Development and Evaluation of a Speech-Recognized Voice Bot

In recent years, there have been significant advancements in speech recognition technology, which have opened up new possibilities for voice-controlled applications and devices. This report presents the design, development, and evaluation of a Speech-Recognized Voice Bot (SRVB) that aims to enhance user interactions with technology through natural language processing. The SRVB utilizes cutting-edge speech recognition algorithms and machine learning techniques to convert spoken language into actionable commands. The methodology involves training a deep learning model on a large dataset of speech samples and conducting user experiments to assess its performance. The results indicate that the SRVB demonstrates promising accuracy and usability, making it a valuable tool for a wide range of applications.