AES Europe 2026

We present Binaspect, an open-source Python library for
binaural audio analysis, visualization,; feature
generation. Binaspect generates interpretable “azimuth
maps” by calculating modified interaural time; level
difference spectrograms,; clustering those
time-frequency (TF) bins into stable time-azimuth histogram
representations. This allows multiple active sources to
appear as distinct azimuthal clusters, while degradations
manifest as broadened, diffused, or shifted distributions.
Crucially, Binaspect operates blindly on audio, requiring
no prior knowledge of head models. These visualizations
enable researchers; engineers to observe how binaural
cues are degraded by codec; renderer design choices,
among other downstream processes. We demonstrate the tool
on bitrate ladders, ambisonic rendering,; VBAP source
positioning, where degradations are clearly revealed. In
addition to their diagnostic value, the proposed
representations can be exported as structured features
suitable for training machine learning models in quality
prediction, spatial audio classification,; other
binaural tasks. Binaspect is released under an open-source
license with full reproducibility scripts at: (link removed
for blind review)

Realistic spatial audio consistent with visual information
is essential for providing high immersion in Augmented
Reality (AR) environments. However, conventional
high-precision real-time acoustic simulations require
significant computational power, limiting their
implementation on standalone mobile VR devices such as the
Meta Quest. This study proposes a practical method to
enhance reverb realism using solely a standalone VR HMD,
without the need for additional external equipment. By
measuring impulse responses using a few hand claps in the
physical space, we interpolate room acoustic
parameters—specifically RT60; early/late energy
ratios—to reflect the environment's unique characteristics.
These extracted parameters are then applied to the VR
engine's built-in reverb effects, enabling dynamic,
location-aware real-time rendering with minimal
computational load. The proposed method demonstrates that a
brief calibration period of 3 to 5 minutes yields
significantly improved realism compared to static reverb
templates, offering an efficient; practical spatial
audio solution for mobile
AR environments.

The recently finalized ISO international standard (IS) on
MPEG-I immersive audio enables interactive
six-degrees-of-freedom (6DoF) audio rendering for a
multitude of virtual-reality; augmented-reality (VR/AR)
acoustic scenarios; applications with comprehensive
modeling of room acoustics; intricate acoustic
phenomena, including e.g. occlusion, reflection,
transmission; diffraction caused by sound obstacles,
Doppler effect,; dynamic environment changes triggered
by user interactivity. This paper describes concept,
methodology; results of the final verification test of
this standard. In the verification test, the perceptual
quality of the renderer was assessed in an interactive
listening test using different in-; outdoor acoustic
scenes, testing the above-mentioned features of the
standard. More than 50 listeners participated in the test
distributed across six labs using the ITU‑R BS.2132 [1]
multi‑stimulus method on a 100‑point scale for three
conditions (IS, mid-; low anchor) in 10 VR scenes plus
two repetitions. The results of several anchor processing
configurations are presented. The selected mid; low
anchors have demonstrated stable quality across diverse
scenes with progressive timbre; spatial degradations.
The listening test results show a clear separation of the
conditions (IS > mid > low); the low anchor was stable
(around 16 points median value) while the mid anchor varied
by scene (around 47 points). The IS is rated with a median
of 84 points among all labs, which is the “excellent”
region of the scale. The individual scenes are rated
differently. The quartile range for some scenes can exhibit
20 points. The median value for the IS of the different
labs varied, some are a bit more critical than others.

The significance of individual versus generic HRTFs in
Virtual Audio can be difficult to ascertain given the
variety of scenarios; tasks related to the spatial
listening experience. Are we working on the most
significant 80% of the success or fine-tuning the last 5%
of the sound quality? When the VR users are blind it is
fair to assume that the quality of the spatial audio
becomes a critical; more important factor. This is the
challenge as we see it. In the present project, we will
investigate options for powerful game components relying on
spatialized sound, using effects that are natural for the
blind gamer. As a first step, we have implemented a test
platform, where different options for HRTFs will exist,;
where the on-boarding process shall reveal the optimal
solution for the given user. The test scenario is inspired
by a “classical” shooting down sound sources scenario,
where we will vary e.g. the task definition, success
criteria (hit zone, number of attempts; elapsed time) as
well as eavesdropping game internal parameters of more
complex nature (e.g. navigation trajectories). The results
will display the variation in normal seeing listeners;
produce normative data for later comparisons with blind
participants. The platform also includes options for simple
mirror-image room models,; standardized reverberation,
which will be used in later tests to learn, whether the
room acoustics may play a stronger role for the blind
gamers’ navigation; source identification, than for
normal seeing listeners.

This study investigates the relationship between the
robustness of crosstalk cancellation; the symmetry of
system configuration. Analytical results show that, when
the positions of the sound sources are fixed, increasing
asymmetry caused by deviations in the listener’s head
position or orientation leads to a reduction in system
robustness, whereas optimal performance is consistently
achieved in symmetric layouts. For asymmetric
configurations, we propose a method to optimize the axial
angles of the sound sources. This method leverages source
directivity patterns to adjust level differences along the
acoustic propagation paths, thereby improving system
robustness. Experiments confirm the effectiveness of the
proposed method in asymmetric crosstalk cancellation
systems, demonstrating enhanced robustness; yielding
higher binaural channel separation under slight listener
head movements.

This paper presents a comparative analysis of two immersive
recording techniques for classical music: the PCMA-3D
(Perspective Control Microphone Array); the Decca
Cuboid. While the Decca Cuboid relies primarily on
time-of-arrival differences to generate spatial
impressions, the PCMA-3D utilises intensity differences;
separates ambience from direct sound. A recording session
was conducted in a concert hall using a classical guitar
soloist; two distinct folk music ensembles to capture
performances simultaneously with both arrays. Subjective
evaluation was performed using a MUSHRA listening test with
18 participants, assessing parameters such as sensation of
space, localisation precision,; sound quality.
Statistical analysis reveals that while both systems
provide high-quality immersive experiences, the PCMA-3D
scored significantly higher in the sensation of space (p