Muddy, Muddled, or Muffled? Understanding the Perception of Audio Quality in Music by Hearing Aid Users

Underlying primary research data for a sensory evaluation study, focussing on the development of perceptual attributes for music audio quality from the perspective of hearing aid users. Research data include three .csv datasets corresponding to an individual elicitation task (single-word descriptors to describe music samples), background questionnaire (e.g., demographics, other characteristics), and a follow-up task (quantitative ratings relating to use of perceptual attributes of audio quality). These files are accompanied by a guidance document to navigate dataset variables. Finally, the research data include music samples (original and processed) utilised within the study. Part of the Cadenza Project
Please cite:
Bannister S., Greasley A. E., Cox T. J., Akeroyd M. A., Barker J., Fazenda B., Firth J., Graetzer S. N., Roa Dabike G., Vos R. R., & Whitmer W. M. (2024). Muddy, muddled, or muffled? Understanding the perception of audio quality in music by hearing aid users. Frontiers in Psychology, 15: 1310176. Doi: 10.3389/fpsyg.2024.1310176.
Music samples (original and processed) included in this research data are taken from the Medley DB database, with the following citations:
Bittner, R., Salamon, J., Tierney, M., Mauch, M., Cannam, C., and Bello, J. P. (2014). MedleyDB: A Multitrack Dataset for Annotation-Intensive MIR Research. Taipei, Taiwan: 15th International Society for Music Information Retrieval Conference..
Bittner, R., Wilkins, J., Yip, H., & Bello, J. (2016). MedleyDB 2.0: New Data and a System for Sustainable Data Collection. New York, NY, USA: International Conference on Music Information Retrieval (ISMIR-16).
Medley DB materials are available under a CC-BY-NC-SA 4.0 International License. However, inclusion of original and processed music samples in this data release was also given consent by the authors of the database, on 2nd Monday October 2023.