Representing Musical Instrument Sounds for their Automatic Classification
نویسنده
چکیده
A study on the automatic classification of musical instrument sounds is presented. A database of musical instrument sounds parameters was built for this purpose, which consists of musical instrument recordings and their parametric representation. The parameterization process was conceived and performed in order to find significant musical instrument sound features and to remove redundancy from the musical signal. Classification experiments of musical instrument sounds were performed with neural networks allowing a discussion of the feature extraction process efficiency and of its limitations. Conclusions and remarks concerning further development of this study and its relation to the current MPEG-7 standardization process are included.
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