Voice Assistant Notepad

Abstract

Abstract: The notepad is made on the basic concept of a real-time voice to text conversion technology that translates said words into text exactly as the user pronounces them. We developed a real-time speech recognition system and tested it in normal surroundings. The system is made up of two parts: the first is for processing an acoustic signal acquired by a microphone, and the second is for interpreting the processed signal and translating it to words. We want a voice recognition system that is reliable and inexpensive and with a good efficiency in performance. This system allows us to take notes faster which helps us to increase productivity and maintain good work life balance at the same time. This helps people of all age groups such as kids to take down notes who find writing difficult, adults to note down paragraphs or important points more easily and elderly persons to make use of technology who find typing hard. The software program was created using an object-oriented analysis and design methodology, and it accomplishes Speech Recognition by detecting and also capturing the audio using the microphone on the device. Along with additional advantages, the suggested system decreased the note making duration to more than 50% depending on the user's speed. To address the present issues with note taking, we decided to take on and do the project.