Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network-Reference-Cited by-同舟云学术

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Deep Karaoke: Extracting Vocals from Musical Mixtures Using a Convolutional Deep Neural Network

Published:2015 Issue: Volume: Page:429-436
ISSN:0302-9743
Container-title:Latent Variable Analysis and Signal Separation
language:
Short-container-title:

Author:

Simpson Andrew J. R.,Roma Gerard,Plumbley Mark D.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-22482-4_50

Reference19 articles.

1. McDermott, J.H.: The cocktail party problem. Curr. Biol. 19, R1024–R1027 (2009)

2. Pressnitzer, D., Sayles, M., Micheyl, C., Winter, I.M.: Perceptual organization of sound begins in the auditory periphery. Curr. Biol. 18, 1124–1128 (2008)

3. Ding, N., Simon, J.Z.: Emergence of neural encoding of auditory objects while listening to competing speakers. Proc. Natl. Acad. Sci. USA 109, 11854–11859 (2012)

4. Wang, Y., Wang, D.: Towards scaling up classification-based speech separation. IEEE Trans. Audio Speech Lang. Process. 21, 1381–1390 (2013)

5. Grais, E., Sen, M., Erdogan, H.: Deep neural networks for single channel source separation. In: 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 3734–3738 (2014)

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