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OmniVoice

k2-fsa · OmniVoice

OmniVoice is a massively multilingual zero-shot text-to-speech (TTS) model supporting over 600 languages. Built on a novel diffusion language model-style architecture, it delivers high-quality speech with superior inference speed, supporting voice cloning and voice design. - **Paper:** OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models - **Repository:** GitHub - **Demo:** Hugging Face Space - **Colab:** Google Colab Notebook - **600+ Languages Supported**: The broadest language coverage among zero-shot TTS models. - **Voice Cloning**: State-of-the-art voice cloning quality from a short reference audio. - **Voice Design**: Control voices via assigned speaker attributes (gender, age, pitch, dialect/accent, whisper, etc.). - **Fine-grained Control**: Non-verbal symbols (e.g., `[laughter]`) and pronunciation correction via pinyin or phonemes. - **Fast Inference**: RTF as low as 0.025 (40x faster than real-time). - **Diffusion Language Model-style Architecture**: A clean, streamlined, and scalable design that delivers both quality and speed.

译文排队中,当前展示来源原文。

上下文窗口来源未披露
输入 → 输出文本 → 音频
模型权重开放权重
档案更新时间2026/11/2 19:16:50
OVERVIEW

模型介绍

OmniVoice is a massively multilingual zero-shot text-to-speech (TTS) model supporting over 600 languages. Built on a novel diffusion language model-style architecture, it delivers high-quality speech with superior inference speed, supporting voice cloning and voice design. - **Paper:** OmniVoice: Towards Omnilingual Zero-Shot Text-to-Speech with Diffusion Language Models - **Repository:** GitHub - **Demo:** Hugging Face Space - **Colab:** Google Colab Notebook - **600+ Languages Supported**: The broadest language coverage among zero-shot TTS models. - **Voice Cloning**: State-of-the-art voice cloning quality from a short reference audio. - **Voice Design**: Control voices via assigned speaker attributes (gender, age, pitch, dialect/accent, whisper, etc.). - **Fine-grained Control**: Non-verbal symbols (e.g., `[laughter]`) and pronunciation correction via pinyin or phonemes. - **Fast Inference**: RTF as low as 0.025 (40x faster than real-time). - **Diffusion Language Model-style Architecture**: A clean, streamlined, and scalable design that delivers both quality and speed.

主要特点

特点摘要待依据来源补齐,不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价,不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价,请查阅来源渠道。

按月估算基础 Token 费用

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预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

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。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用?

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗?

不是实时结算价格,而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

许可证:未声明,须核验模型卡。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。