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...
متن کاملAutomatic Musical Instrument Recognition
First and foremost, I wish to express my gratitude to Mr Anssi Klapuri, who was the initiator of this research and provided guidance, advice and support of all kinds for this work. I wish to thank Professor Jaakko Astola for his advice and comments. I am grateful for the staff at the Audio Research Group and Insitute of Signal Processing for providing a stimulating working atmosphere. During th...
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This paper addresses the problem of classifying large databases of musical instrument sounds. An efficient algorithm is proposed for selecting the most appropriate signal features for a given classification task. This algorithm, called IRMFSP, is based on the maximization of the ratio of the between-class inertia to the total inertia combined with a step-wise feature space orthogonalization. Se...
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ژورنال
عنوان ژورنال: Journal of New Music Research
سال: 2003
ISSN: 0929-8215
DOI: 10.1076/jnmr.32.1.3.16798