Analyse und Separation polyphoner Musiksignale
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.
Keywords
artificial neural networks; separation; signal processing; music signals; künstliche neuronale Netze; Separation; Signalverarbeitung; MusiksignaleDOI
10.5445/KSP/1000170636ISBN
9783731513650Publisher
KIT Scientific PublishingPublisher website
https://www.ksp.kit.edu/index.php?link=shop&sort=allPublication date and place
2024Series
Forschungsberichte aus der Industriellen Informationstechnik, 34Classification
Electrical engineering