A Globally Regularized Joint Neural Architecture for Music Classification

A Globally Regularized Joint Neural Architecture for Music Classification

Music classification is an essential application of Music Information Retrieval (MIR) in organizing extensive collections of music. The tasks to classify different music with reliable accuracy observed to be challenging. Most of these tasks employ handcrafted feature engineering to build a classifie...

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Bibliographic Details
Main Authors: Mohsin Ashraf, Guohua Geng, Xiaofeng Wang, Farooq Ahmad, Fazeel Abid
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Information retrieval
information systems
convolutional neural networks (CNNs)
recurrent neural networks (RNNs)
global layer regularization (GLR)
music classification
Online Access:https://ieeexplore.ieee.org/document/9285257/

Internet

https://ieeexplore.ieee.org/document/9285257/

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