Text to speech concersion

Project Code :TCMAPY1468

Objective

The primary objective of this project is to create a user-friendly web-based platform that allows users to convert written text into speech effortlessly. By leveraging Python libraries for text-to-speech conversion, the project aims to provide a lightweight solution that requires no model training. The project’s interface will be designed using HTML, CSS, and JavaScript, ensuring that users can easily input text and listen to the speech output without complicated setup procedures. This application aims to support individuals with visual impairments by providing them with an easy method to access written content audibly. Additionally, the project seeks to provide a flexible platform that could be further expanded in the future to accommodate more advanced features such as multiple language support or enhanced speech quality. By focusing on simplicity, accessibility, and usability, this project aims to meet the needs of users across different demographics.

Abstract

Text to Speech Conversion

Abstract

Text-to-Speech (TTS) conversion is an essential technology that enables computers to read aloud written text, providing accessibility for visually impaired users and enhancing user experience across various applications. This project focuses on developing a web-based application that converts user-provided text into speech. The system comprises a front-end interface built using HTML, CSS, and JavaScript, while the back-end is powered by Python. The application follows a simple flow: users register, log in, input text, receive audio output, and log out. The core functionality relies on a Python library for text-to-speech conversion, eliminating the need for model training. The application aims to provide an intuitive and accessible method of converting written content into clear and natural speech.

Keywords: Text-to-speech, accessibility, Python, web application, HTML, CSS, JavaScript, conversion, audio output, user interface.

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.