Spark-TTS-Kazakh

Kazakh Spark-TTS Model

Fine-tuned Spark-TTS model for high-quality Kazakh language text-to-speech synthesis with voice cloning capabilities.

Model Description

This model is specifically optimized for Kazakh language TTS, supporting both Cyrillic and Tote Zhazu (Arabic) scripts. It provides natural-sounding speech synthesis and voice cloning with just 3-10 seconds of reference audio.

Key Features

• 🎯 High-Quality Kazakh TTS: Natural and fluent speech synthesis
• 🎤 Voice Cloning: Clone any voice with 3-10 seconds of reference audio
• 📝 Dual Script Support: Cyrillic and Tote Zhazu scripts
• ⚡ Fast Inference: Optimized for real-time generation

Model Specifications

🚀 Full Application

For complete usage with REST API, web interface, and automatic script conversion:

👉 GitHub Repository: Spark-TTS-Kazakh

The GitHub repository includes:

• ✅ FastAPI REST API server
• ✅ Web-based user interface
• ✅ Complete documentation and examples
• ✅ Easy installation and deployment

🛠️ Model Components

This repository provides all essential components required for inference:

• BiCodec: Audio encoding/decoding module.
• LLM: The core inference engine.
• wav2vec2-large-xlsr-53: Feature extraction module for voice cloning.

📝 License & Attribution

This project is built upon the Spark-TTS framework and is distributed under the CC BY-NC-SA 4.0 license.

Attribution:

1. The base model and architecture were developed by the SparkAudio team.
2. Kazakh-specific fine-tuning and tool development were performed by allssai.

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Disclaimer: This model is intended for research and educational purposes only. Commercial use of this model or its derivatives is strictly prohibited under the NC (Non-Commercial) clause.