INTELLIGENT BUDDY
Abstract
Software agents known as voice assistants are able to understand human speech and answer with synthetic voices. The most well-known voice assistants, which are built into smartphones or specific home speakers, are Apple’s Siri, Amazon’s Alexa, Microsoft’ Cortana, and Google’s Assistant. Users can use voice commands to manage other basic chores like email, to-do lists, and calendars, as well as ask inquiries of personal assistants, operate home automation devices, and playback of media. By holding and analysing information in the context of the user, this engages the capacity for social communication through natural language processing. This research will examine the fundamental operations and typical characteristics of voice assistants in use today. The currently used system operates online and is kept up by a third party. This program will safeguard personal information from others and use the local database, speech recognition and synthesizer.
Keywords:
Speech recognition system, Voice assistants, Machine LearningPublished
Issue
Section
License
Copyright (c) 2023 International Journal on Emerging Research Areas

This work is licensed under a Creative Commons Attribution 4.0 International License.
All published work in this journal is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This license permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
How to Cite
Similar Articles
- Goutham P Raj, Gregan George, Hadii Hasan, John Ashwin Delmon, V Pradeeba, COMPREHENSIVE VEHICLE SERVICES & E-COMMERCE PLATFORM WITH PRICE PREDICTION USING ML , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Betzy Babu Thoppil, Anugrah Premachandran, Annapoorna M, Ashwin Mathew Zachariah, Bala Susan Jacob, Advanced Sensor-Based Landslide and Earthquake Detection and Alert System Utilizing Machine Learning and Computer Vision Technologies , International Journal on Emerging Research Areas: Vol. 4 No. 2 (2024): IJERA
- Ryan Leo , Mathews P Jose, Eirene Nikky , Lloyd Micheal, Chinnu Edwin A , Controlling a Mini Game using a Brain-Computer Interface , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Nikita Niteen , Simy Mary Kurian, Exploring Explainable AI, Security and Beyond : A Comprehensive Review , International Journal on Emerging Research Areas: Vol. 3 No. 2 (2023): IJERA
- Lida K Kuriakose, Misha Rose Joseph, R Namitha, Sheezan Niby, Tanver Ahmad Lone, Lip Reading and Reconstruction using ML , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Athira Sankar, Sajishma S R, Alan Raj, Vaishnavi A K, Reshmi S Kaimal, Hydro Sense: Empowering Water Quality Monitoring Through IoT And ML , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Elsa George , Alphonsa Francis, Anna Job, Ann Maria James, Shiney Thomas, YOLOv8-Driven Approach for Wildlife Detection and Recognition , International Journal on Emerging Research Areas: Vol. 5 No. 1 (2025): IJERA
- Dr. Indu John, Gauri Santhosh, Jesna Susan Reji, Abdul Musawir, Glady Prince, Detection of Autism Spectrum Disorder in Toddlers using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Tom Kurian, Ektha P S, Chethana Raj T, Diona Joseph, Annu Mary Abraham, Intelligent Disease Prediction in Hydroponic Systems Using Machine Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Amith Bino, Don Peter Joseph, Sreehari P, Anchal J Vattakunnel, Revolutionizing Nutritional Management Through Food Scanning And Object Detection: A New Android Application For Adults , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.
