MnM

From ftm

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Mapping is not Music

MnM is a set of Max/MSP externals based on FTMlib providing a unified framework for various techniques of classification, recognition and mapping for motion capture data, sound and music.

Features currently implemented in MnM include:

  • Hidden Markov Models, see for example Gesture Follower
  • Principal Components Analysis
  • Singular Value Decomposition, LU and QR decompositions
  • Non-negative Matrix Factorization and sparse decomposition
  • multi-dimensionnal M to N mapping based on examples
  • Multi-dimensioannal autocorrelation
  • Matrix/Vector Statistics (min, max, mean, std, histogram, mahalanobis distance)

The MnM package is released within the FTM distributions.

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Publications

Retrieved from "http://ftm.ircam.fr/index.php/MnM"