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ML & MIR

Here are some useful links on Machine Learning (ML) and Music Information Retrieval(MIR) I've come across.

ML

  • http://scikit-learn.org/stable/modules/svm.html
  • http://work.caltech.edu/library/
  • http://ufldl.stanford.edu/wiki/index.php/Main_Page
  • http://deeplearning.net/
  • http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf

ML people

  • http://www.cs.toronto.edu/~hinton/
  • http://www.iro.umontreal.ca/~bengioy/
  • http://ai.stanford.edu/~ang/
  • http://www.idsia.ch/~juergen/
  • http://yann.lecun.com/
  • http://www.cs.utoronto.ca/~ilya/
  • http://www.uoguelph.ca/~gwtaylor/

Other intersting links

  • http://simontechblog.blogspot.com/2010/08/pybrain-reinforcement-learning-tutorial.html

ML in Music

  • http://www.sfu.ca/~eigenfel/arne/main.html
  • http://neuromusic.soc.plymouth.ac.uk/

MIR 

  • http://labrosa.ee.columbia.edu/millionsong/
  • http://musicmachinery.com/2011/09/04/how-to-process-a-million-songs-in-20-minutes/
  • CCRMA MIR Workshop
  • Multimodal Music Processing (on-line book)
  • http://musicdatascience.com/
  • http://www.academiccharts.com/
  • http://www.nyu.edu/classes/bello/MIR.html




Music Tech conferences:


  • ICMC
  • ISMIR
  • DAFX
  • SMC
  • EUSIPCO
  • MLSP
  • NIPS
  • ICASSP
  • ICMPC
  • NIME
  • ACM
  • ICMLA
  • MIRUM
  • Multimedia, SIGIR, IEEE ICME


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About Me

Jorge
Stanford, CA, United States
Currently a Ph.D. candidate studying Computer Based Music Theory and Acoustics @ Stanford's CCRMA
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