Laboratories

NEAL lab

The NEAL laboratory specializes in the design and optimization of advanced computer network systems and applications. Leveraging Software Defined Networking (SDN) and high-performance programmable switches powered by the Tofino 2 chipset—featuring 32 ports at 100Gbps—the lab develops sophisticated control logic and algorithms to enhance network performance across various environments, including data centers and Internet routing infrastructures. Additionally, NEAL employs rigorous analytical modeling to study social networks, supported by rich datasets available to its researchers.

Finally, the NEAL Lab focuses on the pervasive integration of energy efficiency and resilience in future ICT and telecommunication systems. In particular, it envisions the design and modeling of energy- and resilience-aware solutions and resource management strategies across future terrestrial and non-terrestrial networks. Research activities span from green communication networks to sustainable and edge AI, grounded in analytical modeling, simulation frameworks and data-driven evaluation tools.

Topics

  • Software Defined Networking (SDN) and P4
  • Traffic monitoring and cybersecurity applications
  • Green networking
  • Network modeling
  • Social networks

People

  • Prof. Andrea Bianco
  • Prof. Paolo Giaccone
  • Prof. Emilio Leonardi
  • Prof. Michela Meo
  • Prof. Daniela Renga

Resources

  • SUP4RNET platform
  • Programmable switches
  • GPU-equipped servers with smart NICs
  • Network emulators and simulators.

Project

SUPER/RESTART PNRR: https://fondazione-restart.it/it/progetti/s2-super/


SONIC lab

The SONIC Lab (Sound, Networking, and Interactive Computing Laboratory) focuses on cutting-edge research at the intersection of music, technology, and human interaction. Our activities explore innovative ways to create, experience, and study music and artistic performance, both locally and across networks. Key areas of research include:

  • Networked Music Performances: Designing systems that allow musicians to perform together in real time across distances, overcoming technical and latency challenges.
  • Inclusive Technologies for Remote Musical Education and Practices: Developing accessible tools and platforms that enable learners and performers of all abilities to engage in musical practice remotely.
  • Musical Interactions in the Metaverse: Investigating immersive, interactive musical experiences in virtual and augmented reality environments.
  • Music Informatics: Analyzing, modeling, and computing musical data to enhance understanding, composition, and creative expression.
  • Music and Art Computing: Exploring computational approaches to integrate music with other artistic media, fostering new forms of creative expression.
  • Human-Machine Interaction for Music and Artistic Performances: Creating interfaces and intelligent systems that enhance collaboration between performers, audiences, and machines.

Through these activities, the lab aims to push the boundaries of how music and art are created, shared, and experienced in both physical and virtual spaces.

People

Faculty

Post-doc

PhD

Projects

Ongoing projects

MUSMETMusical Metaverse made in Europe – EU EiC Pathfinder Open

The MUSMET project proposes a vision and cutting-edge technological innovation for the future classes of Musical Metaverse devices, networking systems, and services, capable of catering to the needs and expectations of musicians and audiences. The implementation of this vision will spur the creation of radically new ecosystems of interoperable devices and communities utilising them, which holds significant benefits for society, economy, and art.

TIVOM – Tactile Integration for Visually-impaired Orchestra MusiciansPOpS Social Impact Project

The project introduces a wearable vibrotactile device that translates the conductor’s gestures and facial expressions into real-time tactile feedback perceivable by musicians with visual impairments. Leveraging motion tracking technologies, multimodal data acquisition, and machine learning algorithms optimized for low-cost embedded platforms (e.g., Raspberry Pi), TIVOM aims to recognize conducting gestures and convert them into structured vibrotactile signals with minimal latency.

By combining accessible hardware design, real-time gesture recognition, and user-centered validation with visually-impaired musicians, the project seeks to remove sensory barriers that limit participation in orchestral contexts such as rehearsals, performances, and auditions.

The resulting system will promote inclusive musical practices, expand educational opportunities for music institutions, and stimulate innovation within the Internet of Musical Things (IoMusT) ecosystem, generating measurable social, scientific, and economic impact.

Past Projects

HiFiReMHigh Fidelity Remote Music Platform – FISR Project

The project envisions a web-based and hardware-augmented communication system capable of overcoming the audio quality degradation and synchronization limitations of conventional videoconferencing platforms. By prioritizing pristine audio transmission and minimizing mouth-to-ear latency below perceptual thresholds, HiFiReM enables geographically distributed musicians to interact “as if” they were co-present in the same acoustic space.

The platform combines innovative WebRTC-based software architecture, optimized audio transmission protocols, and a low-cost dedicated hardware unit (“music box”) to achieve high-quality, synchronized audio streams across standard broadband networks. Advanced features include real-time collaborative performance modes, distributed synchronization mechanisms, and remote audio mixing capabilities suitable for concerts, rehearsals, and music education.

HiFiReM opens new opportunities for remote artistic collaboration, expands access to music education, supports musicians with mobility constraints, and fosters the development of innovative digital music services. Its implementation contributes to strengthening the resilience and sustainability of the music sector in both emergency and non-emergency contexts.

Musical Metaverse (PRIN 2022 Project)Italian MUR PRIN 2022

The project envisions a new generation of interoperable Musical Metaverse ecosystems enabling musicians to compose, perform, and teach in immersive shared XR environments, overcoming geographical, physical, and social barriers. By integrating advanced human–computer interaction, low-latency networking architectures, machine learning–based traffic prediction and packet loss concealment, and ethical-by-design methodologies, the project aims to enable real-time synchronous musical collaboration between geographically distributed performers.

Through an iterative Design–Develop–Evaluate methodology, the project will deliver progressively refined prototypes capable of supporting collaborative composition, live performance, and music education across classical, pop, rock, and experimental genres. Special attention is devoted to inclusivity, accessibility, gender balance, and participation of visually- and motor-impaired musicians.

The implementation of this vision will lay the scientific and technological foundations of the Musical Metaverse field, fostering new socio-technical ecosystems, artistic practices, and digital communities, with significant impact on culture, research, industry, and society.

Real-Time MIDI Error Recovery for Ultra-Low Latency Networked Music Performance (PoC Project)

The project addresses a key challenge in Networked Music Performance (NMP): maintaining synchronous musical interaction between geographically distributed musicians under strict latency constraints (below 25–30 ms). Because such low latency prevents the use of retransmission protocols and large buffers, packet loss must be handled directly at the receiver without introducing additional delay.

The proposed solution integrates a patented real-time MIDI packet loss recovery mechanism that periodically transmits absolute system state information (active MIDI events), enabling reconstruction of missing data without retransmissions or acknowledgment mechanisms.

The prototype will be implemented on a low-cost embedded architecture based on FPGA and microcontroller technology, supporting both MIDI and raw audio streaming via RTP/UDP/IP in peer-to-peer configurations. It will ensure deterministic ultra-low-latency processing (<5 ms internal delay) and include real-time audio mixing capabilities controlled locally or remotely.

The demonstrator will be validated through objective measurements and perceptual testing with musicians under controlled latency and packet loss conditions. The technology opens opportunities for remote rehearsals, distributed live performances, music education, and professional studio collaboration, contributing to the advancement of Networked Music Performance and Internet of Musical Things ecosystems.

Publications

Journals

2026

  • Massimiliano Zanoni, Giacomo Sansoni, Davide Lista, Andrea Bianco, and Cristina Rottondi – Inferring Artist Similarity from Social Media Content: the Instagram Case, to appear in Journal of the Audio Engineering Society

2025

  • Pietro Buccellato, Andrea Bianco, and Cristina Rottondi – Soundy: a Multimodal Audio Interface for Educational Music Production, IEEE Access Volume 13, pp. 153105-153122, 2025

2024

  • Cristina Rottondi, Inclusiveness in Remote Music Teaching and Networked Music Performances: Vision, Technological Enablers and Design Strategies, in IEEE Communications Magazine, volume 62, no 12, pp. 34-40, December 2024
  • Cristina Rottondi, Matteo Sacchetto, Leonardo Severi, and Andrea Bianco – Towards an Inclusive Framework for Remote Musical Education and Practices – IEEE Access volume 12, pp.73836- 173849, 2024
  • Luca Turchet, Claudia Rinaldi, Carlo Centofanti, Luca Vignati, and Cristina Rottondi, 5G enabled Internet of Musical Things Architectures for Remote Immersive Musical Practices, IEEE Open Journal of the Communications Society volume 5, pp. 4691-4709, 2024
  • Matteo Sacchetto, Cristina Rottondi and Andrea Bianco, “Implementation and Optimization of Burg’s Method for Real-Time Packet Loss Concealment in Networked Music Performance Applications”, Personal and Ubiquitous Computing, volume 28, pages 727-743, 2024

2023

  • Luca Comanducci, Davide Gioiosa, Massimiliano Zanoni, Fabio Antonacci, Augusto Sarti. Variational Autoencoders for chord sequence generation conditioned on Western harmonic music complexity. EURASIP Journal on Audio, Speech, and Music Processing. 2023, 24 (2023). https://doi.org/10.1186/s13636-023-00288-5
  • Alessandro Ilic Mezza, Massimiliano Zanoni, Augusto Sarti. A latent rhythm complexity model for attribute-controlled drum pattern generation. EURASIP Journal on Audio, Speech, and Music Processing. 2023, 11 (2023). https://doi.org/10.1186/s13636-022-00267-2
  • Leonardo Severi, Antonio Cuccarese, Andrea Bianco and Cristina Rottondi, “Assessment of Recovery Journal-based Packet Loss Concealment Techniques for Low Latency MIDI Streaming”, Journal of the Audio Engineering Society, Volume 71, Issue 12, pp. 873-886, December 2023
  • Luca Turchet, Mathieu Lagrange,Cristina Rottondi, Gyorgy Fazekas, Nils Peters, Jan Ostergaard, Frederic Font, Tom Backstrom, and Carlo Fischione, “The Internet of Sounds: Convergent Trends, Insights and Future Directions”, IEEE Internet of Things Journal, Volume 10, Issue 13, pp. 11264-11292, July 2023
  • Luca Turchet and Cristina Rottondi, “On the relation between the fields of Networked Music Performances, Ubiquitous Music, and Internet of Musical Things”, Personal and Ubiquitous Computing, Volume 27, pp. 1783-1792, 2023

2022

  • Katerina El Raheb, Michele Buccoli, Massimiliano Zanoni, Akrivi Katifori, Aristotelis Kasomoulis, Augusto Sarti, Yannis Ioannidis – Towards a general framework for the annotation of dance motion sequences a framework and toolkit for collecting movement descriptions as ground-truth datasets. Springer Multimedia Tools and Applications, Volume 82, Issue 3, Pages 3363 – 3395, https://doi.org/10.1007/s11042-022-12602-y, 2022.
  • Matteo Sacchetto, Paolo Gastaldi, Chris Chafe, Cristina Rottondi, Antonio Servetti, “Web-Based Networked Music Performances via WebRTC: a Low-Latency PCM Audio Solution”, Journal of the Audio Engineering Society, Volume 70. Issue 11, pp. 926-937, 2022

2021

  • Marco Olivieri, Raffaele Malvermi, Mirco Pezzoli, Massimiliano Zanoni, Sebastian Gonzalez, Fabio Antonacci, Augusto Sarti, Audio Information Retrieval and Musical Acoustics. IEEE Instrumentation & Measurement Magazine, vol. 24, no. 7, pp. 10-20, October 2021, doi: 10.1109/MIM.2021.9549233
  • Marina Bosi, Antonio Servetti, Chris Chafe, Cristina Rottondi, “Experiencing Remote Classical Music Performance Over Long Distance: a JackTrip Concert Between Two Continents during the Pandemic”, Journal of the Audio Engineering Society, Volume 69, Issue 12, pp. 934-945, Dec. 2021

2020

  • Marco Masoero, Cristina Rottondi, Antonio Servetti and Louena Shtrepi, “Music and technology: a virtuous relationship”, Atti e Rassegna Tecnica della Società degli Ingegneri e degli Aarchitetti in Torino Year 153 – LXXIV – Number 1, June 2020

2019

  • Stefano Delle Monache, Luca Comanducci, Michele Buccoli, Massimiliano Zanoni, Augusto Sarti, Enrico Pietrocola, Filippo Berbenni, Giovanni Cospito, A Presence- and Performance-Driven Framework to Investigate Interactive Networked Music Learning Scenarios. Hindawi Wireless Communications and Mobile Computing vol. 2019, issue. 2019, 20 pages, 2019, doi.org/10.1155/2019/4593853
  • Rosemary E. Cisneros, Karen Wood , Sarah Whatley, Michele Buccoli, Massimiliano Zanoni, Augusto Sarti, Virtual Reality and Choreographic Practice: The Potential for New Creative Methods. Body, Space & Technology, vol. 18(1), pp. 1–32, 2019. DOI: https://doi.org/10.16995/bst.305

2017

  • Bruno Di Giorgi, Simon Dixon, Massimiliano Zanoni, Augusto Sarti, A data-driven model of tonal chord sequence complexity, IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 25, no. 11, pp. 2237-2250, Nov. 2017, DOI: 10.1109/TASLP.2017.2756443
  • Francesco Setragno, Massimiliano Zanoni, Augusto Sarti, Marco Malagodi, Tommaso Rovetta, Claudia Invernizzi, Feature-Based Analysis of the Impact of Ground Coat and Varnish on Violin Tone Qualities, Acta Acustica united with Acustica, vol.103, No. 1, pp. 1 – 80-93. January/February 2017. DOI:10.3813/AAA.919035

2016

  • Bruno Di Giorgi, Massimiliano Zanoni, Sebastian Böck, Augusto Sarti, Multipath Beat Tracking, in Special Issue on Intelligent Audio Processing, Semantics, and Interaction, Journal of the Audio Engineering Society, vol.64, no.7/8, pp.493-502, 2016. https://aes2.org/publications/elibrary-page/?id=18335
  • Cristina Rottondi, Chris Chafe, Claudio Allocchio and Augusto Sarti, “An Overview on Networked Music Performance Technologies”, IEEE Access Volume 4, pp. 8823-8843, 2016

2015

  • Cristina Rottondi, Michele Buccoli, Massimiliano Zanoni, Dario Garao, Giacomo Verticale, Augusto Sarti, Feature-Based Analysis of the Effects of Packet Delay on Networked Musical Interactions, Journal of the Audio Engineering Society, vol.63, no.11, pp.864-875, 2015. DOI: 10.17743/jaes.2015.0074
  • Cristina Rottondi, Michele Buccoli, Massimiliano Zanoni, Dario Garao, Giacomo Verticale, and Augusto Sarti, “Analysis of the Effects of Packet Delay on Networked Musical Interactions”, Journal of the Audio Engineering Society, Volume 63, Issue 11, pp. 864-875, Nov. 2015

Main Conferences

2025

  • Luca Turchet, Alberto Boem, Omran Ayoub, Francesco Malandrino, Jaime Llorca, Carlo Fischione and Cristina Rottondi, “Towards a Networking Architecture for the Musical Metaverse” The MUSMET Vision”, IEEE International Symposium on the Internet of Sounds, L’Aquila,Italy, October 29-31, 2025
  • Claudia Rinaldi, Krishnendu Sankunni Tharakan, Luca Turchet, Cristina Rottondi, Carlo Centofanti and Carlo Fischione, “Architecting the Musical Metaverse: Lessons from 5G and Emerging Technologies”, IEEE International Symposium on the Internet of Sounds, L’Aquila, Italy, October 29-31, 2025
  • Emilie Ophelie Vieux, Pietro Buccellato, Leonardo Severi, Matteo Sacchetto and Cristina Rottondi, “Designing Haptic Feedback Stimuli to Convey Gestures of an Orchestra Conductor to Visually-Impaired Musicians”, IEEE International Symposium on the Internet of Sounds, L’Aquila, Italy, October 29-31, 2025
  • Pietro Buccellato and Cristina Rottondi, “Toward Multimodal Audio Interfaces in Educational Music Production: A Microcontroller-Based Embedded System with Voice and Facial Control”, IEEE International Symposium on the Internet of Sounds, L’Aquila, Italy, October 29-31, 2025
  • Leonardo Severi and Cristina Rottondi “Sparse Linear Prediction for Packet Loss Concealment in Networked Music Performances”, IEEE International Symposium on the Internet of Sounds, L’Aquila, Italy, October 29-31, 2025
  • Ali Al Housseini, Jaime Llorca, Luca Turchet, Tiziano Leidi, Cristina Rottondi and Omran Ayoub, “MuMeNet: A Network Simulator for Musical Metaverse Communications”, IEEE International Symposium on the Internet of Sounds, L’Aquila, Italy, October 29-31, 2025
  • Sandra Dorfer, Pietro Buccellato, Kevin Schuh, Dibya Chowdhury, Cristina Rottondi and Eugenijus Kaniusas, “Respiration-Driven Closed-Loop Modulation of Binaural Beats”, 15th Vienna InternationalWorkshop on Functional Electrical Stimulation, Vienna, Austria, September 15-18, 2025
  • Noemi Mauri, Matteo Sacchetto, Piera Bagnus, Chiara Nicora, Massimiliano Zanoni, Andrea Bianco, Cristina Rottondi, “Enhancing Music Visualization with Haptic Feedback to Ease Perception for DHH Listeners”, Forum Acusticum Euronoise, Malaga, Spain, June 23-26, 2025
  • Kousha Nikkar, Matteo Sacchetto, Cristina Rottondi “Mapping the Neighborhood of Microtonal Music Scales Using Self-Organizing Maps”, AudioMostly 2025, Coimbra, Portugal, 30 June – 4 July 2025
  • AlessandroIlic Mezza, Luca Comanducci, Gabriele Maucione, Massimiliano Zanoni, Beyond Binary Patterns: A Preliminary Study on the Effect of Dynamic Accents on Rhythm Complexity, 26th International Society for Music Information Retrieval Conference, Daejeon, Korea, Sep 21-25, 2025

2024

  • Leonardo Severi, Matteo Sacchetto, Andrea Bianco, Cristina Rottondi, “Introducing DUST: a Dataset of real-time UDP Sound packet Traces”, 1st IEEE International Workshop on the Musical Metaverse co-located with 5th IEEE International Symposium on the Internet of Sounds, Erlangen, Germany, September 30-October 2, 2024
  • Leonardo Severi, Matteo Sacchetto, Andrea Bianco, Cristina Rottondi, Gabriele Abbate, Antonio Paolillo, Alessandro Giusti, “Remote Orchestral Conduction via a Virtual Reality System”, 1st IEEE International Workshop on the Musical Metaverse co-located with 5th IEEE International Symposium on the Internet of Sounds, Erlangen, Germany, September 30-October 2, 2024

2023

  • Matteo Sacchetto, Maria Sang¨uesa, Piera Bagnus, Chiara Nicora, and Cristina Rottondi, “Collection of Design Directions for the Realization of a Visual Interface with Haptic Feedback to Convey the Notion of Sonic Grain to DHH Students”, 4th International Symposium on the Internet of Sounds, Pisa, Italy, October 26 – 27, 2023
  • Diego Bert, Nicola Domini, Riccardo Peloso, Leonardo Severi, Matteo Sacchetto, Andrea Bianco, and Cristina Rottondi, “FPGA-based Low-Latency Audio Coprocessor for Networked Music Performance”, 4th International Symposium on the Internet of Sounds, Pisa, Italy, October 26-27, 2023
  • Matteo Sacchetto, Leonardo Severi, Cristina Rottondi, Louena Shtrepi, Marco Masoero, Carlo Barbagallo, Andrea Valle, Antonio Servetti, “Pristine Quality Networked Music Performance System for theWeb”, Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023, Turin, Italy, September 11-15, 2023

2022

  • Matteo Sacchetto, Cristina Rottondi, Antonio Servetti, Louena Shrtrepi, Marco Masoero, Andrea Valle, “HiFiReM: un approccio unificato, web e nativo, per la didattica musicale remota”, XXIII CIM 2022, Colloquium of Musical Informatics Ancona, Italy, October 25-28 2022
  • Matteo Sacchetto, Yuen Huang, Andrea Bianco and Cristina Rottondi, “Using Autoregressive Models for Real-Time Packet Loss Concealment in Networked Music Performance Applications”, Audio Mostly 2022 – a conference on interaction with sound, St. Poelten, Austria, September 6-9 2022

2021

2020

  • Prateek Verma, Alessandro Ilic Mezza, Chris Chafe, Cristina Rottondi, “A Deep Learning Approach for Low-Latency Packet Loss Concealment of Audio Signals in Networked Music Performance Applications”, in 27th IEEE Conference of the Open Innovations Association FRUCT, virtual conference, September 7-9, 2020