AI Voice Assistant for Smartphones With NLP Techniques

AI Voice Assistant for Smartphones With NLP Techniques

Copyright: © 2024 |Pages: 18
ISBN13: 9798369321652|ISBN13 Softcover: 9798369344866|EISBN13: 9798369321669
DOI: 10.4018/979-8-3693-2165-2.ch002
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MLA

Kiwa, Fungai Jacqueline, et al. "AI Voice Assistant for Smartphones With NLP Techniques." AI-Driven Marketing Research and Data Analytics, edited by Reason Masengu, et al., IGI Global, 2024, pp. 30-47. https://doi.org/10.4018/979-8-3693-2165-2.ch002

APA

Kiwa, F. J., Muduva, M., & Masengu, R. (2024). AI Voice Assistant for Smartphones With NLP Techniques. In R. Masengu, O. Chiwaridzo, M. Dube, & B. Ruzive (Eds.), AI-Driven Marketing Research and Data Analytics (pp. 30-47). IGI Global. https://doi.org/10.4018/979-8-3693-2165-2.ch002

Chicago

Kiwa, Fungai Jacqueline, Martin Muduva, and Reason Masengu. "AI Voice Assistant for Smartphones With NLP Techniques." In AI-Driven Marketing Research and Data Analytics, edited by Reason Masengu, et al., 30-47. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-2165-2.ch002

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Abstract

The AI voice assistant mobile application was developed to aid drivers in operating their mobile phones while driving without touching their phones. The literature review examines multiple innovative artificial technologies involved in applications with voice assistants in natural language processing (NLP) techniques. The methodology used involved a qualitative approach, and the design science paradigm was used for the development of the voice assistant for smartphones with NLP techniques. NLP techniques that were applied in the development of the AI voice assistant are smart synthesis, data flow sequence, core and interface accessing, part of speech tagging, named entity recognition, conference resolution, and porter stemming. Some of the operations that are achieved by the application include arithmetic calculations based on voice commands and returning the computer result via voice, searching the internet based on user voice input, and providing a response via voice assistance.

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