A ROBUST ENSEMBLE MODEL FOR SPOKEN LANGUAGE RECOGNITION
Nancy WOODS
chyn.woods@gmail.comUniversity of Ibadan, Faculty of Science, Department of Computer Science, Oyo State Ibadan (Nigeria)
Gideon BABATUNDE
* University of Ibadan, Faculty of Science, Department of Computer Science, Oyo State Ibadan (Nigeria)
Abstract
Effective decision-making in industry conditions requires access and proper presentation of manufacturing data on the realised manufacturing process. Although the frequently applied ERP systems allow for recording economic events, their potential for decision support is limited. The article presents an original system for reporting manufacturing data based on Business Intelligence technology as a support for junior and middle management. As an example a possibility of utilising data from ERP systems to support decision-making in the field of purchases and logistics in small and medium enterprises.
Keywords:
Spoken Language Recognition, Computer Vision, Image Recognition, CNNReferences
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Authors
Nancy WOODSchyn.woods@gmail.com
University of Ibadan, Faculty of Science, Department of Computer Science, Oyo State Ibadan Nigeria
Authors
Gideon BABATUNDE* University of Ibadan, Faculty of Science, Department of Computer Science, Oyo State Ibadan Nigeria
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