Single-ended quality measurement of a music content via convolutional recurrent neural networks

Single-ended quality measurement of a music content via convolutional recurrent neural networks

The paper examines the usage of Convolutional Bidirectional Recurrent Neural Network (CBRNN) for a problem of quality measurement in a music content. The key contribution in this approach, compared to the existing research, is that the examined model is evaluated in terms of detecting acoustic anoma...

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Bibliographic Details
Main Authors:	Kamila Organiściak, Józef Borkowski
Format:	Article
Language:	English
Published:	Polish Academy of Sciences 2021-01-01
Series:	Metrology and Measurement Systems
Subjects:	audio data analysis artefacts detection convolutional neural networks recurrent neural networks classification model
Online Access:	https://journals.pan.pl/Content/117865/PDF/art12.pdf

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