The team behind KittenML released a new open-source text-to-speech (TTS) model named KittenTTS, marked as version 0.1. The model is designed to generate speech from text with a parameter size of 15 million, making it computationally efficient and suitable for deployment on devices with limited processing power.
The repository explicitly states that KittenTTS is a developer preview and not intended for production use at this stage. The model supports English input and can produce audio output without requiring a GPU, enabling inference on CPUs.KittenTTS is released under the MIT license, allowing unrestricted use, modification, and distribution of the code. The release includes pre-trained models, inference scripts, and instructions for converting text to speech using the included tools.
The GoML POV
The release of KittenTTS is a great example of the rapid pace of innovation in the open-source AI community. At goML, we see this as a validation of the generative AI landscape's growing potential. A small, efficient, and CPU-compatible TTS model like KittenTTS is a fantastic tool for developers and a sign of things to come.
However, from a business perspective, a "developer preview" like this is only the first step. Our focus is on taking these foundational technologies and building them into secure, scalable, and production-ready applications for our enterprise clients. A model like KittenTTS might be a great starting point, but a real-world solution requires much more: handling multiple languages, ensuring high-quality and consistent audio, building robust pipelines for deployment and management, and integrating with existing business systems.
That's where goML's expertise comes in. We bridge the gap between exciting new open-source models and the complex, real-world solutions that drive business value. We're excited to see what the community builds with KittenTTS and look forward to the next generation of generative AI models.
