Direct and Residual Subspace Decomposition of Spatial Room Impulse Responses

Deppisch, Thomas; Garí, Sebastià V. Amengual; Calamia, Paul; Ahrens, Jens

doi:10.1109/taslp.2023.3240657

Cited by 3 publications

(1 citation statement)

References 48 publications

(74 reference statements)

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“…In virtual and augmented reality (VR/AR) applications, where reproduction accuracy and six degrees of freedom (6DoF) scene navigation are important, new challenges arise for acoustic reproduction [15,16,17,18,19]. For sound field reproduction, a spherical microphone array (SMA) is typically used to measure spatial room impulse responses (SRIR), which can be used for reproduction using convolution [20], or spatial-time-frequency processing may be used to improve efficiency and accuracy of the reproduction [21,19].…”

Section: Introductionmentioning

confidence: 99%

A Dataset for Location- and Direction-Dependent Reverberation Analysis

Alary,

Politis

2022

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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Measuring room impulse responses (RIRs) is fundamental to sound reproduction and acoustical research. For instance, these measurements play an essential role in building digital twins in virtual reality to preserve their cultural heritage. For sound reproduction, RIRs can be used directly through convolution, or a more complex timefrequency domain analysis may be used to characterize a parametric method. Measuring RIRs using microphone arrays, such as a spherical microphone array, is necessary to extend this reproduction to the spatial domain. Recent work has shown that reverberant sound fields have perceptually salient position-and direction-dependent characteristics which should be considered in six degrees of freedom (6DoF) sound reproduction. However, related psychoacoustics and signal processing research require complex datasets to measure to better understand these characteristics. In this article, we present an experiment carried out in the main auditorium of the Finnish National Opera and Ballet in Helsinki, where we measured spatial RIRs from the perspective of ninety-seven individual seats. We analyze key characteristics of the resulting anisotropic and inhomogeneous sound field using energy-based analysis methods and the dataset is shared publicly to allow for further research in this field, such as multi-slope decay analysis and 6DoF auralization.

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Section: Introductionmentioning

confidence: 99%

A Dataset for Location- and Direction-Dependent Reverberation Analysis

Alary,

Politis

2022

Proceedings of the 10th Convention of the European Acoustics Association Forum Acusticum 2023

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A review of the state-of-the-art approaches in detecting time-of-flight in room impulse responses

Othmani,

Dokhanchi,

Merchel

et al. 2024

Sensors and Actuators A: Physical

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Blind Estimation of Spatial Room Impulse Responses Using a Pseudo Reference Signal

Deppisch,

Ahrens,

Amengual Garí

et al. 2024

2024 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)

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In auditory augmented reality applications, virtual sound sources can be added to a real-world acoustic environment by processing each source signal with a spatial room impulse response (SRIR) to render acoustic characteristics of the environment, and with a set of head-related transfer functions to create binaural headphone signals. The SRIR of a user's environment is typically unknown and needs to be estimated. We propose a method to estimate the SRIR blindly from speech signals captured with a microphone array. The blind estimation task is transformed into a non-blind one using a pseudo reference signal that is obtained from the array signals via dereverberation and beamforming. The SRIR is then estimated using a frequency-domain multichannel Wiener filter with the pseudo reference as the input and the array signals as the desired signals.In contrast to conventional methods, the proposed method is able to successfully estimate SRIRs of realistic lengths at a sampling rate that supports the entire audible frequency range. Results from 200 simulated and 16 measured SRIRs show that the estimates from the proposed method reproduce the reverberation time and the directto-reverberant energy ratio with low error, outperforming a baseline method that does not use dereverberation.

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Direct and Residual Subspace Decomposition of Spatial Room Impulse Responses

Cited by 3 publications

References 48 publications

A Dataset for Location- and Direction-Dependent Reverberation Analysis

A Dataset for Location- and Direction-Dependent Reverberation Analysis

A review of the state-of-the-art approaches in detecting time-of-flight in room impulse responses

Blind Estimation of Spatial Room Impulse Responses Using a Pseudo Reference Signal

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