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Automatic Musical Genre Classification Of Audio Signals (2002)

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by George Tzanetakis , Georg Essl , Perry Cook
Venue:IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING
Citations:829 - 35 self
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BibTeX

@INPROCEEDINGS{Tzanetakis02automaticmusical,
    author = {George Tzanetakis and Georg Essl and Perry Cook},
    title = {Automatic Musical Genre Classification Of Audio Signals},
    booktitle = {IEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSING},
    year = {2002},
    pages = {293--302},
    publisher = {}
}

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Abstract

... 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 instrumentation, rhythmic structure and form of its members. In this work, algorithms for the automatic genre categorization of audio signals are described. More specifically, we propose a set of features for representing texture and instrumentation. In addition a novel set of features for representing rhythmic structure and strength is proposed. The performance of those feature sets has been evaluated by training statistical pattern recognition classifiers using real world audio collections. Based on the automatic hierarchical genre classification two graphical user interfaces for browsing and interacting with large audio collections have been developed.

Keyphrases

audio signal    automatic musical genre classification    rhythmic structure    music information retrieval    particular musical genre    novel set    feature set    automatic genre categorization    describe music    statistical pattern recognition classifier    automatic hierarchical genre classification    digital form    real world audio collection    graphical user interface    genre categorization    statistical property    large audio collection   

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