Towards effective content-based music retrieval with multiple acoustic feature composition

• Main Authors: SHEN, Jialie, Shepherd, John, Ahh, Ngu
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2006
• Subjects: acoustic signal processing; audio databases; content-based retrieval; learning (artificial intelligence); multilayer perceptrons; multimedia databases; music; pattern classification; principal component analysis; PCA; audio alteration; content-based mus; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/128; https://ink.library.smu.edu.sg/context/sis_research/article/1127/viewcontent/Towards_Effective_Content_Based_Music_Retrieval_With_Multiple_Acoustic_Feature_Combination.pdf
• Institution: Singapore Management University

In this paper, we present a new approach to constructing music descriptors to support efficient content-based music retrieval and classification. The system applies multiple musical properties combined with a hybrid architecture based on principal component analysis (PCA) and a multilayer perceptron...