Modeling the Individual Variability of Loudness Perception with a Multi-Category Psychometric Function

Trevino, Andrea C.; Jesteadt, Walt; Neely, Stephen T.

doi:10.1007/978-3-319-25474-6_17

Cited by 2 publications

(1 citation statement)

References 8 publications

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“…The most common use for probabilistic listener models is to support the development of experiments or listening devices. They also allow for the application of concepts from detection, information, and estimation theory to the analysis of results and methodology of the experiment (Trevino et al, 2016b). The simulations were implemented using Monte Carlo methods, and therefore accounted for the randomness of individual listeners.…”

Section: Discussionmentioning

confidence: 99%

Maximum Expected Information Approach for Improving Efficiency of Categorical Loudness Scaling

et al. 2020

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Categorical loudness scaling (CLS) measures provide useful information about an individual’s loudness perception across the dynamic range of hearing. A probability model of CLS categories has previously been described as a multi-category psychometric function (MCPF). In the study, a representative “catalog” of potential listener MCPFs was used in conjunction with maximum-likelihood estimation to derive CLS functions for participants with normal hearing and with hearing loss. The approach of estimating MCPFs for each listener has the potential to improve the accuracy of the CLS measurements, particularly when a relatively low number of data points are available. The present study extends the MCPF approach by using Bayesian inference to select stimulus parameters that are predicted to yield maximum expected information (MEI) during data collection. The accuracy and reliability of the MCPF-MEI approach were compared to the standardized CLS measurement procedure ( ISO 16832:2006, 2006 ). A non-adaptive, fixed-level, paradigm served as a “gold-standard” for this comparison. The test time required to obtain measurements in the standard procedure is a major barrier to its clinical uptake. Test time was reduced from approximately 15 min to approximately 3 min with the MEI-adaptive procedure. Results indicated that the test–retest reliability and accuracy of the MCPF-MEI adaptive procedures were similar to the standardized CLS procedure. Computer simulations suggest that the reliability and accuracy of the MEI procedure were limited by intrinsic uncertainty of the listeners represented in the MCPF catalog. In other words, the MCPF provided insufficient predictive power to significantly improve adaptive-tracking efficiency under practical conditions. Concurrent optimization of both the MCPF catalog and the MEI-adaptive procedure have the potential to produce better results. Regardless of the adaptive-tracking method used in the CLS procedure, the MCPF catalog remains clinically useful for enabling maximum-likelihood determination of loudness categories.

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Section: Discussionmentioning

confidence: 99%

Maximum Expected Information Approach for Improving Efficiency of Categorical Loudness Scaling

et al. 2020

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Changing Knowledge, Principles, and Technology in Contemporary Clinical Audiological Practice: A Narrative Review

Brice,

Zakis,

Almond

2024

JCM

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The field of audiology as a collection of auditory science knowledge, research, and clinical methods, technologies, and practices has seen great changes. A deeper understanding of psychological, cognitive, and behavioural interactions has led to a growing range of variables of interest to measure and track in diagnostic and rehabilitative processes. Technology-led changes to clinical practices, including teleaudiology, have heralded a call to action in order to recognise the role and impact of autonomy and agency on clinical practice, engagement, and outcomes. Advances in and new information on loudness models, tinnitus, psychoacoustics, deep neural networks, machine learning, predictive and adaptive algorithms, and PREMs/PROMs have enabled innovations in technology to revolutionise clinical principles and practices for the following: (i) assessment, (ii) fitting and programming of hearing devices, and (iii) rehabilitation. This narrative review will consider how the rise of teleaudiology as a growing and increasingly fundamental element of contemporary adult audiological practice has affected the principles and practices of audiology based on a new era of knowledge and capability. What areas of knowledge have grown? How has new knowledge shifted the priorities in clinical audiology? What technological innovations have been combined with these to change clinical practices? Above all, where is hearing loss now consequently positioned in its journey as a field of health and medicine?

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Modeling the Individual Variability of Loudness Perception with a Multi-Category Psychometric Function

Cited by 2 publications

References 8 publications

Maximum Expected Information Approach for Improving Efficiency of Categorical Loudness Scaling

Maximum Expected Information Approach for Improving Efficiency of Categorical Loudness Scaling

Changing Knowledge, Principles, and Technology in Contemporary Clinical Audiological Practice: A Narrative Review

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