Live speech-to-speech dubbing
News and live programming reaching additional language audiences in real time instead of waiting on a human relay, including night slots that were never covered.
Broadcasters run on deadlines measured in seconds. OrOn ships real-time speech-to-speech dubbing with per-anchor voice cloning, semantic search across decades of archive audio, and voice agents for audience call-in, all deployable on your own infrastructure.
Live output, archive value and audience contact, the three places where voice AI produces measurable return in a media organisation.
News and live programming reaching additional language audiences in real time instead of waiting on a human relay, including night slots that were never covered.
Each presenter keeps a consistent voice identity across languages, with consent-based cloning and a human override desk on the live path.
Decades of untagged radio and television audio transcribed, speaker-diarised and semantically searchable. Researchers find a quote in seconds instead of days.
Phone-in shows, competitions and audience feedback lines answered at scale without a bank of operators, with instant transcript for the producer.
Live and post subtitles, automatic chaptering, topic tagging and rights-relevant metadata generated from the audio itself.
Runs on the broadcaster's own GPU cluster. Pre-broadcast material never leaves the building, which matters for embargo and rights compliance.
Nothing goes to air without a human able to stop it.
Live feed or archive file enters the pipeline on your own hardware.
Transcription, speaker diarisation and semantic understanding, tuned to your domain vocabulary.
Translated speech in the cloned presenter voice, or subtitles, or search index, depending on the workflow.
The gallery desk monitors and can cut, correct or drop to a fallback feed instantly.
Only with explicit, documented consent from the presenter, and only for the languages and contexts agreed. Cloned models are scoped to your deployment, never shared, and deleted on request. A human override desk sits on every live path.
Yes, the live pipeline runs continuously rather than in blocks, which is what removes the lag a human dubbing relay introduces. Presenter speech, translation and synthesis happen continuously rather than in blocks.
97% word accuracy on clean archive audio, lower on degraded historical tape, which we handle with restoration pre-processing. Speaker diarisation and semantic indexing run on top so researchers can search by meaning, not just keywords.
Not if you deploy on-premise, which is the norm for broadcasters. The full stack runs on your GPU cluster with no external calls, necessary for embargoed and rights-restricted material.
Yes. Political figures, place names, sports terminology and station-specific vocabulary are loaded as a domain lexicon during deployment and updated continuously.
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