صورة الغلاف

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...

وصف كامل

محفوظ في:
المؤلف الرئيسي: Schwabe, Markus
التنسيق: Online
اللغة:الألمانية
منشور في: KIT Scientific Publishing 2024
الموضوعات:
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
الوصول للمادة أونلاين:https://library.oapen.org/handle/20.500.12657/92216
الوسوم: إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
الملخص: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.

مواد مشابهة