Estimation of asymmetry in Head Related Transfer Functions

The individual Head-Related Transfer Functions (HRTFs) typically show large left-right ear differences. This work evaluates HRTF left-right differences by means of the rms measure called the Root Mean Square Difference (RMSD). The RMSD was calculated for HRTFs measured with the participation of a group of 15 subjects in our laboratory, for the HRTFs taken from the LISTEN database and for the acoustic manikin. The results showed that the RMSD varies in relation to the frequency and as expected is small for more symmetrical HRTFs at low frequencies (0.3÷1 kHz). For higher frequency bands (1÷5 kHz and above 5 kHz), the left-right differences are higher as an effect of the complex filtering caused by anatomical shape of the head and the pinnae. Results obtained for the subjects and for data taken from the LISTEN database were similar, whereas different for the acoustic manikin. This means that measurements with the use of the manikin cannot be considered as perfect average representation of the results obtained for people. The method and results of this study may be useful in assessing the symmetry of the HRTFs, and further analysis and improvement of how to considered the HRTFs individualization and personalization algorithms

Localization in elevation with non-individual head-related transfer functions: Comparing predictions of two auditory models

This paper explores the limits of human localization of sound sources when listening with non-individual Head-Related Transfer Functions (HRTFs), by simulating performances of a localization task in the mid-sagittal plane. Computational simulations are performed with the CIPIC HRTF database using two different auditory models which mimic human hearing processing from a functional point of view. Our methodology investigates the opportunity of using virtual experiments instead of time- and resource- demanding psychoacoustic tests, which could also lead to potentially unreliable results. Four different perceptual metrics were implemented in order to identify relevant differences between auditory models in a selection problem of best-available non-individual HRTFs. Results report a high correlation between the two models denoting an overall similar trend, however, we discuss discrepancies in the predictions which should be carefully considered for the applicability of our methodology to the HRTF selection problem

Do we need individual head-related transfer functions for vertical localization? the case study of a spectral notch distance metric

3This paper deals with the issue of individualizing the head-related transfer function (HRTF) rendering process for auditory elevation perception. Is it possible to find a nonindividual, personalized HRTF set that allows a listener to have an equally accurate localization performance than with his/her individual HRTFs? We propose a psychoacoustically motivated, anthropometry based mismatch function between HRTF pairs that exploits the close relation between the listener's pinna geometry and localization cues. This is evaluated using an auditory model that computes a mapping between HRTF spectra and perceived spatial locations. Results on a large number of subjects in the center for image processing and integrated computing (CIPIC) and acoustics research institute (ARI) HRTF databases suggest that there exists a nonindividual HRTF set, which allows a listener to have an equally accurate vertical localization than with individual HRTFs. Furthermore, we find the optimal parameterization of the proposed mismatch function, i.e., the one that best reflects the information given by the auditory model. Our findings show that the selection procedure yields statistically significant improvements with respect to dummy-head HRTFs or random HRTF selection, with potentially high impact from an applicative point of view.nonenoneGeronazzo M.; Spagnol S.; Avanzini F.Geronazzo, M.; Spagnol, S.; Avanzini, F

Do we need individual head-related transfer functions for vertical localization? : The case study of a spectral notch distance metric

This paper deals with the issue of individualizing the head-related transfer function (HRTF) rendering process for auditory elevation perception: is it possible to find a nonindividual, personalized HRTF set that allows a listener to have an equally accurate localization performance than with his/her individual HRTFs? We propose a psychoacoustically motivated, anthropometry based mismatch function between HRTF pairs, that exploits the close relation between the listener's pinna geometry and localization cues. This is evaluated using an auditory model that computes a mapping between HRTF spectra and perceived spatial locations. Results on a large number of subjects in the CIPIC and ARI HRTF databases suggest that there exists a non-individual HRTF set which allows a listener to have an equally accurate vertical localization than with individual HRTFs. Furthermore, we find the optimal parametrization of the proposed mismatch function, i.e. the one that best reflects the information given by the auditory model. Our findings show that the selection procedure yields statistically significant improvements with respect to dummy-head HRTFs or random HRTF selection, with potentially high impact from an applicative point of view

The Impact of an Accurate Vertical Localization with HRTFs on Short Explorations of Immersive Virtual Reality Scenarios

Achieving a full 3D auditory experience with head-related transfer functions (HRTFs) is still one of the main challenges of spatial audio rendering. HRTFs capture the listener's acoustic effects and personal perception, allowing immersion in virtual reality (VR) applications. This paper aims to investigate the connection between listener sensitivity in vertical localization cues and experienced presence, spatial audio quality, and attention. Two VR experiments with head-mounted display (HMD) and animated visual avatar are proposed: (i) a screening test aiming to evaluate the participants' localization performance with HRTFs for a non-visible spatialized audio source, and (ii) a 2 minute free exploration of a VR scene with five audiovisual sources in a both non-spatialized (2D stereo panning) and spatialized (free-field HRTF rendering) listening conditions. The screening test allows a distinction between good and bad localizers. The second one shows that no biases are introduced in the quality of the experience (QoE) due to different audio rendering methods; more interestingly, good localizers perceive a lower audio latency and they are less involved in the visual aspects

3D environmental sound field auralisation - feasibility, development and business case (redacted version)

Environmental noise auralisation has the potential to improve communication between acoustic consultants and clients, project stakeholders and the community. This audible demonstration of the future sound environment enables non-technical stakeholders to experience proposed changes to the project site and surroundings realistically. Through the development of an environmental noise auralisation tool, context analysis, stakeholder interviews, and a business case, this report establishes that using environmental noise auralisation for community consultation is possible. For Marshall Day Acoustics’ Christchurch office, there are potentially XXX projects per year that would use environmental noise auralisation. Auralisations are most accurate when presented in a controlled environment, so investment in a Listening Room would be necessary to provide this service to clients alongside further development of the prototype tool. Cash flow calculations for this investment incorporating XXX projects per year with a fixed fee of $XXX, estimated a 20-year net present value of$ XXX and a worst-case net present value of $XXX. The project has an estimated present value index of$ XXX, representing a $ XXX return per dollar invested. Considering this financial return and the project’s alignment with MDA’s strategy and capabilities, the development of the environmental noise auralisation tool and the Listening Room is recommended