification using Chebychev Moments and Mel-Coefficient Proceedings Article
In: 7th International Conference on Frontiers of Signal Processing (ICFSP), pp. 120-124, 2022.
@inproceedings{icfsp2022_pallotta,
title = {A Machine Learning-based Approach for Audio Signals Classification using Chebychev Moments and Mel-Coefficient },
author = {Pallotta Luca and Michael Neri and Martino Buongiorno and Alessandro Neri and Gaetano Giunta},
doi = {10.1109/ICFSP55781.2022.9924832},
year = {2022},
date = {2022-10-28},
urldate = {2022-01-01},
booktitle = {7th International Conference on Frontiers of Signal Processing (ICFSP)},
pages = {120-124},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Neri, Michael; Battisti, Federica
3D Object Detection On Synthetic Point Clouds For Railway Applications Proceedings Article
In: 10th European Workshop on Visual Information Processing (EUVIP), 2022.
@inproceedings{euvip2022_obj_neri,
title = {3D Object Detection On Synthetic Point Clouds For Railway Applications },
author = {Michael Neri and Federica Battisti },
doi = {10.1109/EUVIP53989.2022.9922901},
year = {2022},
date = {2022-10-20},
urldate = {2022-01-01},
booktitle = {10th European Workshop on Visual Information Processing (EUVIP)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Neri, Michael; Ferrarotti, Anna; de Luisa, Luca; Salimbeni, Andrea; Carli, Marco
ParalMGC Multiple Audio Representations for Synthetic Human Speech Attribution Proceedings Article
In: 10th European Workshop on Visual Information Processing (EUVIP), 2022.
@inproceedings{euvip2022_audio_neri,
title = {ParalMGC Multiple Audio Representations for Synthetic Human Speech Attribution },
author = {Michael Neri and Anna Ferrarotti and Luca de Luisa and Andrea Salimbeni and Marco Carli},
doi = {10.1109/EUVIP53989.2022.9922861},
year = {2022},
date = {2022-10-20},
urldate = {2022-01-01},
booktitle = {10th European Workshop on Visual Information Processing (EUVIP)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
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Baldoni, Sara; Battisti, Federica; Brizzi, Michele; Neri, Michael; Neri, Alessandro
A Semantic Segmentation-based Approach for Train Positioning Proceedings Article
In: ITM/PTTI Institute Of Navigation (ION), pp. 1380-1391, 2022.
@inproceedings{ion2022_baldoni,
title = {A Semantic Segmentation-based Approach for Train Positioning },
author = {Sara Baldoni and Federica Battisti and Michele Brizzi and Michael Neri and Alessandro Neri},
doi = {10.33012/2022.18164},
year = {2022},
date = {2022-01-25},
urldate = {2022-01-01},
booktitle = {ITM/PTTI Institute Of Navigation (ION)},
pages = {1380-1391},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}