Year: 2025
Type: article
Abstract: The AI Voice Synthesizer is an advanced real-time, multilingual voice cloning system that utilizes state-of-the-art deep learning techniques to generate personalized speech with high naturalness and accuracy. Built on the open-source Coqui.ai’s XTTSv2 framework, the system enables users to synthesize speech using their own voice—or any voice sample—by analyzing just a few seconds of audio. It then uses this voice profile to generate natural-sounding speech in multiple languages, even those the original speaker has never spoken, offering a revolutionary leap in the field of synthetic speech and human-computer interaction. Traditional text-to-speech (TTS) systems often suffer from robotic tone, lack of personalization, limited language support, and high latency. In contrast, this project provides a lightweight, low-latency (<200 ms), and user-friendly platform that supports cross-lingual, few-shot voice cloning. Designed with modularity in mind, the system consists of several independent components: speaker embedding extraction, multilingual text processing, real-time speech synthesis, and a web-based front end. These components are integrated into a seamless workflow that is intuitive and accessible for non-technical users, while also being scalable and customizable for developers and researchers.
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410240797