What is HypetheSonics all about?
HypetheSonics is fundamentally a research project which aims to help improve our understanding of the correlations between measurements and human perception of sound. The goal is to be able to rate prospectives purchase in terms of sound quality before ever being responsible for return shipping and re-stocking fees. Or, if you know you like the sound of a particular device, to easily search for something else that sounds similar…
Research has already shown a strong correlation between measurable audio output and user preference. HypetheSonics’ databases and tools aim to avoid the chore of wading through pages of conflicting reviews or even having to understand how to read the various response graphs. The rank/search algorithms simply report the top hits based on either generic or tailored input preferences.
References
[1] S. Temme, S.E.Olive, S. Tatarunis, T. Welti and E. McMullin, The Correlation Between Distortion Audibility and Listener Preference in Headphones, 137th AES Convention, Los Angeles, 2014.
[2] T. Welti, S.E.Olive and O. Khonsaripour, Validation of a Virtual In-ear Headphone Listening Test Method, Audio Engineering Society 141st Convention, Los Angeles, 2016.
[3] T. Welti, S.E.Olive and O. Khonsaripour, Validation of a Virtual In-ear Headphone Listening Test Method, Audio Engineering Society 141st Convention, Los Angeles, 2016.
[4] S.E.Olive, T. Welti, and O. Khonsaripour, The Preferred Low Frequency Response of In-Ear Headphones, 142 AES Convention, Berlin, Germany, 2017.
[5] S.E.Olive, T. Welti, and O. Khonsaripour, The Influence of Program Material on Sound Quality Ratings of In-Ear Headphones, 142 AES Convention, Berlin, Germany, 2017.
[6] S.E.Olive, T. Welti, and O. Khonsaripour, A Statistical Model that Predicts Listeners’ Preference Ratings of Around-Ear and On-Ear Headphones, Audio Engineering Society convention paper, 9919, 2018.
[7] S. Olive, T. Welti, and O. Khonsaripour, A Statistical Model That Predicts Listeners’ Preference Ratings of In-Ear Headphones: Part 1 – Listening Test Results and Acoustic Measurements, presented at the 143rd Audio Eng. Convention, New York, USA (October 2017).
[8] S. Olive, T. Welti, and O. Khonsaripour, A Statistical Model That Predicts Listeners’ Preference Ratings of In-Ear Headphones: Part 2 – Development and Validation of the Model, presented at the 143rd Audio Eng. Convention, New York, USA, (October 2017).
[9] https://www.mathworks.com/matlabcentral/fileexchange/7028-iso-226-equal-loudness-level-contour-signal.
[10] CrinGraph Tool, by Marshall Lochbaum: https://github.com/mlochbaum/CrinGraph.
[11] AutoEq, by Jaakko Pasanen: https://github.com/jaakkopasanen/AutoEq.
[12] J. Breebaart, No Correlation Between Headphone Frequency Response and Retail Price, The Journal of the Acoustical Society of America, Vol. 141, No. 6, 2017.
Mission
To provide permanent, unrestricted community access to high-quality measurement databases, searchable by generic or tailored preference targets.
Vision
To help the global community in the goal towards a better understanding of what constitutes good quality audio.