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Call for Papers - Advancements in Sound Signal Processing Applications: Impact on Society and Digital Industry

Guest Editors

Antonio Jesús Muñoz-Montoro, PhD, Universidad de Jaén, Spain
Tuomas Virtanen, PhD, Tampere University, Finland
Mirco Pezzoli, PhD, Politecnico di Milano, Italy

Submission Status: Open   |   Submission Deadline: 14 March 2025


EURASIP Journal on Audio, Speech, and Music Processing is calling for papers on Advancements in Sound Signal Processing Applications: Impact on Society and Digital Industry. This is a collaboration with the International Workshop on Sound Signal Processing Applications (IWSSPA). IWSSPA is a satellite workshop for the well-established International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE). 

In recent years, the field of sound signal processing has experienced significant advances, driven by breakthroughs in cutting-edge technologies such as artificial intelligence, machine learning, and computational methods. Researchers around the world have used a variety of tools and techniques to achieve outstanding results in this dynamic field.

This special issue aims to provide a platform for showcasing the latest innovations in sound signal processing applications across a wide range of domains. We welcome submissions that explore novel approaches, methodologies, and technologies. Potential contributions may cover diverse areas such as audio analysis, speech recognition, music processing, and audio enhancement techniques, among others.

About the Collection

EURASIP Journal on Audio, Speech, and Music Processing is pleased to announce the launch of the special issue "Advancements in Sound Signal Processing Applications: Impact on Society and Digital Industry" in collaboration with the International Workshop on Sound Signal Processing Applications (IWSSPA). IWSSPA is a satellite workshop for the well-established International Conference on Computational and Mathematical Methods in Science and Engineering (CMMSE). 

In recent years, the field of sound signal processing has experienced significant advances, driven by breakthroughs in cutting-edge technologies such as artificial intelligence, machine learning, and computational methods. Researchers around the world have used a variety of tools and techniques to achieve outstanding results in this dynamic field.

This special issue aims to provide a platform for showcasing the latest innovations in sound signal processing applications across a wide range of domains. We welcome submissions that explore novel approaches, methodologies, and technologies. Potential contributions may cover diverse areas such as audio analysis, speech recognition, music processing, and audio enhancement techniques, among others.

List of topics of interest (but not limited to):

  • Audio analysis and processing
  • Speech recognition and synthesis
  • Music information retrieval
  • Audio enhancement techniques
  • Environmental sound analysis
  • Sound processing for virtual reality and augmented reality
  • Acoustic sensor networks
  • Audio coding and compression
  • Machine learning and deep learning approaches in sound signal processing
  • Computational methods for audio processing
  • Applications of sound signal processing in telecommunications, multimedia, healthcare, and entertainment industries
  • Impact of sound signal processing on society and the digital industry


Article publication will be continuously, i.e. articles are published into the special issue one at a time as soon as they are ready.


Image credit: © Aleksei / stock.adobe.com

Meet the Guest Editors

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Antonio Jesús Muñoz-Montoro, PhD, Universidad de Jaén, Spain

 Antonio Jesús Muñoz-Montoro is working as a teaching and research staff member in the Telematics area of the Telecommunication Engineering Department at the University of Jaén. He was awarded a Ph.D. with international mention and honours (cum laude) from the University of Jaén in 2020. His scientific activity focus on audio processing, especially musical and biomedical signals, and their applications. In terms of productivity, he is co-author of 30 scientific contributions in international journals and conferences. He has also actively participated in several national research projects, one European project, several research projects with companies and two educational innovation projects. Since 2017, he has been a member of the "Signal Processing and Telecommunication Systems" research group (TIC188) at the University of Jaén, and since 2021 he has been a member of the "Quantum and High-Performance Computing" research group at the University of Oviedo. In order to share his knowledge with other international research groups, he carried out part of his Ph.D. at the Audio Research Group (ARG) of the Tampere University of Technology (Finland), and completed postdoctoral stays at the Audio Analysis Lab of Aalborg University (Denmark), the Department of Mathematics, Computer Science and Physics of the University of Udine (Italy), and the Department of Electronics, Information and Bioengineering of the Politecnico di Milano (Italy), all of which are among the most active groups in his research area. He is a reviewer for the most important conferences and journals in the field of audio signal processing.

Tuomas Virtanen, PhD, Tampere University, Finland

Tuomas Virtanen received the M.Sc. and Doctor of Science degrees in information technology from the Tampere University of Technology, Tampere, Finland, in 2001 and 2006, respectively. He is currently a Professor with Tampere University, where he is leading the Audio Research Group. He is also Research Associate with Cambridge University Engineering Department, Cambridge, U.K. He is known for his pioneering work on single-channel sound source separation using non-negative matrix factorization based techniques, and their application to noise-robust speech recognition and music content analysis. He has done significant contributions to sound event detection in everyday environments. He has authored more than 200 scientific publications on the above topics, which have been cited more than 16000 times. His research interests include content analysis of audio signals in general and machine learning. He was the recipient of the IEEE Signal Processing Society 2012 Best Paper Award for his article Monaural Sound Source Separation by Nonnegative Matrix Factorization with Temporal Continuity and Sparseness Criteria and seven other best paper awards. He was also the recipient of the ERC 2014 Starting Grant. He is a Member of the Audio and Acoustic Signal Processing Technical Committee of IEEE Signal Processing Society.

Mirco Pezzoli, PhD, Politecnico di Milano, Italy

Mirco Pezzoli received the Ph.D. in Information Technology at Politecnico di Milano In 2021 with a research focused on the field of spatial audio, specializing in sound field reconstruction and extended audio reality. His work encompasses a diverse array of research areas, most notably the application of machine learning combined with classic model-based processing to analyze the acoustics of environments and musical instruments. In 2023 he joined the Departmento di Elettronica, Informazione e Bioingegneria as a junior assistant professor participating to the FUNMedia project within the Italian RESTART foundation, his research work is targeting novel solutions for networked music performances and immersive audio contents. Additionally, he participates to the REPERTORIUM HORIZON EU project, which has the ambitious goal of enabling the streaming of orchestra concerts with 6 Degrees of Freedom (6 DOFs) spatial audio. He is reviewer for several conferences and journals including IEEE Transaction on Audio Speech and Language Processing, IEEE Signal Processing Letters, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), The Journal of Acoustical Society of America and more. He participated to the organizing committee of ISMIR 2023 as co-chair of Virtual Technology, Social Media and Website.

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. During the submission process you will be asked whether you are submitting to a Collection, please select "Advancements in Sound Signal Processing Applications: Impact on Society and Digital Industry" from the dropdown menu.

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.