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
- Adona Shibu, Aarunya Retheep, Albin Joseph, Ali Jasim, Adona Shibu , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- V Naveen, S Rekha, A Concise Review On E-Commerce Website For Visually Impaired , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Adithya Satheesh, Ashwin S Nair, Darren Padamittam Jacob, Athul Rajeev, Er. Maheshwary Sreenath, Intrusion Countermeasure System , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Adithya Satheesh, Ashwin S Nair, Darren Padamittam Jacob, Athul Rajeev, Er. Maheshwary Sreenath, Intrusion Countermeasure System , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- K.M Gishma, K.B Annmaria , V.N Ramna Parvan , Anagha Suresh, Athira Shaji, LIP READING AND PREDICTION SYSTEM BASED ON DEEP LEARNING , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Fabeela Ali Rawther, Akhil P Dominic, Alan James, Christy Chacko, Elena Maria Varghese, Early Detection of Attention Deficiency Using ML , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- Dr Anil A R, Amit Sankar Arun, Anandhu Anilkumar, Anandu S Sivan, Anoop Manoharan, DESIGNING OF A VOICE – BASED PROGRAMMING IDE FOR SOURCE CODE GENERATION , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Athulya Anilkumar, Abhinav V V, Aneeta Shajan, Anjana S Nair, Bini M Issac, R Neenu, Image Descriptor For Visually Impaired , International Journal on Emerging Research Areas: Vol. 3 No. 1 (2023): IJERA
- FATHIMA P.S, ANU ROSE JOY, ANSPIN TITUS, ANSU MARIUM SHIBU, ASNA AZEEZ, INDIAN SIGN LANGUAGE RECOGNITION USING YOLOV5 , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
- Asha Joseph, Deep Learning for Cyber Threat Detection , International Journal on Emerging Research Areas: Vol. 4 No. 1 (2024): IJERA
You may also start an advanced similarity search for this article.