A Framework for Content-Based Search in Large Music Collections
We address the problem of scalable content-based search in large collections of music documents. Music content is highly complex and versatile and presents multiple facets that can be considered independently or in combination. Moreover, music documents can be digitally encoded in many ways. We prop...
Main Authors: | Tiange Zhu, Raphaël Fournier-S’niehotta, Philippe Rigaux, Nicolas Travers |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2022-02-01
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Series: | Big Data and Cognitive Computing |
Subjects: | |
Online Access: | https://www.mdpi.com/2504-2289/6/1/23 |
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