8โ€“12 Sept 2026
Europe/Vienna timezone

Session

A17.04/A24.07 Spatial Audio Signal Processing

A17.04/A24.07
11 Sept 2026, 09:00

Conveners

A17.04/A24.07 Spatial Audio Signal Processing: P486

  • Antonio Figueroa-Duran (Universidad Politรฉcnica de Madrid)
  • Franz Zotter (University of Music and Performing Arts)
  • Jung-Woo Choi (KAIST)
  • Jens Ahrens (Chalmers University of Technology)
  • Orchisama Das

A17.04/A24.07 Spatial Audio Signal Processing: S123

  • Antonio Figueroa-Duran (Universidad Politรฉcnica de Madrid)
  • Franz Zotter (University of Music and Performing Arts)
  • Jung-Woo Choi (KAIST)
  • Jens Ahrens (Chalmers University of Technology)
  • Orchisama Das

A17.04/A24.07 Spatial Audio Signal Processing: S400

  • Antonio Figueroa-Duran (Universidad Politรฉcnica de Madrid)
  • Jung-Woo Choi (KAIST)
  • Franz Zotter (University of Music and Performing Arts)
  • Jens Ahrens (Chalmers University of Technology)
  • Orchisama Das

A17.04/A24.07 Spatial Audio Signal Processing: S401

  • Orchisama Das
  • Franz Zotter (University of Music and Performing Arts)
  • Jens Ahrens (Chalmers University of Technology)
  • Antonio Figueroa-Duran (Universidad Politรฉcnica de Madrid)
  • Jung-Woo Choi (KAIST)

Presentation materials

There are no materials yet.

  1. Hector Teyssier (STMS Lab, IRCAM, Sorbonne Universitรฉ)
    11/09/2026, 09:00
    A17 Signal Processing

    Sound spatializationย techniquesย have proved effective for voice reinforcement in theaters, as they enable the synthesis of virtual sourcesย that areย co-located withย theย real sources on stage, thereby preserving the spatial coherence of the scene. However,ย in the case ofย wide front-fill arrays and off-center source positions,ย this approach generallyย concentratesย theย energy toward theย side of...

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  2. Frank Schultz (University of Rostock)
    11/09/2026, 09:00
    A17 Signal Processing

    For a certain mode in spherical wave field expansions, a radial filter characterises the radially dependent diffraction phenomenon due to a spherical obstacle. Recently, a band-limited impulse invariance method (BLIIM) was proposed. It allows a more precise design of discrete-time filters for improved numerical simulations of such diffraction phenomena. However, for frequencies close to the...

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  3. Roman Kiyan (IKT - Leibniz Universitรคt Hannover)
    11/09/2026, 09:00
    A17 Signal Processing

    Acoustic features derived from binaural and spherical harmonic representations of a sound field can be used for objective analysis of sound field properties as well as for perceptual modeling. When a sound field with a particular spatial extent is considered, such as in multichannel loudspeaker reproduction, the position-dependent variation of sound field features may be used to define a sweet...

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  4. Younghoo Kwon (KAIST)
    11/09/2026, 09:00
    A17 Signal Processing

    The spatial semantic segmentation task focuses on separating and classifying sound objects from multichannel signals. To achieve two different goals, conventional methods fine-tune a large classification model cascaded with the separation model and inject classified labels as separation clues for the next iteration step. However, such integration is not ideal, as fine-tuning over a smaller...

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  5. Leon Kaiser (University of Music and Performing Arts)
    11/09/2026, 09:20
    A17 Signal Processing

    Rendering diffuse sound fields of late reverberation with computational efficiency and accurate spatial impression is a challenging task. This paper introduces spatialized velvet-noise, a framework that efficiently generates a decorrelated sound field from a single monaural reverberation in real time. The method utilizes a single velvet-noise sequence that is distributed spatially. The...

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  6. Yuqing Li (Medizinische Physik, Universitรคt Oldenburg)
    11/09/2026, 09:40
    A17 Signal Processing

    Accurate binaural rendering of nearby sound sources is key for perceptual plausibility and reliable distance cues in virtual acoustics environments. Achieving this requires modeling of near-field effects, which exhibit a complex dependence on source distance and incidence angle. These effects can be introduced into measured or simulated far-field head-related transfer functions (HRTFs) by...

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  7. Yasen Velchev (University of Music and Performing Arts)
    11/09/2026, 10:00
    A17 Signal Processing

    In virtual and augmented reality (VR/AR), spatial audio rendering often relies on limited-order spherical-harmonic (SH) representations. While SH truncation in head-related transfer functions (HRTFs) is known to introduce high-frequency phase errors that degrade perceptual quality, analogous issues for loudspeaker directivity have received less attention. This work investigates preprocessing...

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  8. Hao Jiang (Princeton University)
    11/09/2026, 10:40
    A17 Signal Processing

    This paper presents the Binaural Spatially Adaptive Neural Network (BSANN), a spatially adaptive neural signal-processing framework for loudspeaker-based binaural rendering in personal sound zones (PSZs). BSANN generates ear-wise stereo loudspeaker filters directly from listener coordinates, enabling position-dependent updates without per-pose matrix inversions and independent control of the...

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  9. Francesco Veronesi (University of Southampton)
    11/09/2026, 11:00
    A17 Signal Processing

    This work presents a formulation for predicting Crosstalk Cancellation (CTC) performance in the presence of stochastic additive perturbations to the plant matrix. The reproduction of binaural signals over loudspeakers using CTC is highly sensitive to plant modelling errors, arising from simplified models (e.g., neglecting loudspeaker directivity or head scattering) as well as unpredictable...

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  10. Filippo Maria Fazi (Institute of Sound and Vibration Research)
    11/09/2026, 11:20
    A17 Signal Processing

    Radial filters are required to transform the spherical harmonic coefficients of the pressure measured by a rigid-sphere microphone array into those of the plane-wave density representation of the measured sound field. Ideal radial filters exhibit poles at the origin, resulting in strong low-frequency amplification and numerical instability. To address this issue, regularization schemes are...

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  11. Jens Ahrens (Chalmers University of Technology)
    11/09/2026, 11:40
    A17 Signal Processing

    Cardioid equatorial microphone arrays are baffleless ambisonic capture devices that use outward facing cardioid microphones arranged on a circle. The microphone mounts are straightforward to manufacture, and the compact form factor produces minimal visual disturbance. But low-cost cardioid microphones with low mismatch are not always readily available. We present an implementation that uses...

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  12. Nara Hahn (Institute of Sound and Vibration Research)
    11/09/2026, 14:20
    A17 Signal Processing

    Spatial sound capture using rigid spherical microphone arrays typically involves radial filtering in the spherical harmonic domain to compensate for scattering effects caused by the rigid sphere. Due to the ill-conditioned nature of this inverse filtering problem, regularisation is indispensable for stabilising the filters, particularly at low frequencies and high spherical harmonic orders....

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  13. Thomas Rรถck (University of Music and Performing Arts)
    11/09/2026, 14:40
    A17 Signal Processing

    Not all reflections in measured Ambisonic room impulse responses (ARIRs) arrive in distinct time intervals. In principle, compact spherical microphone arrays for higher-order Ambisonic recordings enable the decomposition of coincident reflections.However, existing approaches for directionally decomposing and upmixing higher-order ARIRs resolve fewer coincident reflections than the (๐‘+1)ยฒ...

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  14. Rahul Roy Chowdhury (Imperial College London)
    11/09/2026, 15:00
    A17 Signal Processing

    Convincing auralisation in extended reality (XR) relies less on physical accuracy and more on perceptual plausibility, where a listener perceives a simulation as equivalent to a real acoustic event. Room impulse response (RIR) synthesis has been widely investigated, yet the relationship between numerical accuracy and perceptual plausibility remains comparatively underexplored, particularly...

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  15. Konstantin Fontaine (Technische Universitรคt Berlin)
    11/09/2026, 15:20
    A17 Signal Processing

    Adaptive beamforming in the spherical harmonics (SH) domain is widely used for spatial filtering and is often formulated as a minimum variance optimization, which suppresses interfering components based on directional energy. Perceptual disturbance, however, is not determined by energy alone but also depends on spectral and temporal characteristics, leading to situations in which energetically...

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