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Applied Sciences
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Spatial Audio and Signal Processing
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Spatial Audio and Signal Processing

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Acoustics and Vibrations".

Deadline for manuscript submissions: closed (20 August 2023) | Viewed by 1498

Special Issue Editors

Prof. Dr. Wen Zhang

E-Mail Website
Guest Editor
Center of Intelligent Acoustics and Immersive Communications (CIAIC), School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China
Interests: spatial audio; active noise control; MIMO acoustic system
Prof. Dr. Thushara Abhayapala

E-Mail Website
Guest Editor
College of Engineering & Computer Science, Australian National University, Canberra, ACT 2601, Australia
Interests: acoustic signal processing; spatial audio; microphone arrays; signal processing

Special Issue Information

Dear Colleagues,

Spatial audio is one of the key technologies for achieving an immersive audio experience, which has a wide range of applications in the area of gaming, personal entertainment, telepresence, virtual and augmented reality, etc. Sound spatialization requires thinking about sound in three dimensions, including the source orientation, directivity, trajectories, and spatial characteristics of the environment (e.g., reverberation). This poses new challenges in the advancement of spatial audio and its signal processing to fulfill the aim of generating a natural or even enhanced experience. This Special Issue intends to present new ideas and results in spatial audio for modelling, capturing, processing and rendering auditory scenes.

Topics of interest include, but are not limited to:

  • Sound field analysis, synthesis and reconstruction.
  • Sound field modelling and interpolation.
  • Spatial audio coding and up-mixing.
  • Spherical array processing.
  • Binaural processing and HRTF individualization.
  • Source directivity modelling.
  • Personal audio.
  • Immersive audio for VR/AR.
  • Room compensation and calibration.
  • Reverberation modelling and artificial reverberation.

Prof. Dr. Wen Zhang
Prof. Dr. Thushara Abhayapala
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • spatial audio
  • 3D audio
  • immersive audio
  • sound field reproduction
  • binaural rendering
  • virtual and augmented reality
  • array processing
  • reverberation modelling
  • source directivity
  • artificial reverberation

Published Papers (1 paper)

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Research

21 pages, 1905 KiB  
Article
Particle-Velocity-Based Mixed-Source Sound Field Translation for Binaural Reproduction
by Huanyu Zuo, Lachlan I. Birnie, Prasanga N. Samarasinghe, Thushara D. Abhayapala and Vladimir Tourbabin
Appl. Sci. 2023, 13(11), 6449; https://doi.org/10.3390/app13116449 - 25 May 2023
Viewed by 1046
Abstract
Following the rise of virtual reality is a demand for sound field reproduction techniques that allow the user to interact and move within acoustic reproductions with six-degrees-of-freedom. To this end, a mixed-source model of near-field and far-field virtual sources has been introduced to [...] Read more.
Following the rise of virtual reality is a demand for sound field reproduction techniques that allow the user to interact and move within acoustic reproductions with six-degrees-of-freedom. To this end, a mixed-source model of near-field and far-field virtual sources has been introduced to improve the performance of sound field translation in binaural reproductions of spatial audio recordings. The previous works, however, expand the sound field in terms of the mixed sources based on sound pressure. In this paper, we develop a new mixed-source expansion based on particle velocity, which contributes to more precise reconstruction of the interaural phase difference and, therefore, contributes to improved human perception of sound localization. We represent particle velocity over space using velocity coefficients in the spherical harmonic domain, and the driving signals of the virtual mixed-sources are estimated by constructing cost functions to optimize the velocity coefficients. Compared to the state-of-the-art method, sound-pressure-based mixed-source expansion, we show through numerical simulations that the proposed particle-velocity-based mixed-source expansion has better reconstruction performance in sparse solutions, allowing for sound field translation with better perceptual immersion over a larger space. Finally, we perceptually validate the proposed method through a Multiple Stimulus with Hidden Reference and Anchor (MUSHRA) experiment for a single source scenario. The experimental results support the better perceptual immersion of the proposed method. Full article
(This article belongs to the Special Issue Spatial Audio and Signal Processing)
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