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15 juillet 2024
- handle: 10670/1.obs306
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Forschungsberichte aus der Industriellen Informationstechnik
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Nets, Neural (Computer science) Artificial neural networks Neural nets (Computer science) Networks, Neural (Computer science) Work, Method of Industry (Psychology) Method of work Organology (Music) Instruments, Musical Serious music Musical compositions Art music Musical works Classical music Western music (Western countries) Art music, Western Western art music Methods of analysis Analysis and chemistry Analytical methods Chemical analysis Analysis methods Analysis and examinationCiter ce document
« analyse-und-separation-polyphoner-musiksignale.pdf », OAPEN Library Society and social sciences, ID : 10670/1.obs306
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Résumé
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.