Rough Set Based Automatic Classification of Musical Instrument Sounds
نویسندگان
چکیده
منابع مشابه
Rough Set Based Automatic Classification of Musical Instrument Sounds
Automatic classi cation of audio data arose increasing interest recently. This paper addresses the problem of automatic recognition of musical instrument sounds, applying rough set based techniques as a tool of classi cation. Instruments representing wind and string families were used in the experiments. Since the main problem in case of audio data is the proper parameterization, we also invest...
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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 ...
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Convenient searching of multimedia databases requires well annotated data. Labeling sound data with information like pitch or timbre must be done through sound analysis. In this paper, we deal with the problem of automatic classification of musical instrument on the basis of its sound. Although there are algorithms for basic sound descriptors extraction, correct identification of instrument sti...
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With the growing volume of data and feature (attribute) schemes, feature selection has become a very vital aspect in many data mining tasks including musical instrument sounds classification problem. The purpose of feature selection is to alleviate the effect of the „curse of dimensionality‟. This problem normally deals with the irrelevant and redundant features. Using the whole set of features...
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ژورنال
عنوان ژورنال: Electronic Notes in Theoretical Computer Science
سال: 2003
ISSN: 1571-0661
DOI: 10.1016/s1571-0661(04)80727-8