University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Modelling Timbral Hardness

Pearce, Andy, Brookes, Tim and Mason, Russell (2019) Modelling Timbral Hardness Applied Sciences, 9 (3).

applsci-09-00466.pdf - Accepted version Manuscript
Available under License Creative Commons Attribution.

Download (699kB) | Preview


Hardness is the most commonly searched timbral attribute within, a commonly used online sound effect repository. A perceptual model of hardness was developed to enable the automatic generation of metadata to facilitate hardness-based filtering or sorting of search results. A training dataset was collected of 202 stimuli with 32 sound source types, and perceived hardness was assessed by a panel of listeners. A multilinear regression model was developed on six features: maximum bandwidth, attack centroid, midband level, percussive-to-harmonic ratio, onset strength, and log attack time. This model predicted the hardness of the training data with R2 = 0.76. It predicted hardness within a new dataset with R2 = 0.57, and predicted the rank order of individual sources perfectly, after accounting for the subjective variance of the ratings. Its performance exceeded that of human listeners.

Item Type: Article
Divisions : Faculty of Arts and Social Sciences > Department of Music and Media
Authors :
Date : 30 January 2019
DOI : 10.3390/app9030466
Copyright Disclaimer : 2019 by the authors
Depositing User : Charlene King
Date Deposited : 15 Feb 2019 15:44
Last Modified : 05 Mar 2019 10:13

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800