Spectogram Prediction with Neural Networks

A neural network model for spectrogram magnitude prediction is presented. It has one convolutional layer that computes the shorttime Fourier transform. By choosing the magnitude of the spectrum as output and discarding the phase, it is possible to avoid complex number operations. The structure of th...

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Detalles Bibliográficos
Autores principales:	García, Mario Alejandro, Destéfanis, Eduardo A.
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2018
Materias:	Ciencias Informáticas discrete fourier transform spectrogram deep learning convolutional neural network
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/73033
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

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