Text2Speech AI Application

Text2Speech AI is a powerful generative application that transforms user-input text into lifelike spoken audio using advanced natural language processing and speech synthesis models. Designed to provide high-quality, natural-sounding voice output, the app utilizes a combination of large language models (LLMs) and text-to-speech (TTS) engines to generate context-aware, expressive audio. The application is built using tool such as Gradio for a user-friendly frontend, while Google Colab supports the backend environment for fast prototyping and scalability. It leverages Hugging Face models for TTS tasks, integrates RAG (Retrieval-Augmented Generation) for improved text interpretation, and uses PyTorch, Torchaudio, and SoundFile for audio processing and output. By combining these cutting-edge technologies, Text2Speech AI enables real-time, natural voice generation suitable for educational tools, accessibility applications, audiobooks, and voice assistants.