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Neural Computing and Applications

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01-04-2019 | Editorial

The emergence of deep learning: new opportunities for music and audio technologies

Authors: Dorien Herremans, Ching-Hua Chuan

Published in: Neural Computing and Applications | Issue 4/2020

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There has been tremendous interest in deep learning across many fields of study. Recently, these techniques have gained popularity in the field of music. Projects such as Magenta (Google’s Brain Team’s music generation project), Jukedeck, and IBM Watson Beat testify to their potential. Due to this rising interest in using deep neural networks to tackle tasks in the domain of audio and music, the guest editors organized the first International Workshop on Music and Audio as part of the International Joint Conference on Neural Networks (IJCNN) in Anchorage, Alaska in 2017. The current NCAA issue on “Deep learning for music and audio” was born out of the workshop. …

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Title: The emergence of deep learning: new opportunities for music and audio technologies
Authors: Dorien Herremans
Ching-Hua Chuan
Publication date: 01-04-2019
Publisher: Springer London
Published in: Neural Computing and Applications / Issue 4/2020
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-019-04166-0

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