About Kokoro TTS

Kokoro TTS is an efficient text-to-speech model that delivers high-quality audio output while maintaining a remarkably small footprint. With just 82 million parameters and a file size of 350 MB, it provides state-of-the-art performance for various speech-based applications.

Key Features

• Small Size, High Performance: 350 MB file size with state-of-the-art output quality
• Multilingual Support: English (UK), French, Japanese, Chinese, and Korean
• Commercial Use: Licensed under Apache 2.0
• Low Training Requirements: Trained on less than 100 hours of audio data
• Efficient Training Costs: Trained on 8008 GB VRAM instances from Vast AI

How to Use Kokoro TTS

1. Access the Model: Available on Hugging Face in both ONNX and PTH formats
2. Try on Hugging Face Spaces: Test the model without any setup required
3. Local Installation: Run on your own hardware using Python and required dependencies
4. Cloud Deployment: Compatible with various cloud environments including Google Colab

Performance and Capabilities

Kokoro TTS excels in low-latency applications, generating audio in just seconds even on CPU hardware. It's ideal for real-time applications such as voice assistants, call centers, and interactive systems. The model performs consistently across supported languages, though there may be some limitations with mixed-language text and acronyms.