Desktop Voice Assistant for Visually Impaired

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Bibliographic Details
Title: Desktop Voice Assistant for Visually Impaired
Authors: Ankush Yadav, Aman Singh, Aniket Sharma, Ankur Sindhu, Umang Rastogi
Contributors: Blue Eyes Intelligence Engineering and Sciences Publication(BEIESP)
Publisher Information: Zenodo
Publication Year: 2020
Collection: Zenodo
Subject Terms: Python script, speech recognition, voice assistant Abbreviation: API (Application program interface), NLP (natural language processing), TTS (Text-To-Speech)
Description: A personal voice assistant is the software that can perform task and provide different services to the individual as per the individual’s dictated commands. This is done through a synchronous process involving recognition of speech patterns and then, responding via synthetic speech. Through these assistants a user can automate tasks ranging from but not limited to mailing, tasks management and media playback. As the technology is developing day by day people are becoming more dependent on it, one of the mostly used platform is computer. We all want to make the use of these computers more comfortable, traditional way to give a command to the computer is through keyboard but a more convenient way is to input the command through voice. Giving input through voice is not only beneficial for the normal people but also for those who are visually impaired who are not able to give the input by using a keyboard. For this purpose, there is a need of a voice assistant which can not only take command through voice but also execute the desired instructions and give output either in the form of voice or any other means.
Document Type: article in journal/newspaper
Language: English
ISSN: 2277-3878
Relation: https://zenodo.org/records/5851970; oai:zenodo.org:5851970; https://doi.org/10.35940/ijrte.A2753.079220
DOI: 10.35940/ijrte.A2753.079220
Availability: https://doi.org/10.35940/ijrte.A2753.079220
https://zenodo.org/records/5851970
Rights: Creative Commons Attribution 4.0 International ; cc-by-4.0 ; https://creativecommons.org/licenses/by/4.0/legalcode
Accession Number: edsbas.FE13E882
Database: BASE
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