Matrix analysis for fast learning of neural networks with application to the classification of acoustic spectra

Neural networks are increasingly being applied to problems in acoustics and audio signal processing. Large audio datasets are being generated for use in training machine learning algorithms, and the reduction of training times is of increasing relevance. The work presented here begins by reformulati...

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Veröffentlicht in:	The Journal of the Acoustical Society of America 2021-06, Vol.149 (6), p.4119-4133
Hauptverfasser:	Paul, Vlad S., Nelson, Philip A.
Format:	Artikel
Sprache:	eng
Online-Zugang:	Volltext
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