Analyse und Separation polyphoner Musiksignale

Schwabe, Markus

doi:10.5445/KSP/1000170636

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https://library.oapen.org/bitstream/20.500.12657/92216/1/analyse-und-separation-polyphoner-musiksignale.pdf
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https://library.oapen.org/bitstream/20.500.12657/92216/1/analyse-und-separation-polyphoner-musiksignale.pdf

Author(s)

Schwabe, Markus

Language

German

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Abstract

In this work, improved signal analysis approaches for polyphonic music recordings, based on artificial neural networks, are presented. These approaches enable an objective estimation of the recording quality of amateur recordings, an improved time-dependent detection of active musical instruments, and an improved separation of ensemble recordings with different instruments.

URI

https://directory.doabooks.org/handle/20.500.12854/140524

Keywords

artificial neural networks; separation; signal processing; music signals; künstliche neuronale Netze; Separation; Signalverarbeitung; Musiksignale; thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TH Energy technology and engineering::THR Electrical engineering

Publication date and place

2024

Series

Forschungsberichte aus der Industriellen Informationstechnik,

Pages

210

Rights

https://creativecommons.org/licenses/by-sa/4.0/

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Except where otherwise noted, this item's license is described as open access