publication . Preprint . 2017

Kapre: On-GPU Audio Preprocessing Layers for a Quick Implementation of Deep Neural Network Models with Keras

Choi, Keunwoo; Joo, Deokjin; Kim, Juho;
Open Access English
  • Published: 19 Jun 2017
Abstract
Comment: ICML 2017 machine learning for music discovery
Subjects
free text keywords: Computer Science - Sound, Computer Science - Learning, Computer Science - Multimedia
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Aytar, Yusuf, Vondrick, Carl, and Torralba, Antonio. Soundnet: Learning sound representations from unlabeled video. In Advances in Neural Information Processing Systems, pp. 892-900, 2016. [OpenAIRE]

Bogdanov, Dmitry, Wack, Nicolas, G o´mez, Emilia, Gulati, Sankalp, Herrera, Perfecto, Mayor, Oscar, Roma, Gerard, Salamon, Justin, Zapata, Jose´ R, Serra, Xavier, et al. Essentia: An audio analysis library for music information retrieval. In ISMIR, pp. 493-498, 2013. [OpenAIRE]

Choi, Keunwoo, Fazekas, George, and Sandler, Mark. Automatic tagging using deep convolutional neural networks. In The 17th International Society of Music Information Retrieval Conference, New York, USA. International Society of Music Information Retrieval, 2016. [OpenAIRE]

Chollet, Franc¸ois. Keras: Deep learning library for theano and tensorflow. https://github.com/fchollet/keras, 2015.

McFee, Brian, McVicar, Matt, Nieto, Oriol, Balke, Stefan, Thome, Carl, Liang, Dawen, Battenberg, Eric, Moore, Josh, Bittner, Rachel, Yamamoto, Ryuichi, Ellis, Dan, Stoter, Fabian-Robert, Repetto, Douglas, Waloschek, Simon, Carr, CJ, Kranzler, Seth, Choi, Keunwoo, Viktorin, Petr, Santos, Joao Felipe, Holovaty, Adrian, Pimenta, Waldir, and Lee, Hojin. librosa 0.5.0, February 2017. URL https://doi.org/10.5281/zenodo.293021.

Theano Development Team. Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688, May 2016. URL http: //arxiv.org/abs/1605.02688.

Van Merrie¨nboer, Bart, Bahdanau, Dzmitry, Dumoulin, Vincent, Serdyuk, Dmitriy, Warde-Farley, David, Chorowski, Jan, and Bengio, Yoshua. Blocks and fuel: Frameworks for deep learning. arXiv preprint arXiv:1506.00619, 2015.

Abstract
Comment: ICML 2017 machine learning for music discovery
Subjects
free text keywords: Computer Science - Sound, Computer Science - Learning, Computer Science - Multimedia
Download from

Aytar, Yusuf, Vondrick, Carl, and Torralba, Antonio. Soundnet: Learning sound representations from unlabeled video. In Advances in Neural Information Processing Systems, pp. 892-900, 2016. [OpenAIRE]

Bogdanov, Dmitry, Wack, Nicolas, G o´mez, Emilia, Gulati, Sankalp, Herrera, Perfecto, Mayor, Oscar, Roma, Gerard, Salamon, Justin, Zapata, Jose´ R, Serra, Xavier, et al. Essentia: An audio analysis library for music information retrieval. In ISMIR, pp. 493-498, 2013. [OpenAIRE]

Choi, Keunwoo, Fazekas, George, and Sandler, Mark. Automatic tagging using deep convolutional neural networks. In The 17th International Society of Music Information Retrieval Conference, New York, USA. International Society of Music Information Retrieval, 2016. [OpenAIRE]

Chollet, Franc¸ois. Keras: Deep learning library for theano and tensorflow. https://github.com/fchollet/keras, 2015.

McFee, Brian, McVicar, Matt, Nieto, Oriol, Balke, Stefan, Thome, Carl, Liang, Dawen, Battenberg, Eric, Moore, Josh, Bittner, Rachel, Yamamoto, Ryuichi, Ellis, Dan, Stoter, Fabian-Robert, Repetto, Douglas, Waloschek, Simon, Carr, CJ, Kranzler, Seth, Choi, Keunwoo, Viktorin, Petr, Santos, Joao Felipe, Holovaty, Adrian, Pimenta, Waldir, and Lee, Hojin. librosa 0.5.0, February 2017. URL https://doi.org/10.5281/zenodo.293021.

Theano Development Team. Theano: A Python framework for fast computation of mathematical expressions. arXiv e-prints, abs/1605.02688, May 2016. URL http: //arxiv.org/abs/1605.02688.

Van Merrie¨nboer, Bart, Bahdanau, Dzmitry, Dumoulin, Vincent, Serdyuk, Dmitriy, Warde-Farley, David, Chorowski, Jan, and Bengio, Yoshua. Blocks and fuel: Frameworks for deep learning. arXiv preprint arXiv:1506.00619, 2015.

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