| A
method to classify sounds of musical instruments (single monophonic
notes) is introduced. The classification is done using in parallel two
sets of perceptual features extracted from the sounds. The models used
are a mixture of gaussians, whose parameters where found by training
over a database of target sound families. The feature extraction
procedure, model training and model usage for classification are
explained. An implementation and results of the method are shown and
discussed. |
