EVERTims

Poirier-Quinot, David; Noisternig, Markus; Katz, Brian F. G.

doi:10.1145/3123514.3123559

Cited by 10 publications

(5 citation statements)

References 4 publications

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“…A JavaScript-based ISM has been developed for use with the Reflections module in conjunction with an established FDN object from Spat. An alternative could be the EVER-Tims [15] auralization engine implemented in Spat, which also provides an ISM in conjunction with an FDN, but is an unfinished prototype.…”

Section: Reflectionsmentioning

confidence: 99%

Modular Room Simulation for the IVES 3D Engine

Dziwis,

Lübeck,

Pörschmann

2024

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

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IVES (Interactive Virtual Environment System) is a modular open-source 3D engine for creating virtual worlds in the Max programming environment. It is intended both for artists to create 3D audiovisual compositions and for researchers to use as a basis for prototyping new algorithms or experimental setups. IVES is based on Max's OpenGL implementation Jitter and IRCAM's spatial audio library Spat. This paper presents the latest development, a room simulation for IVES's parametric rendering. It consists of Spat's Feedback-Delay Network (FDN) for late reflections, accompanied by an Image-Source Model (ISM) module for early reflections and a generator for designing rooms. Here, the geometric parameters of the desired rooms are determined, and material properties are assigned to reflective surfaces. This results in parameters for reflective surfaces, filters, and attenuation for the ISM module and frequency band-specific RT 60 times for the reverberation module using the FDN. The mirror image sources generated by the ISM are fed into the subsequent parametric rendering chain as additional sound sources, and late reverberation from the FDN reverberation module is added to the encoded sound field as spherical harmonic coefficients. We describe the underlying concept and technical implementation, and the possibilities resulting from the open and modular implementation.

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Section: Reflectionsmentioning

confidence: 99%

Modular Room Simulation for the IVES 3D Engine

Dziwis,

Lübeck,

Pörschmann

2024

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

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“…A specular reflection parameter value of 1.0 would have a high intensity, and the angle of incidence would be reflected in a single outgoing direction. Surface roughness and metallic values of 0 would represent a glossy object that is not metallic [63,64]. It should be noted that no spectral reflectance metrics were calculated from the TLS point cloud, so these color metrics were primarily used for visualization and not used to generate predictor variables as input to the modeling workflow.…”

Section: Synthetic Plot Generationmentioning

confidence: 99%

Synthetic Forest Stands and Point Clouds for Model Selection and Feature Space Comparison

Bester,

Maxwell,

Nealey

et al. 2023

Remote Sensing

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The challenges inherent in field validation data, and real-world light detection and ranging (lidar) collections make it difficult to assess the best algorithms for using lidar to characterize forest stand volume. Here, we demonstrate the use of synthetic forest stands and simulated terrestrial laser scanning (TLS) for the purpose of evaluating which machine learning algorithms, scanning configurations, and feature spaces can best characterize forest stand volume. The random forest (RF) and support vector machine (SVM) algorithms generally outperformed k-nearest neighbor (kNN) for estimating plot-level vegetation volume regardless of the input feature space or number of scans. Also, the measures designed to characterize occlusion using spherical voxels generally provided higher predictive performance than measures that characterized the vertical distribution of returns using summary statistics by height bins. Given the difficulty of collecting a large number of scans to train models, and of collecting accurate and consistent field validation data, we argue that synthetic data offer an important means to parameterize models and determine appropriate sampling strategies.

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“…Virtual reality (VR) gear, such as headsets and controllers, is the basis for visual experience and user interfaces, enabling accurate tracking and spatial awareness [3]. Whereases, software such as gaming platforms and programming software, supplies features for developing the simulated environment, incorporating spatial audio, and facilitating user interaction [10], [11]. Moreover, attaining a fully immersive experience for users in the acoustic virtual world is highly dependent on accurate sound localization, in which a user's ability to accurately recognise the direction of the sound and their corresponding responses is crucial as it determines how specific acoustic design features influence the general auditory experience.…”

Section: Introductionmentioning

confidence: 99%

A Conceptual Framework for Immersive Acoustic Auralisation: Investigating the Key Attributes

Khairul Anuar,

Sulaiman,

Che Din

et al. 2024

J. Phys.: Conf. Ser.

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In architectural acoustics, the assessment of sound propagation in interior and/or environmental conditions has now become progressively more prominent throughout the past few decades, as a response to the development of advanced prediction tools. Within the adaptation of virtual reality (VR) systems, it is necessary to considerably expedite the prediction and simulation software as well as to enable flexible and responsive data analysis during simulation and 3D audio sensory projection. To generate ideal immersion in a simulated virtual environment, the generated stimulus across all senses should therefore be coherent. Accordingly, in the domain of acoustic in virtual reality, the system sound simulation must be constructed efficiently in order to convey the auditory stimuli to the user in an appropriate manner. This necessitates the implementation of virtual reality system as an advanced prediction tool that can accurately anticipate and replicate realistic audio experiences. Therefore, this study explores the realm of acoustic virtual reality (AVR) through a critical review with the purpose of elucidating design attributes and determining factors in generating immersive acoustic VR experiences. In light of these findings, the aim of this paper is to develop a comprehensive conceptual framework that will serve as a beneficial guide and road map for future researchers and developers in the field.

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EVERTims

Cited by 10 publications

References 4 publications

Modular Room Simulation for the IVES 3D Engine

Modular Room Simulation for the IVES 3D Engine

Synthetic Forest Stands and Point Clouds for Model Selection and Feature Space Comparison

A Conceptual Framework for Immersive Acoustic Auralisation: Investigating the Key Attributes

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