Quasi-psychoacoustic metrics for sound quality analysis of low-resolution data
Open Access
- 1 July 2026
- journal article
- Published by Acoustical Society of America (ASA) in JASA Express Letters
- Vol. 6 (7)
Abstract
Psychoacoustic metrics offer the means to analyse sound qualities using sophisticated models of human perception. A substantial drawback is the need for high-resolution acoustic data as input. Quasi-psychoacoustic metrics are proposed to address sound quality analysis when high-resolution acoustic data are unavailable. The proposed metrics aim to approximate sound qualities of loudness, sharpness, and tonal loudness using acoustic data with a much lower time resolution. As such, the metrics are expected to be primarily applicable to sounds featuring relatively slow modulations in intensity. A particular application case is used to validate the metrics: sound quality predictions for unmanned aircraft systems.Keywords
Funding Information
- UK Research and Innovation (10061935)
- HORIZON EUROPE Framework Programme (10061935)
This publication has 7 references indexed in Scilit:
- A Framework for Integrated Noise and Annoyance Modelling of Advanced Air Mobility Operations2026
- Annoyance Model Assessments of Urban Air Mobility Vehicle OperationsJournal of Aircraft, 2026
- Synthesis and auralisation of multirotor unmanned aerial systems from hovering flight noise recordingsThe Journal of the Acoustical Society of America, 2025
- Human perception and response to sound from unmanned aircraft systems within ambient acoustic environmentsnpj Acoustics, 2025
- Noise from Unconventional Aircraft: A Review of Current Measurement Techniques, Psychoacoustics, Metrics and RegulationCurrent Pollution Reports, 2023
- Extending sharpness calculation for an alternative loudness metric inputThe Journal of the Acoustical Society of America, 2017
- Prediction of Aural Detectability of Noise SignalsHuman Factors: The Journal of the Human Factors and Ergonomics Society, 1974