Work

Concurrent categorical scaling of sound quality measures (CCSM) – a database of psychoacoustic measures roughness, sharpness, tonality, loudness and annoyance of artificial and real sounds

Year: 2025

Type: article

Abstract: To connect sound quality with other psychoacoustic measures experimentally and for model evaluation, a benchmark set of simultaneously assessed measures with a large set of signals is highly desirable. Hence, two experiments were conducted, in which roughness, sharpness, tonality, loudness and annoyance were assessed for a total of 129 artificial and real sounds by normal-hearing listeners using a categorical scale. The instrumental loudness was equalized for most of the sounds to limit the influence of loudness. With test-retest correlation of r²>0.76 for all attributes, results indicated the reliability of the method. Correlation analyses and a multilinear regression revealed that, besides loudness, sharpness contributed most to annoyance (r²=0.72), while roughness (r²=0.04) and tonality (r²=0.08) did not contribute significantly. The present data set demonstrates the applicability of a categorical scale for the concurrent assessment of psychoacoustical properties and can serve as a basis for further research that is required to accurately model psychoacoustic measures for a broad range of signals.

Source: Fraunhofer-Publica (Fraunhofer-Gesellschaft)

DOI: 10.3205/zaud000073

Authors: Schell-Majoor, Lena, Ewert, Stephan D., Kollmeier, Birger, Rennies, Jan

Institutions: Carl von Ossietzky Universität Oldenburg, Hearing4all, Fraunhofer Institute for Digital Media Technology

Language: English

Topic: Vehicle Noise and Vibration Control

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: Niedersächsische Ministerium für Wissenschaft und Kultur, Deutsche Forschungsgemeinschaft

Award: G631873018