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Free CPU Tutorial | Achieving 8.8k Stars, the Supertonic-3 TTS Model Has Only About 99M Parameters and Supports 31 languages.
As generative AI continues to evolve towards multimodal approaches, TTS (Text-to-Speech) is gradually shifting from "cloud-based capabilities" to "local capabilities." In the past, high-quality TTS systems often relied on large models, cloud-based inference, and complex deployment processes. While this provided natural speech, it also introduced issues related to latency, cost, and privacy. Especially in scenarios such as mobile devices, browsers, and edge hardware, achieving real-time, high-quality, multilingual speech generation with lower resource consumption is becoming a new focus for the industry.
In May of this year,The Supertone team has open-sourced Supertonic-3, a lightweight multilingual text-to-speech model, which has already garnered 8.8k stars on GitHub.This model is built on ONNX Runtime and supports fully local operation. It can complete real-time speech synthesis in a CPU environment without calling cloud APIs or relying on GPUs.
Compared to many current open-source TTS systems with billions of parameters, a notable feature of Supertonic-3 is that it is "small but complete".The entire model has only about 99 million parameters, yet it supports 31 languages, 10 preset timbres, and features capabilities such as long text segmentation, silence interval control, and emoji tags.For example, developers can... , , Tags such as [list of tags] add more natural emotions and pauses to the generated speech without the need for additional audio references or complex prompting engineering.
The official statement indicates that its inference speed is sufficient to convert an entire webpage into audio within one second, while directly outputting a high-quality 44.1kHz, 16-bit WAV file that can be played without additional post-processing. For developers looking to build local AI assistants, offline readers, voice broadcasting systems, or multilingual content tools, this type of "lightweight + multi-platform" solution is showing increasing appeal.
recently,The tutorial section of HyperAI's official website (hyper.ai) now features "Supertonic-3: A Lightweight Local Multilingual Speech Synthesis System," and the environment setup is complete.Experience high-quality TTS models for free using Free CPU.
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Demo Run
1. After entering the hyper.ai homepage, select the "Tutorials" page, or click "View More Tutorials", select "Supertonic-3: Lightweight Local Multilingual Speech Synthesis System", and click "Run this tutorial".
2. After the page redirects, click "Clone" in the upper right corner to clone the tutorial into your own container.
Note: You can switch languages in the upper right corner of the page. Currently, Chinese and English are available. This tutorial will show the steps in English.
3. Select "Free CPU" and "PyTorch" image, and click "Continue job execution".
HyperAI is offering a registration bonus for new users: for just $1, you can get 20 hours of RTX 5090 computing power (originally priced at $7), and the resources are valid indefinitely.
4. Wait for resources to be allocated. Once the status changes to "Running", click "Open Workspace" to enter the Jupyter Workspace.
Effect display
1. After the page redirects, click on the README file on the left, and then click on Run at the top.
2. Once the process is complete, click the API address on the right to jump to the demo page.
