Representing musical instrument sounds for their automatic classification

A study of the automatic classification of musical instrument sounds is pre sented. For this purpose a database of musical instrument sound parameters was built which consists of musical instrument recordings and their paramet ric representations. The parameterization process was conceived and perform ed in order to find significant musical instrument sound features and to re move redundancy from the musical signal. Classification experiments of musi cal instrument sounds were performed with neural networks allowing a discus sion of the efficiency of the feature extraction process and its limitation s. Conclusions and remarks concerning further development of this study and its relation to the current MPEG-7 standardization process are included.