On the validity of virtual reality-based auditory experiments: a case study about ratings of the overall listening experience

Schoeffler, Michael; Gernert, Jan Lukas; Neumayer, Maximilian; Westphal, Susanne; Herre, Jürgen

doi:10.1007/s10055-015-0270-8

Cited by 18 publications

(8 citation statements)

References 46 publications

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“…Few studies used simulation-based auralizations presented via headphones and compared speech intelligibility in this setup with the one measured in the real rooms, e.g. [20,21,22], or overall listening experience [23]. One early study compared speech intelligibility in a loudspeaker-based auralization system and in a real room using binaural ACTA ACUSTICA UNITED WITH ACUSTICA Vol.…”

Section: Introductionmentioning

confidence: 99%

Validation of a Virtual Sound Environment System for Testing Hearing Aids

Cubick

Dau

2016

Acta Acustica united with Acustica

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SummaryIn the development process of modern hearing aids, test scenarios that reproduce natural acoustic scenes have become increasingly important in recent years for the evaluation of new signal processing algorithms. To achieve high ecological validity, such scenarios should include components like reverberation, background noise, and multiple interfering talkers. Loudspeaker-based sound field reproduction techniques, such as higher-order Ambisonics, allow for the simulation of such complex sound environments and can be used for realistic listening experiments with hearing aids. However, to successfully employ such systems, it is crucial to know how experimental results from a virtual environment translate to the corresponding real environment. In this study, speech reception thresholds (SRTs) were measured with normal-hearing listeners wearing hearing aids, both in a real room and in a simulation of that room auralized via a spherical array of 29 loudspeakers, using either Ambisonics or a nearest loudspeaker method. The benefit from a static beamforming algorithm was considered in comparison to a hearing aid setting with omnidirectional microphones. The measured SRTs were about 2-4 dB higher, and the benefit from the beamformer setting was, on average, about 1.5 dB smaller in the virtual room than in the real room. These differences resulted from a more diffuse sound field in the virtual room as indicated by differences in measured directivity patterns for the hearing aids and interaural cross-correlation coefficients. Overall, the considered VSE system may represent a valuable tool for testing the effects of hearing-aid signal processing on physical and behavioural outcome measures in realistic acoustic environments.

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Section: Introductionmentioning

confidence: 99%

Validation of a Virtual Sound Environment System for Testing Hearing Aids

Cubick

Dau

2016

Acta Acustica united with Acustica

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“…Thereby, participants are allowed to involve affective aspects, like emotional or individual aspects. Typically, five-star Likert scales are utilized in this type of evaluation, since they are known to lead to consistent ratings [14,15]. The method comprises two phases: In the first phase, participants rate stimuli that (if possible) have not been processed by any audio system under test in a multi-stimulus procedure.…”

Section: Likert Scale/evaluation Of Overall Listening Experiencementioning

confidence: 99%

webMUSHRA — A Comprehensive Framework for Web-based Listening Tests

Schoeffler¹,

Bartoschek²,

Stöter³

et al. 2018

JORS

Self Cite

157

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For a long time, many popular listening test methods, such as ITU-R BS.1534 (MUSHRA), could not be carried out as web-based listening tests, since established web standards did not support all required audio processing features. With the standardization of the Web Audio API, the required features became available and, therefore, also the possibility to implement a wide range of established methods as web-based listening tests. In order to simplify the implementation of MUSHRA listening tests, the development of webMUSHRA was started. By utilizing webMUSHRA, experimenters can configure web-based MUSHRA listening tests without the need of web programming expertise. Today, webMUSHRA supports many more listening test methods, such as ITU-R BS.1116 and forced-choice procedures. Moreover, webMUSHRA is highly customizable and has been used in many auditory studies for different purposes.

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“…For further discussions on the choice of question when assessing OLE please refer to Schoeffler [22] (pp. [35][36][37][38][39][40][41][42].…”

Section: Procedures Of Listening Sessionsmentioning

confidence: 99%

“…The choice of analysis for Likert-type data is well discussed in the literature and some prominent studies such as [37] advocate the use of either non-parametric or parametric analysis. Specific to the analysis of OLE, it was shown that there are only minor differences in effect sizes and statistical significance values when comparing non-parametric and parametric methods [38]. In the analysis of the OLE data presented here, the data are predominantly regarded as ordinal and as such non-parametric statistical techniques are used.…”

Section: Ole Analysismentioning

confidence: 99%

The role of human influence factors on overall listening experience

Walton

Evans²

2018

Qual User Exp

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Overall listening experience (OLE) is an evaluation measure specific to the evaluation of audio, which aims to include all possible factors that may influence listeners' ratings of stimuli. As with quality of experience in general, OLE ratings are user dependent. Previous research has shown that listeners can be categorised by how much their OLE is influenced by content and technical audio quality respectively. In this article, we expand on this knowledge by investigating correlations between a range of human influence factors and the degree to which a listener is influenced by content and technical audio quality. This was done by means of a web-based experiment involving 58 participants from a range of backgrounds. Results show that listener type is significantly correlated with a range of psychographic variables and that the attitudinal measure 'competence' is the most suitable variable to be used as a predictor of listener type. As well as these results having direct applications such as tailoring systems and services to the needs of specific user groups, the results presented add to the understanding of how human factors can influence quality of experience in general.

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On the validity of virtual reality-based auditory experiments: a case study about ratings of the overall listening experience

Cited by 18 publications

References 46 publications

Validation of a Virtual Sound Environment System for Testing Hearing Aids

Validation of a Virtual Sound Environment System for Testing Hearing Aids

webMUSHRA — A Comprehensive Framework for Web-based Listening Tests

The role of human influence factors on overall listening experience

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