Musical Genre Classification Using SVM and Audio Features
نویسندگان
چکیده
منابع مشابه
Automatic Musical Genre Classification of Audio Signals
Musical genres are categorical descriptions that are used to describe music. They are commonly used to structure the increasing amounts of music available in digital form on the Web and are important for music information retrieval. Genre categorization for audio has traditionally been performed manually. A particular musical genre is characterized by statistical properties related to the instr...
متن کاملMusical genre classification of audio signals
Musical genres are categorical labels created by humans to characterize pieces of music. A musical genre is characterized by the common characteristics shared by its members. These characteristics typically are related to the instrumentation, rhythmic structure, and harmonic content of the music. Genre hierarchies are commonly used to structure the large collections of music available on the We...
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Automatic musical genre classification is very useful for many musical applications. In this paper, the features of instrument distribution and instrument-based notes are proposed to represent the high-level characteristics of music. Experimental results show that the proposed features have a good performance in musical genre classification. Comparison between our proposed features with the com...
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We report our findings on using MIDI files and audio features from MIDI, separately and combined together, for MIDI music genre classification. We use McKay and Fujinaga’s 3-root and 9-leaf genre data set. In order to compute distances between MIDI pieces, we use normalized compression distance (NCD). NCD uses the compressed length of a string as an approximation to its Kolmogorov complexity an...
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ژورنال
عنوان ژورنال: TELKOMNIKA (Telecommunication Computing Electronics and Control)
سال: 2016
ISSN: 2302-9293,1693-6930
DOI: 10.12928/telkomnika.v14i3.3281