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Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition
Joint Authors
Cao, Chunxiang
Kamsing, Patcharin
Torteeka, Peerapong
Boonpook, Wuttichai
Source
Applied Computational Intelligence and Soft Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-07
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
To enhance the performance of image classification and speech recognition, the optimizer is considered an important factor for achieving high accuracy.
The state-of-the-art optimizer can perform to serve in applications that may not require very high accuracy, yet the demand for high-precision image classification and speech recognition is increasing.
This study implements an adaptive method for applying the particle filter technique with a gradient descent optimizer to improve model learning performance.
Using a pretrained model helps reduce the computational time to deploy an image classification model and uses a simple deep convolutional neural network for speech recognition.
The applied method results in a higher speech recognition accuracy score—89.693% for the test dataset—than the conventional method, which reaches 89.325%.
The applied method also performs well on the image classification task, reaching an accuracy of 89.860% on the test dataset, better than the conventional method, which has an accuracy of 89.644%.
Despite a slight difference in accuracy, the applied optimizer performs well in this dataset overall.
American Psychological Association (APA)
Kamsing, Patcharin& Torteeka, Peerapong& Boonpook, Wuttichai& Cao, Chunxiang. 2020. Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition. Applied Computational Intelligence and Soft Computing،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1126046
Modern Language Association (MLA)
Kamsing, Patcharin…[et al.]. Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition. Applied Computational Intelligence and Soft Computing No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1126046
American Medical Association (AMA)
Kamsing, Patcharin& Torteeka, Peerapong& Boonpook, Wuttichai& Cao, Chunxiang. Deep Neural Learning Adaptive Sequential Monte Carlo for Automatic Image and Speech Recognition. Applied Computational Intelligence and Soft Computing. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1126046
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1126046