Personal voiceAI: human-like voice assistant

Abstract

Voice assistant technology represents a significant advancement in human computer interaction, offering users a convenient and intuitive way of interacting with digital systems. This thesis aimed to provide voice capabilities using web development tools across different devices. The study includes a detailed analysis of the architecture, speech recognition algorithms, and user experience related to voice assistant web applications. Taking a multidisciplinary approach, insights from natural language processing, human computer interaction, and artificial intelligence were combined. The research for this thesis involves thoroughly examining academic sources, industry standards, and conducting practical experiments to uncover the challenges and possibilities in creating voice assistant applications.

The objectives of the thesis include providing a detailed explanation of voice assistant systems, conducting a critical review of existing and potential issues, and outlining the evolution of voice assistant technology. This research explores voice assistants' technical aspects, user experiences, and social impacts, emphasizing their potential to transform interactions with digital platforms. The project showcases practical application and innovation, demonstrating effective integration and deployment of voice assistant functionalities.