Literature DB >> 27598985

Modifications of the MUlti stimulus test with Hidden Reference and Anchor (MUSHRA) for use in audiology.

Christoph Völker1,2, Thomas Bisitz3, Rainer Huber3, Birger Kollmeier1,2, Stephan M A Ernst1,2.   

Abstract

OBJECTIVE: Two modifications of the standardised MUlti Stimulus test with Hidden Reference and Anchor (MUSHRA), namely MUSHRA simple and MUSHRA drag&drop, were implemented and evaluated together with the original test method. The modifications were designed to maximise the accessibility of MUSHRA for elderly and technically non-experienced listeners, who constitute the typical target group in hearing aid evaluation.
DESIGN: Three MUSHRA variants were assessed based on subjective and objective measures, e.g. test-retest reliability, discrimination ability, time exposure and overall preference. With each method, participants repeated the task to rate the quality of several hearing aid algorithms four times. STUDY SAMPLE: Fifty listeners grouped into five subject classes were tested, including elderly and technically non-experienced participants with normal and impaired hearing. Normal-hearing, technically experienced students served as controls.
RESULTS: Both modifications can be used to obtain compatible rating results. Both were preferred over the classical MUSHRA procedure. Technically experienced listeners performed best with the modification MUSHRA drag&drop.
CONCLUSIONS: The comprehensive comparison of the MUSHRA variants demonstrates that the intuitive modification MUSHRA drag&drop can be generally recommended. However, considering e.g. specific evaluation demands, we suggest a differentiated and careful application of listening test methods.

Entities:  

Keywords:  MUSHRA; hearing aid algorithms; perceptual evaluation; quality; subjective evaluation

Mesh:

Year:  2016        PMID: 27598985     DOI: 10.1080/14992027.2016.1220680

Source DB:  PubMed          Journal:  Int J Audiol        ISSN: 1499-2027            Impact factor:   2.117


  2 in total

1.  Instrumental Quality Predictions and Analysis of Auditory Cues for Algorithms in Modern Headphone Technology.

Authors:  Thomas Biberger; Henning Schepker; Florian Denk; Stephan D Ewert
Journal:  Trends Hear       Date:  2021 Jan-Dec       Impact factor: 3.293

2.  The "Missing 6 dB" Revisited: Influence of Room Acoustics and Binaural Parameters on the Loudness Mismatch Between Headphones and Loudspeakers.

Authors:  Florian Denk; Michael Kohnen; Josep Llorca-Bofí; Michael Vorländer; Birger Kollmeier
Journal:  Front Psychol       Date:  2021-03-26
  2 in total

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