VieNeu-TTS-v2

VieNeu-TTS-v2 TT TT TTT TTT T TT TT T T TTT TTT TTT

A Vietnamese-first, CPU-only model with en-vi code-switching, 7 regional preset voices, and zero-shot cloning.

签名 对 5,000 字符限制的 5 000 个字符

在 SSML 标记中折行文本以精确控制 :

<speak><prosody rate="slow">Slow speech</prosody></speak>

标记选中模式的理解度 - 单击将一个输入到文本中, 发生时 :

这个模型读的是简单的文字, 所以内嵌标签会被忽略。 对于基于标签的情感, 请切换到像 Orpheus 或 Bark 这样的表达模式 。

定义自定义发音( Word = 发音) :

-12 +12
0.5x 2.0x
免费的管道、VITS、MelotTS
您生成的音频将在此显示。 选择一个模型, 输入文本, 并单击生成 。
音频生成成功
0:00
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免费:个人使用。 5美元/美元商业许可证
使这个声音成为你自己的声音 30秒后打开声音
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关于 VieNeu-TTS-v2

VieNeu-TTS-v2 is a 300M-parameter Vietnamese-first model built on a Qwen3 backbone and trained on more than 10,000 hours of bilingual data. It handles seamless English-Vietnamese code-switching, ships 7 preset voices spanning Northern and Southern accents, and clones a voice instantly from just 3-5 seconds of reference audio. Notably it runs entirely on CPU — using GGUF Q4 inference plus an ONNX audio decoder — with no GPU required, finishing a generation in about 7 seconds. It's purpose-built for Vietnamese content and bilingual en-vi narration, an underserved niche in open TTS.

最佳: Vietnamese content and bilingual en-vi narration

全部浏览 VieNeu-TTS-v2 声音

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开发者
Phạm Nguyễn Ngọc Bảo
许可证
Apache 2.0
级别
standard
速度
fast
语音克隆
语言
Vietnamese, English
最大字符
1000

VieNeu-TTS-v2 声音

Bích Ngọc (North, Female)

Vietnamese
标准 Female

Phạm Tuyên (North, Male)

Vietnamese
标准 Male

Thanh Bình (North, Male)

Vietnamese
标准 Male

Thái Sơn (South, Male)

Vietnamese
标准 Male

Thục Đoan (South, Female)

Vietnamese
标准 Female

Trúc Ly (North, Female)

Vietnamese
标准 Female

Xuân Vĩnh (South, Male)

Vietnamese
标准 Male

VieNeu-TTS-v2 TTS - 常见问题

Yes. VieNeu-TTS-v2 runs entirely on CPU via GGUF Q4 inference and an ONNX audio decoder — no GPU needed — and completes a generation in around 7 seconds.

It is Vietnamese-first with English support and seamless en-vi code-switching. It ships 7 preset voices spanning Northern and Southern Vietnamese accents.

Yes. It supports instant zero-shot voice cloning from just 3-5 seconds of reference audio. It is Apache 2.0 licensed and free to use commercially.
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