Bannister Scott, Greasley Alinka E, Cox Trevor J, Akeroyd Michael A, Barker Jon, Fazenda Bruno, Firth Jennifer, Graetzer Simone N, Roa Dabike Gerardo, Vos Rebecca R, Whitmer William M
School of Music, University of Leeds, Leeds, United Kingdom.
Acoustics Research Centre, University of Salford, Salford, United Kingdom.
Front Psychol. 2024 Feb 21;15:1310176. doi: 10.3389/fpsyg.2024.1310176. eCollection 2024.
Previous work on audio quality evaluation has demonstrated a developing convergence of the key perceptual attributes underlying judgments of quality, such as timbral, spatial and technical attributes. However, across existing research there remains a limited understanding of the crucial perceptual attributes that inform audio quality evaluation for people with hearing loss, and those who use hearing aids. This is especially the case with music, given the unique problems it presents in contrast to human speech.
This paper presents a sensory evaluation study utilising descriptive analysis methods, in which a panel of hearing aid users collaborated, through consensus, to identify the most important perceptual attributes of music audio quality and developed a series of rating scales for future listening tests. Participants ( = 12), with a hearing loss ranging from mild to severe, first completed an online elicitation task, providing single-word terms to describe the audio quality of original and processed music samples; this was completed twice by each participant, once with hearing aids, and once without. Participants were then guided in discussing these raw terms across three focus groups, in which they reduced the term space, identified important perceptual groupings of terms, and developed perceptual attributes from these groups (including rating scales and definitions for each).
Findings show that there were seven key perceptual dimensions underlying music audio quality (, , , , , , and ), alongside a music audio quality attribute and possible alternative frequency balance attributes.
We outline how these perceptual attributes align with extant literature, how attribute rating instruments might be used in future work, and the importance of better understanding the music listening difficulties of people with varied profiles of hearing loss.
先前关于音频质量评估的研究表明,在质量判断背后的关键感知属性,如音色、空间和技术属性,正呈现出一种逐渐趋同的态势。然而,在现有的研究中,对于影响听力损失者和使用助听器者的音频质量评估的关键感知属性,人们的理解仍然有限。对于音乐而言,情况尤其如此,因为它与人类语音相比存在独特的问题。
本文介绍了一项利用描述性分析方法的感官评估研究,在该研究中,一组助听器使用者通过协商合作,确定了音乐音频质量最重要的感知属性,并为未来的听力测试开发了一系列评级量表。12名听力损失程度从轻度到重度不等的参与者首先完成了一项在线启发任务,提供单字术语来描述原始音乐样本和处理后的音乐样本的音频质量;每位参与者完成两次该任务,一次佩戴助听器,一次不佩戴。然后,在三个焦点小组中引导参与者讨论这些原始术语,在小组中他们缩小了术语范围,确定了术语的重要感知分组,并从这些分组中开发了感知属性(包括每个属性的评级量表和定义)。
研究结果表明,音乐音频质量有七个关键感知维度(、、、、、、和),以及一个音乐音频质量属性和可能的替代频率平衡属性。
我们概述了这些感知属性如何与现有文献一致,属性评级工具在未来工作中可能如何使用,以及更好地理解不同听力损失情况的人们在音乐聆听方面的困难的重要性。