LanguageSense
Know what language is on air. Every channel, every track.
Continuous spoken language identification across your live feeds, with alarms the moment the audio stops matching what the track should carry.
Wrong-language audio is one of the most visible faults a broadcaster can put to air, and one of the hardest to catch by ear across dozens of channels. LanguageSense listens to every track continuously, identifies the spoken language in sub-minute windows, and raises an alarm when reality stops matching the plan.
Built for your facility
Your content stays in your facility.
- Cloud and on-prem
- Live and file-based
- Private local AI models
Watch LanguageSense catch a wrong-language event
Recorded from a live session. What you see is the product.
A track drifts from its expected language. The alarm fires, the operator acknowledges, the feed recovers, the alarm resolves itself.
Nobody can listen to forty channels at once
Multi-language operations put the wrong audio to air more often than anyone likes to admit: a mislabeled track, a failed switch, an upstream feed that changed without notice. By the time a viewer complaint reaches the MCR, the fault has been on air for minutes.
LanguageSense is the operator who never takes their headphones off. It knows what language every track should carry and says something only when that stops being true.
How it works
Tap every track
LanguageSense monitors each audio track of each channel independently, including mono, stereo, and dual-mono layouts.
Identify continuously
Spoken language is identified in sub-minute windows tuned for playout monitoring, where a fast, confident answer matters more than a transcript.
Compare against the plan
Each track carries an expected language. Divergence raises an alarm.
Alarm with discipline
Alarms fire, get acknowledged, can be snoozed with a countdown, and resolve themselves when the audio recovers.
Capabilities
Per-track identification
Multichannel, multi-language feeds monitored track by track, not channel by channel.
Language-mismatch alarms
Expected language per track, alarms on divergence, full lifecycle from first fire to self-resolution.
Built against alarm fatigue
Healthy feeds stay quiet. Problems surface in one place, once, with the context to act.
Fleet-wide health view
One screen answers "is anything wrong anywhere," which is the only question that matters at 3 a.m.
Skills are coming to LanguageSense
Every Sense ships with its core capabilities. Skills extend it, switchable per track, priced only when you turn them on.
Daypart Language Plans
Expected language by schedule, for channels that legitimately change language through the day.
Dialect Identification
Distinguish closely related languages and regional variants where the difference matters.
Track-Map Verification
Confirm the whole track layout matches the plan, not just the language on each track.
Want early access to a Skill? Tell us in the demo.
In production at a Tier 1 US media company, monitoring live channels around the clock.
Signal chain
In
SRT, RTMP, MPEG-TS, HLS, and file-based content including MXF.
Out
Mismatch alarms in the Sense UI, plus a REST API and real-time event stream your monitoring stack can subscribe to.
Runs where you run
Every Sense runs on private local AI models, on your hardware or in your cloud account. Nothing is sent to a third-party inference service, ever. Deployments range from a single GPU server to a rack, sized to your channel count. We spec the hardware with your engineering team before anything ships.
Questions
See LanguageSense on your content
Demos run on your content: live streams or files. Bring a sample and watch it work.