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
- Parvathy V A, Irfana Parveen C A, Alisha K A, Reshma P R, Manu Krishna C P, Detection of Diabetic Retinopathy and Glaucoma using Deep Learning , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Dr. S. Perumal Sankar, P K Renjith, Ahammed Suhail P.I, Aswathy P S, Nithya Mary K J , Sharon K J, iAssist – An Intelligent Reading Assistant for Visually Impaired , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Adams Mathew, Adithya Sanil, Akhil J Medackal, Nikhil J Medackal, Dyni Thomas, A Literature Review on IMAGE FORGERY DETECTION , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Linsa Mathew, Brain Tumor Detection , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Mrs.Resmipriya M G, Aakarsh P, Abel VJ, Deepak Denny David, Francis Tom, Wise Care: A Comprehensive Mobile Application with Conversational Chatbot and Medical Assistance , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Anishamol Abraham, Niya Joseph, State-of-the-Art Techniques for Image Forgery Detection: A Review , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Anu Rose Joy, An overview of Fake News DetectionusingBidirectional Long Short-TermMemory(BiLSTM)Models , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Jyothika Anil, Milan Joseph Mathew, Namitha S Mukkadan, Reshmi Raveendran, Rintu Jose, Driver Drowsiness Detection Using Smartphone Application , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Nihal Anil, Ms. Nighila Abhish, Jesila Joy , Noora Sajil , P R Vishnuraj, Augmented Neat Algorithm For Enhanced Cognitive Interaction (NEAT-X) , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Romal Raju, Sandra Madhu, TS Athulya, Rekha K S, Aparna Unni, Smart Meter using Blockchain , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
You may also start an advanced similarity search for this article.