Kitten TTS AI Voice

KittenTTS Web & API Interface



Overview

This project provides a modern, production-ready web interface and custom API for KittenTTS, an ultra-lightweight and lightning-fast Text-to-Speech (TTS) model. By deploying the core model to Hugging Face and building a dedicated API routing layer, this project allows users to generate expressive, real-time speech directly from a sleek frontend without needing local compute power.



About the Underlying Engine (KittenTTS)

Originally developed by KittenML, KittenTTS is an open-source model engineered to be incredibly efficient.

• Ultra-Compact: The nano-int8 model utilized in this project is extremely lightweight, taking up less than 25MB of space with around 15 million parameters.
• CPU-Optimized: It uses an optimized runtime that enables fast, high-quality audio generation without requiring GPUs.
• Expressive Output: Supports natural-sounding voices (such as "Bella") with clear pronunciation and smooth pacing.

My Implementation & Architecture



Hugging Face Model Deployment:

The quantized nano-int8 model is hosted and executed via Hugging Face, serving as the scalable backend engine for audio synthesis.



Custom REST APIs:

A robust custom API layer is built to handle incoming text requests from the frontend, communicate with the Hugging Face deployment, and return generated audio streams with minimal latency.



Interactive Web Interface:

A clean and user-friendly frontend allows users to type text, select voice models, and adjust speech speed (0.5x to 2.0x) before generating the final audio output.



Developer: Badar Bukhari

Domain: AI Tools & Full-Stack Web Development