In: Design, user experience, and usability: design for contemporary technological environments.
Motta I, Quaresma M (2021) Understanding task differences to leverage the usability and adoption of voice assistants (VAs). IEEE Trans Inf Forensics Secur 15:3709–3721 J Eng Sci (JES) 12(7):333–335įeng Q, He D, Liu Z, Wang H, Choo KR (2020) SecureNLP: a system for multi-party privacy-preserving natural language processing. Jyothi CR, Beracah P, Gowtham M (2021) Voice assistant in accessing real world applications. In: 2020 international conference on electronics, information, and communication (ICEIC), pp 1–2 Kim T-K (2020) Short research on voice control system based on artificial intelligence assistant. In: 2021 second international conference on electronics and sustainable communication systems (ICESC), pp. Saibaba CMH, Waris SF, Raju SH, Sarma V, Jadala VC, Prasad C (2021) Intelligent voice assistant by using OpenCV approach. Janssen A, Passlick J, Cardona DR, Breitner MH (2020) Virtual assistance in any context: a taxonomy of design elements for domain-specific chatbots. In: 2020 fourth world conference on smart trends in systems, security and sustainability (WorldS4). Subhash S, Srivatsa PN, Siddesh S, Ullas A, Santhosh B (2020) Artificial intelligence-based voice assistant. IEEE Trans Neural Networks Learn Syst 32(4):1418–1432 Int J Modern Trends Sci Technol (IJMTST), 6(12):332–335Ĭui F, Cui Q, Song Y (2021) A survey on learning-based approaches for modeling and classification of human-machine dialog systems. Lalit Kumar (2020) Desktop voice assistant using natural language processing (NLP). The assistant will simplify the user’s work by allowing them to perform a task with just one voice command. In this paper, we have used the Naive Bayes classification algorithm for task classification which gave the best accuracy among KNN, logistic regression, random forest, decision tree, and SVM. The main job of an intelligent assistant is to classify the input into a task. As a result, we attempted to address this flaw in our project. The existing system is incapable of performing or executing custom commands. It is a digital assistant that employs voice recognition, speech synthesis, natural language processing, and classification algorithms to give exceptional service via an interface. In most cases, personal assistants will respond to questions and carry out tasks utilizing a natural language user interface.
#WINDOWS 10 VOICE TO TEXT SOFTWARE#
Voice assistant for windows is a software program or application that any windows user can make use of with the help of their voice just by saying what the user wants.
The majority of individuals prefer speech-to-text-based communication. Voice communication is the most convenient and efficient way to interact. An average individual can pronounce about 140 words per minute but only can type 40.
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