MODEL PROFILE

sopro-v2-turbo

samuel-vitorino · sopro-v2-turbo

> **Compatibility:** Current model artifacts require `sopro>=2.2.0` or `@soprotts/onnx-web>=0.3.0`; upgrade with `pip install -U sopro` or `npm install @soprotts/onnx-web@latest`. Sopro (from the Portuguese word for "breath/blow") is a lightweight voice-cloning text-to-speech model family. This repo ships **sopro-v2-turbo**, a 120M-parameter open model that streams, runs comfortably on a laptop CPU or in the browser, and reaches SOTA-level intelligibility against much larger systems. The full story, evaluations, and audio samples are in the blog post. - **120M parameters** - **English, European Portuguese, French, and German** - **Streaming** with ~300 ms time-to-first-audio on a laptop CPU - **Zero-shot voice cloning** from 5-20 seconds of reference audio - **0.24 RTF offline / 0.21 RTF streaming** on an M3 CPU, 0.07 RTF on an H100 - **Runs in the browser** via an ONNX runtime

Speech synthesislicense:apache-2.0
Context windowNot disclosed
Input → OutputText → Audio
Model weightsNot verified
Profile updated2026/10/30 04:22:01
OVERVIEW

Model overview

> **Compatibility:** Current model artifacts require `sopro>=2.2.0` or `@soprotts/onnx-web>=0.3.0`; upgrade with `pip install -U sopro` or `npm install @soprotts/onnx-web@latest`. Sopro (from the Portuguese word for "breath/blow") is a lightweight voice-cloning text-to-speech model family. This repo ships **sopro-v2-turbo**, a 120M-parameter open model that streams, runs comfortably on a laptop CPU or in the browser, and reaches SOTA-level intelligibility against much larger systems. The full story, evaluations, and audio samples are in the blog post. - **120M parameters** - **English, European Portuguese, French, and German** - **Streaming** with ~300 ms time-to-first-audio on a laptop CPU - **Zero-shot voice cloning** from 5-20 seconds of reference audio - **0.24 RTF offline / 0.21 RTF streaming** on an M3 CPU, 0.07 RTF on an H100 - **Runs in the browser** via an ONNX runtime

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。