Analyse und Separation polyphoner Musiksignale

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, a...

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Hlavní autor:	Schwabe, Markus
Médium:	Online
Jazyk:	němčina
Vydáno:	KIT Scientific Publishing 2024
Témata:	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
On-line přístup:	https://library.oapen.org/handle/20.500.12657/92216
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