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Style Transfer for Audio using Convolutional Neural Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 175 - Number 8 |
| Year of Publication: 2017 |
| Authors: Bhaumik Choksi, Alisha Sawant, Swati Mali |
10.5120/ijca2017915612
|
Bhaumik Choksi, Alisha Sawant, Swati Mali . Style Transfer for Audio using Convolutional Neural Networks. International Journal of Computer Applications. 175, 8 ( Oct 2017), 17-20. DOI=10.5120/ijca2017915612
Abstract
Convolutional neural networks have recently become extremely popular in various deep learning applications. One such application is style transfer for images. Following this trend, this paper explores how this technique can be applied to audio data. The technique discussed involves combining the content features of one audio sample with the style features of another audio sample. The results produced show how a Convolutional Neural Network can be used to extract features from audio signals. The paper also discusses the various modifications made in the algorithm used for image style transfer in order to apply it to audio signals.
References
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