Paper Info
Title
Curriculum Learning for Speech Emotion Recognition from Crowdsourced Labels.
Abstract
This study introduces a method to design a curriculum for machine-learning to maximize the efficiency during the training process of deep neural networks (DNNs) for speech emotion recognition. Previous studies in other machine-learning problems have shown the benefits of training a classifier following a curriculum where samples are gradually presented in increasing level of difficulty. For speech...
Year
DOI
Venue
2019
10.1109/TASLP.2019.2898816
IEEE/ACM Transactions on Audio, Speech, and Language Processing
Keywords
DocType
Volume
Training,Speech recognition,Task analysis,Emotion recognition,Speech processing,Machine learning,Computers
Journal
27
Issue
ISSN
Citations 
4
2329-9290
11
PageRank 
References 
Authors
0.63
22
2
Name
Order
Citations
PageRank
Reza Lotfian1302.65
Carlos Busso2161693.04