Speech to Text by Using the Sindhi Language

Abstract

We live in the era of technology, and advancement in technology is growing exponentially. In Pakistan, especially in Sindh, many people prefer to speak than write. People are not well aware of computational and other global languages. So, that's why they face so many difficulties typing and then converting it into the Sindhi language. Especially in offices/organizations where Sindhi is the first language used in speaking and typing. There drafting huge consumes too much time. They face many difficulties such as finding spelling correct words and so on. People with medical deficiencies and disabilities will also get a beneficial source of help from this tool. This tool can handle all these difficulties and solve all the discussed problems. This project aims to develop a web-based application that tries to overcome the disadvantages of the other available applications. The application is generic, meaning it may work solely for a specific regional language speaker in any country in the world. The main objective of the work presented throughout this report is to develop an enterprise and open platform for the nation. We are using the Convolutional Neural Network and API in the development phase. Advance python libraries detect the user's speech, and then the conversion will take one into text.