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

Autor
Zhang, T.; Lee, Y.; Zhu, Y.; Hernando, J.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
Construction Research Congress 2018
Any de l'edició
2018
Llibre d'actes
Construction Research Congress 2018: Construction Information Technology: Selected papers from the Construction Research Congress 2018: April 2-4, 2018: New Orleans, Louisiana
Pàgina inicial
572
Pàgina final
580
DOI
https://doi.org/10.1061/9780784481264.056 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/123196 Obrir en finestra nova
URL
https://ascelibrary.org/doi/10.1061/9780784481264.056 Obrir en finestra nova
Resum
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...
Paraules clau
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
Grup de recerca
IDEAI-UPC Intelligent Data Science and Artificial Intelligence
TALP - Centre de Tecnologies i Aplicacions del Llenguatge i la Parla
VEU - Grup de Tractament de la Parla

Participants