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Call for papers - Signal Processing for the Internet of Sounds

Guest Editors

Luca Turchet, PhD, University of Trento, Italy
Nils Peters, PhD, Trinity College Dublin, Ireland
Toon van Waterschoot, PhD, Audio Engineering Lab, KU Leuven, Belgium
Tuomas Virtanen, PhD, Tampere University, Finland

Submission Status: Open   |   Submission Deadline: 11 June 2025


EURASIP Journal on Audio, Speech, and Music Processing is calling for submissions to our Collection on Signal Processing for the Internet of Sounds. In recent years there has been an increasing interest in academia and industry about topics at the confluence of Internet of Things and Sound and Music Computing. This has led to the emergence of the interdisciplinary field of the Internet of Sounds (IoS), which can be seen as the union of two paradigms: the Internet of Musical Things and the Internet of Audio Things. These respectively address musical and non-musical domains in networked contexts. This Special Issue aims to present high-quality original research reporting the current state of the art of IoS systems with a particular focus on the signal processing aspects involved, both in real-time and offline scenarios. We are interested in submissions covering different aspects related to the use of sound and music processing in relation to local or remote networks, as well as embedded, cloud-based and edge-based systems. 

Topics of interest include, but are not limited to the following areas:
• Detection and classification of sounds in acoustic sensor networks
•Signal processing and enhancement in acoustic sensor and transducer networks
• Packet loss concealment methods
• Embedded audio processing
• Distributed audio processing
• Spatial audio systems for the Internet of Sounds
• Web Audio systems for the Internet of Sounds
• Networked music performance systems
• Cloud-based services for musical and audio applications
• Sonification for Internet of Sounds applications
• Intelligent music production in Internet of Musical Things contexts
• Ecoacoustics
• Smart Musical Instruments
• Energy-efficient methods for a sustainable Internet of Sounds
• Privacy and security in acoustic sensor networks
• Protocols and exchange formats for the Internet of Sounds
• Open audio databases for Deep Learning and Data Mining in the Internet of Sounds

Meet the Guest Editors

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Luca Turchet, PhD, University of Trento, Italy

Luca Turchet is an Associate Professor at the Department of Information Engineering and Computer Science of University of Trento, where he leads the Creative, Intelligent and Multisensory Interactions Laboratory and is coordinator of the Research and Teaching Laboratory “Multisensory Interactions”. He received master degrees (summa cum laude) in Computer Science from University of Verona, in classical guitar and composition from Music Conservatory of Verona, and in electronic music from the Royal College of Music of Stockholm. He received the Ph.D. in Media Technology from Aalborg University Copenhagen. His scientific, artistic, and entrepreneurial research has been supported by numerous grants from different funding agencies including the European Commission, the European Institute of Innovation and Technology, the European Space Agency, Italian Minister of University and Research, the Italian Minister of Foreign Affairs, and the Danish Research Council. He is the Chair of the IEEE Emerging Technology Initiative on the Internet of Sounds, and the founding president of the Internet of Sounds Research Network. He is co-founder of the company Elk Audio AB, which operates in the sector of Music Technology. He serves as an associate editor for IEEE Access and the Journal of the Audio Engineering Society, and he is co-editor of the book “Ubiquitous Music Ecologies”. He has served as a guest editor of special issues of IEEE Communications Magazine, Journal of the Audio Engineering Society, Personal and Ubiquitous Computing Journal, Frontiers in Virtual Reality, and Digital Creativity. He is the founder and General Chair of the International Symposium on the Internet of Sounds, and is Steering Committee Member of the Audio Mostly International Conference. He is board member of the Italian section of the Audio Engineering Society. He is the coordinator of the European Project MUSMET funded by the European Commission.

Nils Peters, PhD, Trinity College Dublin, Ireland

Nils Peters is an Assistant Professor for acoustics and signal processing at Trinity College Dublin. He was an Associate Professor at the International Audio Laboratories Erlangen, at the Faculty of Engineering of Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany, and a 3D Audio research lead at Qualcomm’s Multimedia R&D department in San Diego, USA. He holds a PhD in Music Technology from McGill University, Montreal, and a MSc. degree in Electrical and Audio Engineering from Graz University of Technology, Austria. He serves as the Co-Chair of the Technical Committee for Spatial Audio of the Audio Engineering Society, and as is a steering board member of the IEEE Emerging Technology Initiative on the Internet of Sounds.

Toon van Waterschoot, PhD, Audio Engineering Lab, KU Leuven, Belgium

Toon van Waterschoot received the MSc (2001) and PhD (2009) degrees in Electrical Engineering, both from KU Leuven, Belgium, where he is currently Professor and Campus Chair of the Group T Leuven - De Nayer Campus. His research interests are in signal processing, machine learning, and optimization, applied to acoustic signal enhancement, acoustic modeling, audio analysis, and audio reproduction. He has been the Scientific Coordinator of the FP7-PEOPLE Marie Curie Initial Training Network "Dereverberation and Reverberation of Audio, Music, and Speech (DREAMS)" and the PI of the H2020 ERC Consolidator Grant "The Spatial Dynamics of Room Acoustics (SONORA)", and is currently the Scientific Coordinator of the H2020 MSCA European Training Network "Service-Oriented, Ubiquitous, Network-Driven Sound (SOUNDS)", funded by the European Commission. He has been serving as an Associate Editor for the Journal of the Audio Engineering Society (AES) and for the EURASIP Journal on Audio, Music, and Speech Processing. He is a Member of the Board of Directors of the European Association for Signal Processing (EURASIP), Member of the EURASIP Technical Area Committee on Acoustic, Speech and Music Signal Processing, Founding Member of the European Acoustics Association (EAA) Technical Committee in Audio Signal Processing, and was previously a Member of the IEEE Audio and Acoustic Signal Processing Technical Committee (AASP-TC). He was the General Chair of the 60th AES International Conference in Leuven, Belgium (2016), and has been serving on the Organizing Committee of the European Conference on Computational Optimization (EUCCO 2016), the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA 2017), the European Signal Processing Conference (EUSIPCO 2020, 2021), and the International Workshop on Acoustic Signal Enhancement (IWAENC 2024). He is a member of EURASIP, IEEE, ASA, and AES.

Tuomas Virtanen, PhD, Tampere University, Finland

Tuomas Virtanen is Professor at Tampere University, Finland, where he is leading the Audio Research Group. He received the M.Sc. and Doctor of Science degrees in information technology from Tampere University of Technology in 2001 and 2006, respectively. He has also been working as a research associate at Cambridge University Engineering Department, UK. He is known for his pioneering work on computational acoustic scene analysis and sound source separation. His research interests include machine listening, computational content analysis of audio, and machine learning for audio. He has authored more than 200 scientific publications on the above topics, which have been cited more than 20000 times. He has received IEEE Signal Processing Society best paper awards multiple times, as well as many other best paper awards. He is an IEEE Fellow, IEEE Signal Processing Society Distinguished Lecturer 2024-2025, recipient of the ERC 2014 Starting Grant, and has been a member of the Audio and Acoustic Signal Processing Technical Committee of IEEE Signal Processing Society.

About the Collection

EURASIP Journal on Audio, Speech, and Music Processing is calling for submissions to our Collection on Signal Processing for the Internet of Sounds. In recent years there has been an increasing interest in academia and industry about topics at the confluence of Internet of Things and Sound and Music Computing. This has led to the emergence of the interdisciplinary field of the Internet of Sounds (IoS), which can be seen as the union of two paradigms: the Internet of Musical Things and the Internet of Audio Things. These respectively address musical and non-musical domains in networked contexts. This Special Issue aims to present high-quality original research reporting the current state of the art of IoS systems with a particular focus on the signal processing aspects involved, both in real-time and offline scenarios. We are interested in submissions covering different aspects related to the use of sound and music processing in relation to local or remote networks, as well as embedded, cloud-based and edge-based systems. 

Topics of interest include, but are not limited to the following areas:
• Detection and classification of sounds in acoustic sensor networks
•Signal processing and enhancement in acoustic sensor and transducer networks
• Packet loss concealment methods
• Embedded audio processing
• Distributed audio processing
• Spatial audio systems for the Internet of Sounds
• Web Audio systems for the Internet of Sounds
• Networked music performance systems
• Cloud-based services for musical and audio applications
• Sonification for Internet of Sounds applications
• Intelligent music production in Internet of Musical Things contexts
• Ecoacoustics
• Smart Musical Instruments
• Energy-efficient methods for a sustainable Internet of Sounds
• Privacy and security in acoustic sensor networks
• Protocols and exchange formats for the Internet of Sounds
• Open audio databases for Deep Learning and Data Mining in the Internet of Sounds


Image credit: © UASUMY/ stock.adobe.com

There are currently no articles in this collection.

Submission Guidelines

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This Collection welcomes submission of original Research Articles. Should you wish to submit a different article type, please read our submission guidelines to confirm that type is accepted by the journal. Articles for this Collection should be submitted via our submission system, EM (Editorial Manager).

When submitting your manuscript, please select the relevant collection "Signal Processing for the Internet of Sounds" as a response to the question “Are you submitting this manuscript to a Special Issue?” under the Additional Information section. Authors should also express their interest in the Collection in their cover letter.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Editors have competing interests is handled by another Editorial Board Member who has no competing interests.