Optimization Simulation of English Speech RecognitionAccuracy Based on Improved Ant Colony Algorithm
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-06
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper is aimed at the problems of low accuracy, long recognition time, and low recognition efficiency in English speech recognition.
In order to improve the accuracy and efficiency of English speech recognition, an improved ant colony algorithm is used to deal with the dynamic time planning problem.
The core is to adopt an adaptive volatilization coefficient and dynamic pheromone update strategy for the basic ant colony algorithm.
Using new state transition rules and optimal ant parameter selection and other improved methods, the best path can be found in a shorter time and the execution efficiency can be improved.
Simulation experiments tested the recognition rates of traditional ant colony algorithm and improved ant colony algorithm.
The results show that the global search ability and accuracy of improved ant colony algorithm are better than traditional algorithms, which can effectively improve the efficiency of English speech recognition system.
American Psychological Association (APA)
Jing, Lu. 2020. Optimization Simulation of English Speech RecognitionAccuracy Based on Improved Ant Colony Algorithm. Complexity،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1144947
Modern Language Association (MLA)
Jing, Lu. Optimization Simulation of English Speech RecognitionAccuracy Based on Improved Ant Colony Algorithm. Complexity No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1144947
American Medical Association (AMA)
Jing, Lu. Optimization Simulation of English Speech RecognitionAccuracy Based on Improved Ant Colony Algorithm. Complexity. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1144947
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1144947