Authors: Friedrichs, Klaus
Bauer, Nadja
Martin, Rainer
Weihs, Claus
Title: A computational study of auditory models in music recognition tasks for normalhearing and hearing-impaired listeners
Language (ISO): en
Abstract: The utility of auditory models for solving three music recognition tasks { onset detection, pitch estimation and instrument recognition { is analyzed. Appropriate features are introduced which enable the use of supervised classification. The auditory model-based approaches are tested in a comprehensive study and compared to state-of-the-art methods, which usually do not employ an auditory model. For this study, music data is selected according to an experimental design, which enables statements about performance differences with respect to specific music characteristics. The results confirm that the performance of music classification using the auditory model is at least comparable to the traditional methods. Furthermore, the auditory model is modified to exemplify the decrease of recognition rates in the presence of hearing deficits. The resulting system is a basis for estimating the intelligibility of music which in the future might be used for the automatic assessment of hearing instruments.
Subject Headings: music recognition
hearing impairment
music intelligibility
auditory model
instrument recognition
pitch estimation
onset detection
classification
Subject Headings (RSWK): Musikwahrnehmung
Hörschädigung
Musikverstehen
Modellierung
Ohr
Klassifikation
URI: http://hdl.handle.net/2003/35382
http://dx.doi.org/10.17877/DE290R-17423
Issue Date: 2016
Appears in Collections:Sonderforschungsbereich (SFB) 823

Files in This Item:
File Description SizeFormat 
NDP_6516_SFB823_Friedrichs_Bauer_Martin_Weihs.pdfDNB1.01 MBAdobe PDFView/Open


This item is protected by original copyright



All resources in the repository are protected by copyright.