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Deep Neural Network for Audio and Music Transformations

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Deep Neural Network for Audio and Music Transformations
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6
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CC Attribution 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal purpose as long as the work is attributed to the author in the manner specified by the author or licensor.
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Production Year2020

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Abstract
We will first discuss how deep learning techniques can be used for audio signals. To that aim, we will recall some of the important characteristics of an audio signal and review some of the main deep learning architectures and concepts used in audio signal analysis. We will then illustrate some of these concepts in more details with two applications, namely informed singing voice source separation and music style transfer.