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 | Size | Format | |
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NDP_6516_SFB823_Friedrichs_Bauer_Martin_Weihs.pdf | DNB | 1.01 MB | Adobe PDF | View/Open |
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This item is protected by original copyright
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