Spatial audio is one of the enabling technologies for the development of immersive applications, including the creation of enhanced entertainment experiences, gaming, telepresence or virtual and augmented reality. Spatial audio includes a wide range of techniques for capturing, processing and rendering auditory scenes, covering diverse but complementary aspects of audio signal processing.
The irruption of deep learning methods in the last years has created a turning point in many areas of digital signal processing. In this context, many interesting approaches have appeared to solve classic signal processing problems by using data-based methods and artificial intelligence. Following such trend, this special issue aims at promoting research on data-based and learning methods for spatial audio acquisition, processing and reproduction over headphones or loudspeaker systems. The broadness of spatial audio research creates many opportunities as well as challenges to be addressed, including the appropriate use of data to create, train and deploy new techniques for generating, transforming, analyzing and rendering multi-channel recordings.
Topics of interest include but are not limited to:
- Generative and data-based synthesis of immersive audio.
- Sound field analysis, synthesis and reconstruction.
- Spatial audio coding and up-mixing.
- Spherical array processing.
- Binaural processing and HRTF individualization.
- Personal audio.
- Immersive audio for VR.
- Room compensation and array calibration.
- Intelligent/Interactive object rendering.
- Multi-channel source separation for spatial re-mixing.
- Multi-channel reverberation modeling and dereverberation.
- Context-aware immersive audio processing and applications.
- Multi-modal processing with applications to spatial audio.
Submission InstructionsBefore submitting your manuscript, please ensure you have carefully read the submission guidelines for EURASIP Journal on Audio, Speech, and Music Processing. The complete manuscript should be submitted through the EURASIP Journal on Audio, Speech, and Music Processing submission system. To ensure that you submit to the correct special issue please select the appropriate special issue in the drop-down menu upon submission. In addition, indicate within your cover letter that you wish your manuscript to be considered as part of the special issue on Data-Based Spatial Audio Processing. All submissions will undergo rigorous peer review and accepted articles will be published within the journal as a collection.
Deadline for submissions: 15 June 2021
Lead Guest Editor
Maximo Cobos, Universitat de València, Spain
Jens Ahrens, Chalmers University of Technology, Gothenburg, Sweeden
Konrad Kowalczyk, AGH University of Science and Technology, Krakow, Poland
Archontis Politis, University of Tampere, Finland
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