Jukka Parviainen

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The Lattice of a Self-Organizing Map can be considered as an ”elastic network” that is fitted into the data space. The network is non-linear but locally the non-linear surface can be approximated by a linear hyperplane. This property could be utilized to visualize the direction of the network at any location of the map, by fitting a surface to the model(More)
A music recognition application (MUREA) is implemented for identifying songs from a database of songs. The system trains a GMM model for each song in the database using MFCC features extracted from raw audio. The time-independent models represent the spectral properties of the songs. Songs are identified by comparing the likelihoods of the models. Pruning(More)
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