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
• http://www.cs.northwestern.edu/~pardo/courses/eecs352/lectures/
• http://www.music.mcgill.ca/~hockman/coursework/MUMT_614/scheirer/614_scheirer_presentation.pdf
• http://www.cs.ubc.ca/~murphyk/Software/HMM/E6820-L10-ASR-seq.pdf
• http://www.ee.columbia.edu/~dpwe/e6820/lectures/E6820-L11-ASR-sys.pdf

Datasets

• http://www.audiocontentanalysis.org/data-sets/
• Multitrack Audio for Music Research
• Professional production quality speech and corresponding aligned speech recorded on common consumer devices

Music Tech conferences:

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