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A conversation analysis framework using speech recognition and naïve bayes classification for construction process monitoring

Author
Zhang, T.; Lee, Y.; Zhu, Y.; Hernando, J.
Type of activity
Presentation of work at congresses
Name of edition
Construction Research Congress 2018
Date of publication
2018
Book of congress proceedings
Construction Research Congress 2018: Construction Information Technology: Selected papers from the Construction Research Congress 2018: April 2-4, 2018: New Orleans, Louisiana
First page
572
Last page
580
Publisher
American Society of Civil Engineers (ASCE)
DOI
https://doi.org/10.1061/9780784481264.056 Open in new window
Repository
http://hdl.handle.net/2117/123196 Open in new window
URL
https://ascelibrary.org/doi/10.1061/9780784481264.056 Open in new window
Abstract
At a dynamic construction site, conversations convey vital information including construction activities, operation status, and task performance. Even though because of information security, recording the entire conversations of a construction project is currently somewhat restricted, establishing a framework to capture and analyze construction conversations would be a promising approach to enhance the utilization of new field information for construction progress monitoring and safety surveilla...
Citation
Zhang, T., Lee, Y., Zhu, Y., Hernando, J. A conversation analysis framework using speech recognition and naïve bayes classification for construction process monitoring. A: Construction Research Congress. "Construction Research Congress 2018: Construction Information Technology: Selected papers from the Construction Research Congress 2018: April 2-4, 2018: New Orleans, Louisiana". American Society of Civil Engineers (ASCE), 2018, p. 572-580.
Keywords
Bayes classification, Character recognition, Classification accuracy, Classifiers, Construction, Construction activities, Construction industry, Construction progress, Construction project management, Construction projects, Conversation analysis, Expert systems, Naive Bayes classifiers, Natural language processing systems, Process monitoring, Project management, Security of data, Speech recognition
Group of research
IDEAI-UPC - Intelligent Data Science and Artificial Intelligence Research Center
TALP - Centre for Language and Speech Technologies and Applications
VEU - Speech Processing Group

Participants