Information fusion and data augmentation with deep features for a deep learning-based baby cry recognition / Zhang Ke

Deep learning theory has made remarkable advancements in baby cry recognition, significantly enhancing its accuracy. Nonetheless, existing research faces three challenges. Firstly, the limited size of the database increases the risk of overfitting for a deep learning model. Secondly, the current res...

Full description

Bibliographic Details

Main Author:	Zhang , Ke
Format:	Thesis
Published:	2024
Subjects:	RA Public aspects of medicine TA Engineering (General). Civil engineering (General)
Online Access:	http://studentsrepo.um.edu.my/15371/2/Zhang_Ke.pdf http://studentsrepo.um.edu.my/15371/1/Zhang_Ke.pdf http://studentsrepo.um.edu.my/15371/
Tags:	Add Tag No Tags, Be the first to tag this record!