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...

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Bibliographic Details
Main Authors: Tiange Zhu, Raphaël Fournier-S’niehotta, Philippe Rigaux, Nicolas Travers
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Big Data and Cognitive Computing
Subjects:
Online Access:https://www.mdpi.com/2504-2289/6/1/23