Development of an Interactive Speech Bot Using Dialogflow

The COVID-19 pandemic has introduced the new normal of introducing contactless transactions and interactions. This made voice assistive systems useful to business process requiring company to client communications. A generative-based interactive speech artificial intelligence for Asia Pacific Colleg...

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Bibliographic Details
Published in2023 IEEE 12th Global Conference on Consumer Electronics (GCCE) pp. 861 - 864
Main Authors Brucal, Stanley Glenn E., de Jesus, Luigi Carlo M., Yong, Einstein D., Peruda, Sergio R., Samaniego, Leonardo A., Alcantara, Tristan Carlo P, Buhay, Kahlil Ghesus R., Gallardo, John Trevor P., Navata, Raven Kyle C.
Format Conference Proceeding
LanguageEnglish
Published IEEE 10.10.2023
Subjects
Background noise
chatbot
Chatbots
Companies
COVID-19
intent matching
Pandemics
Software
speech processing
speech-to-text
Time factors
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Summary:The COVID-19 pandemic has introduced the new normal of introducing contactless transactions and interactions. This made voice assistive systems useful to business process requiring company to client communications. A generative-based interactive speech artificial intelligence for Asia Pacific College's (APC) Admissions Office is discussed in this paper. It collects data from user's voice input and generates a response that answers questions and inquiries concerning the services of the office. Software tests revealed an average accuracy in getting the right answers to questions of 88%. The system was able to provide the correct response in the presence of background noise at 91.5%. The average response time of the system was 2.36 seconds.
ISSN:2693-0854
DOI:10.1109/GCCE59613.2023.10315287