Shen, Y., Petersen, E.A., Neely, S.T. (2024). Toward parametric Bayesian adaptive procedures for multi-frequency categorical loudness scaling. J. Acoust. Soc. Am. 156, 262-277. [https://doi.org/10.1121/10.0026592]
Kopun, J.G., Turner, M., Harris, S.E., Kamerer, A.M., Neely, S.T., Rasetshwane, D.M. (2022). Evaluation of Remote Categorical Loudness Scaling. Am. J. Audiol. 31, 45-56. [https://doi.org/10.1044/2021_AJA-21-00099]
Fultz, S.E., Neely, S.T., Kopun, J.G., Rasetshwane, D.M. (2020). Maximum Expected Information Approach for Improving Efficiency of Categorical Loudness Scaling. Front. Psychol. 11, 578352. [https://doi.org/10.3389/fpsyg.2020.578352]
Wróblewski, M., Rasetshwane, D.M., Neely, S.T., Jesteadt, W. (2017). Deriving loudness growth functions from categorical loudness scaling data. J. Acoust. Soc. Am. 142, 3660. [https://doi.org/10.1121/1.5017618]
Trevino, A.C., Jesteadt, W., Neely, S.T. (2016). Development of a multi-category psychometric function to model categorical loudness measurements. J. Acoust. Soc. Am. 140, 2571-2583. [http://dx.doi.org/10.1121/1.4964106]
Trevino, A.C., Jesteadt, W., Neely, S.T. (2016). Modeling the Individual Variability of Loudness Perception with a Multi-Category Psychometric Function. In Physiology, Psychoacoustics and Cognition in Normal and Impaired Hearing (pp. 155-164). Springer International Publishing. [http://dx.doi.org/10.1007/978-3-319-25474-6_17]
Rasetshwane, D.M., Trevino, A.C., Gombert, J.N., Liebig-Trehearn, L., Jesteadt, W., Neely, S.T., Gorga, M.P. (2015). Categorical loudness scaling and equal-loudness contours in listeners with normal hearing and hearing loss. J. Acoust. Soc. Am. 137, 1899-1913. [http://dx.doi.org/10.1121/1.4916605]
Al-Salim, S.C., Kopun, J.G., Neely, S.T., Jesteadt, W., Stiegemann, B., Gorga, M.P. (2010). Reliability of Categorical Loudness Scaling and its Relation to Threshold. Ear and Hearing 31, 567-578. [PMC3376894]
Examples
- ml_clsf_ex.zip (12 MB) - An example of how to determine a maximum-likelihood CLS function given a sequence of (level,category) pairs that represent the CLS responses of one listener at one frequency.
- adtrksim.zip (8 MB) - An example of CLS adaptive tracking based on maximum expected information (MEI).
- clspf_demo.zip (404 MB) - An example of how to produce trial-by-trial data using simulated listeners.
audres.org
Boys Town National Research Hospital
Communication Engineering Laboratory