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...

全面介紹

Saved in:
書目詳細資料
主要作者: Schwabe, Markus
格式: Online
語言:德语
出版: KIT Scientific Publishing 2024
主題:
在線閱讀:https://library.oapen.org/handle/20.500.12657/92216
標簽: 添加標簽
沒有標簽, 成為第一個標記此記錄!
_version_ 1869523496299659264
author Schwabe, Markus
author_browse Schwabe, Markus
author_facet Schwabe, Markus
author_sort Schwabe, Markus
collection Directory of Open Access Books
description 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.
format Online
id doab-20.500.12854ir-140524
institution Directory of Open Access Books
language ger
publishDate 2024
publishDateRange 2024
publishDateSort 2024
publisher KIT Scientific Publishing
publisherStr KIT Scientific Publishing
record_format ojs
spelling doab-20.500.12854ir-1405242025-05-27T07:32:56Z Analyse und Separation polyphoner Musiksignale Schwabe, Markus 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 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. 2024-07-16T09:53:54Z 2024-07-16T09:53:54Z 2024-07-15T13:25:27Z 2024 book https://library.oapen.org/handle/20.500.12657/92216 9783731513650 https://directory.doabooks.org/handle/20.500.12854/140524 ger Forschungsberichte aus der Industriellen Informationstechnik open access image/jpeg image/jpeg image/jpeg image/jpeg Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International Attribution-ShareAlike 4.0 International https://library.oapen.org/bitstream/20.500.12657/92216/1/analyse-und-separation-polyphoner-musiksignale.pdf https://library.oapen.org/bitstream/20.500.12657/92216/1/analyse-und-separation-polyphoner-musiksignale.pdf https://library.oapen.org/bitstream/20.500.12657/92216/1/analyse-und-separation-polyphoner-musiksignale.pdf https://library.oapen.org/bitstream/20.500.12657/92216/1/analyse-und-separation-polyphoner-musiksignale.pdf KIT Scientific Publishing 10.5445/KSP/1000170636 10.5445/KSP/1000170636 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731513650 AG Universitätsverlage 210 open access
spellingShingle 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
Schwabe, Markus
Analyse und Separation polyphoner Musiksignale
title Analyse und Separation polyphoner Musiksignale
title_full Analyse und Separation polyphoner Musiksignale
title_fullStr Analyse und Separation polyphoner Musiksignale
title_full_unstemmed Analyse und Separation polyphoner Musiksignale
title_short Analyse und Separation polyphoner Musiksignale
title_sort analyse und separation polyphoner musiksignale
topic 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
topic_facet 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
url https://library.oapen.org/handle/20.500.12657/92216
work_keys_str_mv AT schwabemarkus analyseundseparationpolyphonermusiksignale