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ElevenLabs showcases multilingual AI voice technology with NVIDIA ACE at Computex

Keynote presentations traditionally required live translators or subtitles to support multiple languages, and NPC interactions in video games were brief and scripted, limiting immersion.

How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · AI voice clone creation
ElevenLabs creates an AI voice in under an hour from just seven minutes of recorded audio.
Tools used
ElevenLabsNVIDIA ACEACE NIM microservices
Outcome

Jensen Huang narrated his Computex keynote in both English and Mandarin using an AI voice created in under an hour from just seven minutes of audio. The partnership also enables human-like NPCs that react and adapt to gamers, praised by developers, journalists, and influencers for realism.

Results
Time savedunder an hour
Cost replacedseven minutes
Source

https://elevenlabs.io/blog/nvidia-ace-at-computex

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Grounding & classification
Source type: press release
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content generationconversational aipersonalizationvoice aimetric backednamed customerpeer confirmedproduction runtime claimedtools describedworkflow describedmediasoftwareemployee productivitypress releasemarketing ops