Web-Based Voice Management System Using Text-to-Speech Synthesis and Django Framework

Abstract

The rapid advancement of web technologies and artificial intelligence has led to the
development of intelligent systems capable of enhancing user interaction through speechbased
interfaces. Text-to-Speech (TTS) systems play a crucial role in enabling machines
to convert textual content into human-like speech, thereby improving accessibility and
user experience. This project presents a web-based voice management system that allows
users to generate, manage, and download synthesized speech using a Django-based
framework.
The system is designed to provide a seamless platform where users can create
personalized voice profiles and generate audio content from textual input. It integrates a
speech synthesis engine that processes user-provided text and converts it into audio files
with customizable parameters such as speed, pitch, and volume. This customization
enhances the naturalness and flexibility of generated speech.
The application follows a modular architecture, separating user interface, application
logic, and audio processing components. The Django framework is used to handle
backend operations, including user authentication, request handling, and database
management. The system supports multiple voice profiles, enabling users to organize and
manage their generated audio files efficiently.
One of the key features of the system is its ability to dynamically generate and store
audio files. Users can create voices, view recently generated audio, search and filter voice
records, and download audio files for offline use. The system also ensures proper file
handling and cleanup to optimize storage utilization