论文信息 - Machine listening intelligence

Machine listening intelligence

This manifesto paper will introduce machine listening intelligence, an integrated research framework for acoustic and musical signals modelling, based on signal processing, deep learning and computational musicology.

Carmine-Emanuele Cella | Carmine-Emanuele Cella

[1] Geoffrey E. Hinton,et al. Deep Learning , 2015, Nature.

[2] Mira Balaban,et al. Understanding music with AI: perspectives on music cognition , 1992 .

[3] Guigang Zhang,et al. Deep Learning , 2016, Int. J. Semantic Comput..

[4] Fredrik Meyer,et al. Representation theory , 2015 .

[5] D. Conklin. Multiple Viewpoint Systems for Music Classification , 2013 .

[6] Vincent Lostanlen,et al. Deep Convolutional Networks on the Pitch Spiral For Music Instrument Recognition , 2016, ISMIR.

[7] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.

[8] Stéphane Mallat,et al. Understanding deep convolutional networks , 2016, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[9] Carmine Emanuele Cella. Towards a Symbolic Approach to Sound Analysis , 2009 .

[10] Geraint A. Wiggins,et al. Auditory Expectation: The Information Dynamics of Music Perception and Cognition , 2012, Top. Cogn. Sci..