PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
April 16, 2026Scientific and analytical journal «Vestnik Saint-Petersburg university of State fire service of EMERCOM of Russia»0 citations

Chatbot Voice Module as a Means of Interaction With People With Disabilities

GOGalina OchkurNVNatal'ya VishtakVGVladislav Grachev

Key Points

  • The research aims to enhance interaction for individuals with disabilities through a voice-enabled chatbot, improving access to information and services.
  • Developed an autonomous speech recognition system for a chatbot
  • Implemented a local web application with voice input
  • Conducted testing of speech recognition capabilities
  • The chatbot successfully facilitates voice interaction without third-party cloud access
  • Results indicate improved access to digital services for users with disabilities
  • Positive feedback on the efficacy of speech recognition technology

Abstract

The development of digitalization and the introduction of information technologies into human daily activities, including artificial intelligence, machine learning and chatbots, is changing the landscape of interaction with the outside world for people with disabilities, who face serious difficulties in accessing information on a daily basis, which significantly limits their educational, economic and social opportunities. Chatbots represent a promising alternative to classical communication, as they can provide personalized information and support in the process of obtaining information. The article discusses the possibilities of speech recognition technology. The results of the design and implementation of an autonomous speech recognition system for a chatbot are presented, the purpose of which is to increase the availability of digital services for users with disabilities. The main focus is on substantiating the architectural and functional solutions of a web application with voice input of user requests. The results of speech recognition testing by the module are presented. The developed application solution combines voice input, automatic speech recognition and the generation of responses to user requests, which provides a full cycle of voice interaction in a local web application without the need to access third-party cloud services.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Ochkur et al. (2026) studied this question.

synapsesocial.com/papers/69e07e3b2f7e8953b7cbf42fhttps://doi.org/10.61260/2218-130x-2026-1-126-134
Ask AI
Helpful
Bookmark
Share
View Full Paper