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Genre classification using bass-related high-level features and playing styles

: Abeßer, Jakob; Lukashevich, Hanna; Dittmar, Christian; Schuller, Gerald

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Hirata, K. ; International Society for Music Information Retrieval -ISMIR-:
ISMIR 2009. Proceedings of the 10th International Society for Music Information Retrieval Conference : October 26-30, 2009, Kobe, Japan
Montreal, 2009
ISBN: 978-0-9813537-0-8
International Society for Music Information Retrieval (ISMIR Conference) <10, 2009, Kobe>
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IDMT ()
music classification; audio features

Considering its mediation role between the poles of rhythm, harmony, and melody, the bass plays a crucial role in most music genres. This paper introduces a novel set of transcription-based high-level features that characterize the bass and its interaction with other participating instruments. Furthermore, a new method to model and automatically retrieve different genre-specific bass playing styles is presented. A genre classification task is used as benchmark to compare common machine learning algorithms based on the presented high-level features with a classification algorithm solely based on detected bass playing styles.