International Scientific Journal of Engineering and Management

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ISSN: 2583-6129

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Voice Web : Your Intelligent Virtual Assistant

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Voice Web : Your Intelligent Virtual Assistant

Kushal K., Manikanta H. M., Mithun D. Raj., Mownith H. S., Dr. Keerti Kumar H. M

Department of CSE, Malnad College of Engineering, Hassan.

 

Abstract: — Automatic voice-controlled systems have changed the way humans interact with a computer. Voice or speech recognition systems allow a user to make a hands-free request to the computer, which in turn processes the request and serves the user with appropriate responses. After years of research and developments in machine learning and artificial intelligence, today voice-controlled technologies have become more efficient and are widely applied in many domains to enable and improve human-to human and human-to-computer interactions. The state-of-the-art e-commerce applications with the help of web technologies offer interactive and user-friendly interfaces. However, there are some instances where people, especially with visual disabilities, are not able to fully experience the serviceability of such applications. A voice-controlled system embedded in a web application can enhance user experience and can provide voice as a means to control the functionality of doctor’s appointment booking websites. In this paper, we propose the integration of Alan AI enabled natural language processing capabilities, allowing users to navigate through tabs and pages using voice commands. This intuitive interface enhanced user experience and accessibility, making it easier for users to find relevant information and schedule appointments seamlessly. Additionally, Annyang, a JavaScript library for speech recognition, was employed to streamline the appointment booking process. Users could verbally input their details into the appointment form, such as name, contact information, and preferred appointment time, reducing manual input and improving efficiency.

Keywords: Alan AI, Anyang, Speech-to-text, Natural Language Processing, Speech Recognition Systems (SRS).


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