Seed LiveInterpret 2.0

Seed LiveInterpret 2.0

The SOTA performance of simultaneous interpretation models

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Seed LiveInterpret 2.0 by ByteDance is an end-to-end, speech-to-speech simultaneous interpretation model. It delivers human-level accuracy and ultra-low latency (2-3 seconds) for Chinese-English translation, with real-time voice replication.
Seed LiveInterpret 2.0 gallery image
Seed LiveInterpret 2.0 gallery image
Seed LiveInterpret 2.0 gallery image
Seed LiveInterpret 2.0 gallery image
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What do you think? …

Zac Zuo

Hi everyone!

The low latency and high quality of this simultaneous interpretation model are seriously impressive!

Seed LiveInterpret 2.0 is an end-to-end speech-to-speech system from the ByteDance Seed team. It can translate spoken Chinese and English in real time with a delay of just 2-3 seconds, which is close to human-level performance. It even replicates the speaker's voice in the translated language.

This model isn't open-source for now, so you need to use the API on Volcano Engine to access it. ByteDance's AI headset, Ola Friend, will also support this model soon, which I think will be the best use case for it.

It really feels like we are getting closer to the dream of near-synchronous, multilingual communication. It's like, thanks to AI, we are rebuilding the Tower of Babel!

Joey Judd

2-3 sec latency for real-time Chinese-English speech? That's wild, fr. The voice replication thing is next-level smart—feels like magic. Huge props to the ByteDance crew!

Zovie Hartwell

ByteDance's Seed 2.0 delivers near-zero delay translation, though technical terms need refinement

Suvam Deo

This is absolutely mind-blowing. Real-time speech-to-speech interpretation with voice replication at just 2–3 seconds latency? That’s basically teleporting thoughts across languages. The fact that it mirrors the speaker’s tone makes it feel super natural too. Can’t wait to see how this transforms live events, international business, and even travel.

Are there plans to support more language pairs beyond Chinese-English soon? Would love to see how this performs in, say, Spanish<>Arabic or Hindi<>French contexts.

Zac Zuo

@suvam_deo I think they start from EN-CN and more languages will be added soon!