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VieNeu-TTS-v2

Phạm Tuyên (North, Male)

Standard Vietnamese Male VieNeu-TTS-v2

Phạm Tuyên (North, Male) is a male AI voice powered by the VieNeu-TTS-v2 text-to-speech model. This standard-tier voice speaks Vietnamese and delivers high-quality speech synthesis. With near-instant generation speed and a quality rating of 4/5, Phạm Tuyên (North, Male) is well-suited for vietnamese content and bilingual en-vi narration. The VieNeu-TTS-v2 engine is developed by Phạm Nguyễn Ngọc Bảo under the Apache 2.0 license, making it safe for commercial use. Key capabilities include: 7 preset voices (north + south accents), en-vi code-switching, voice cloning (3-5s reference), podcast / multi-speaker support, cpu-only — no gpu required. The VieNeu-TTS-v2 model also supports voice cloning — upload a short audio sample to create a custom voice that retains the same quality characteristics.

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VieNeu-TTS-v2Model Information

Model VieNeu-TTS-v2
Developer Phạm Nguyễn Ngọc Bảo
Quality
Speed Fast
License Apache 2.0
Cloning Supported
Tier Standard (2x characters)
Parameters 0.3B
Architecture Qwen3 + GGUF + ONNX decoder
Training Data 10000 hours
Year 2026

Best Use Cases for Phạm Tuyên (North, Male)

Recommended applications based on this voice's characteristics

Audiobooks & Narration

Use Phạm Tuyên (North, Male) to narrate long-form content with natural prosody and expression.

Video Voiceovers

Add professional narration to YouTube videos, ads, and social media content.

Apps & Accessibility

Fast generation makes this voice ideal for real-time apps, screen readers, and accessibility tools.

Custom Brand Voice

Clone this voice style with your own audio to create a unique branded TTS voice.

More VieNeu-TTS-v2 Voices

Other voices from the same TTS model

Bích Ngọc (North, Female)

Vietnamese Female

Thanh Bình (North, Male)

Vietnamese Male

Thái Sơn (South, Male)

Vietnamese Male

Thục Đoan (South, Female)

Vietnamese Female

Trúc Ly (North, Female)

Vietnamese Female

Xuân Vĩnh (South, Male)

Vietnamese Male
View all VieNeu-TTS-v2 Voices

Frequently Asked Questions

VieNeu-TTS-v2 is a 300M parameter Vietnamese-first TTS model trained on 10,000+ hours of bilingual data. It supports seamless en-vi code-switching, 7 preset voices spanning Northern and Southern accents, and instant voice cloning from 3-5 seconds of reference audio. Runs entirely on CPU via GGUF Q4 inference + ONNX audio decoder — no GPU needed, generations finish in ~7 seconds. Built on a Qwen3 backbone.

VieNeu-TTS-v2 was developed by Phạm Nguyễn Ngọc Bảo and is released under the Apache 2.0 license, which permits commercial use of generated audio.

VieNeu-TTS-v2 supports 2 languages: Vietnamese, English.

VieNeu-TTS-v2 is in the Standard tier — 2 credits per 1,000 characters. You can preview any VieNeu-TTS-v2 voice for free before generating full audio.

VieNeu-TTS-v2 has very fast generation speed. It runs in near real-time, making it suitable for streaming and interactive applications.

VieNeu-TTS-v2 is rated 4/5 for audio quality on TTS.ai. It produces high-quality, natural-sounding speech.

Yes, VieNeu-TTS-v2 supports zero-shot voice cloning. Upload 5-30 seconds of reference audio to create a custom voice.

Yes, VieNeu-TTS-v2 is specifically recommended for vietnamese content and bilingual en-vi narration. Its 7 preset voices (north + south accents), en-vi code-switching, voice cloning (3-5s reference) capabilities make it an excellent choice for this use case.

Yes, VieNeu-TTS-v2 is licensed under Apache 2.0, which allows commercial use. Audio generated with VieNeu-TTS-v2 voices can be used in videos, podcasts, apps, games, and any other commercial project.

Yes, all voices on TTS.ai use commercially-licensed open-source models (MIT, Apache 2.0). The generated audio is yours to use in videos, podcasts, apps, games, and any other commercial application.

Send a POST request to /api/v1/tts/ with the model name and voice ID. See our API Documentation page for code examples in Python, JavaScript, Go, and cURL.

Yes, click the play button on this page to hear a sample. You can also type custom text on the Text to Speech page and generate a free preview with any voice.

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