Binaural Spatial Reproduction

Katz, Brian F. G.; Nicol, Rozenn

doi:10.1201/9780429429422-11

Cited by 10 publications

(10 citation statements)

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“…5, focusing on scores corresponding to each participant's best and worst HRTF match for both trajectories. Participants are consistent in their classification with regards to these extrema as previously observed [26,16,37]. Most participants were able to clearly distinguish between best and worst-match for both horizontal and median trajectories.…”

Section: Hrtf Classification Resultssupporting

confidence: 83%

Assessing the Impact of Head-Related Transfer Function Individualization on Task Performance: Case of a Virtual Reality Shooter Game

Poirier-Quinot¹,

Katz²

2020

J. Audio Eng. Soc.

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This paper presents the results of an extended experiment to assess the impact of individualized binaural rendering on player performance in an ecologically valid use context, specifically that of a VR "shooter game," as part of a larger project to characterize the impact of binaural rendering quality in various VR type applications. Participants played a simple game in which they were faced with successive targets approaching from random directions on a sphere. While audiovisual cues allowed for general target localization, only sections of the game that relied on audio cues were used for analysis. Two HRTF exposure protocols were used, comprising best and worst-match HRTFs from a "perceptually orthogonal" optimized set of HRTFs, during the course of six game sessions. Two groups performed the game sessions exclusively using either their best or worst-match HRTF. Two additional groups performed the game sessions alternating between best and worst-match HRTFs. Results suggest that HRTF quality had minimal general impact on in-game participant performance and improvement rate. However, performance for extreme elevation target positions was affected by the quality of HRTF matching. In addition, a subgroup of participants showed higher sensitivity to HRTF choice than others.

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Section: Hrtf Classification Resultssupporting

confidence: 83%

Assessing the Impact of Head-Related Transfer Function Individualization on Task Performance: Case of a Virtual Reality Shooter Game

Poirier-Quinot¹,

Katz²

2020

J. Audio Eng. Soc.

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“…The two commonly used QoE evaluation approaches, the “descriptive” and the “integrated” (Katz and Nicol, 2019 ) approaches, conform well with the observables in the QoE framework. The descriptive (or performance ) approach uses the verbal descriptions as QoE evaluation.…”

Section: The Existing Qoe Framework and Its Limitsmentioning

confidence: 72%

Listening Effort Informed Quality of Experience Evaluation

Sun

Hines

2022

Front. Psychol.

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Perceived quality of experience for speech listening is influenced by cognitive processing and can affect a listener's comprehension, engagement and responsiveness. Quality of Experience (QoE) is a paradigm used within the media technology community to assess media quality by linking quantifiable media parameters to perceived quality. The established QoE framework provides a general definition of QoE, categories of possible quality influencing factors, and an identified QoE formation pathway. These assist researchers to implement experiments and to evaluate perceived quality for any applications. The QoE formation pathways in the current framework do not attempt to capture cognitive effort effects and the standard experimental assessments of QoE minimize the influence from cognitive processes. The impact of cognitive processes and how they can be captured within the QoE framework have not been systematically studied by the QoE research community. This article reviews research from the fields of audiology and cognitive science regarding how cognitive processes influence the quality of listening experience. The cognitive listening mechanism theories are compared with the QoE formation mechanism in terms of the quality contributing factors, experience formation pathways, and measures for experience. The review prompts a proposal to integrate mechanisms from audiology and cognitive science into the existing QoE framework in order to properly account for cognitive load in speech listening. The article concludes with a discussion regarding how an extended framework could facilitate measurement of QoE in broader and more realistic application scenarios where cognitive effort is a material consideration.

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“…Similarity of corresponding ratings between successive experiment-round pairs was calculated using Pearson's correlation coefficient r. When r = 1, the ratings of two successive experiment rounds for a given trajectory and participant are fully correlated, while when r = 0 and r = −1, ratings are uncorrelated and negatively correlated, respectively. Ratings of the perceived quality of the trajectory rendering relative to the given reference path provides an implicit measure of the global spatial quality assessment of localization for each HRTF [42,43].…”

Section: Hrtf Rating Similarity Metricmentioning

confidence: 99%

Perceptual Impact on Localization Quality Evaluations of Common Pre-Processing for Non-Individual Head-Related Transfer Functions

Andreopoulou¹,

Katz²

2022

J. Audio Eng. Soc.

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This article investigates the impact of two commonly used Head-Related Transfer Function (HRTF) processing/modeling methods on the perceived spatial accuracy of binaural data by monitoring changes in user ratings of non-individualized HRTFs. The evaluated techniques are minimum-phase approximation and Infinite-Impulse Response (IIR) modeling. The study is based on the hypothesis that user-assessments should remain roughly unchanged, as long as the range of signal variations between processed and unprocessed (reference) HRTFs lies within ranges previously reported as perceptually insignificant. Objective assessments of the degree of spectral variations between reference and processed data, computed using the Spectral Distortion metric, showed no evident perceptually relevant variations in the minimum-phase data and spectral differences marginally exceeding the established thresholds for the IIR data, implying perceptual equivalence of spatial impression in the tested corpus. Nevertheless analysis of user responses in the perceptual study strongly indicated that variations introduced in the data by the tested methods of HRTF processing can lead to inversions in quality assessment, resulting in the perceptual rejection of HRTFs that were previously characterized in the ratings as the "most appropriate" or alternatively in the preference of datasets that were previously dismissed as "unfit." The effect appears more apparent for IIR processing and is equally evident across the evaluated horizontal and median planes.

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Binaural Spatial Reproduction

Cited by 10 publications

References 0 publications

Assessing the Impact of Head-Related Transfer Function Individualization on Task Performance: Case of a Virtual Reality Shooter Game

Assessing the Impact of Head-Related Transfer Function Individualization on Task Performance: Case of a Virtual Reality Shooter Game

Listening Effort Informed Quality of Experience Evaluation

Perceptual Impact on Localization Quality Evaluations of Common Pre-Processing for Non-Individual Head-Related Transfer Functions

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