Translation · Wake Word Detection
Translation & Localisation Data for Wake Word Detection
Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. Applied to wake word detection, the specification is driven by one thing: false accepts per hour.

- Service
- Translation
- Use case
- Wake Word Detection
- Primary metric
- False accepts per hour
Required data profile
- Thousands of speakers, few utterances each
- Positive and hard-negative sets
- Multiple distances and noise conditions
Technical specification
| Parameter | Standard |
|---|---|
| Direction | English to Indian languages and between Indian languages |
| Output | Sentence-aligned parallel corpora |
| Register | Formal, colloquial, or matched to your product tone |
| Review | Independent bilingual review pass |
| Terminology | Client glossary enforced and returned updated |

Process
- Glossary and register agreement
- Translation by native speakers of the target language
- Independent bilingual review
- Alignment verification
- Delivery with terminology report
Metrics this feeds
- False accepts per hour
- False reject rate per accent band
- Performance at 3m and 5m
Failure modes to design out
- Positives only, with no hard negatives
- Close-mic-only capture
- No accent-band tagging, so failures cannot be localised
Back-translation checks are run on a sample so you can see where source ambiguity, not translator error, causes divergence.
Deliverables
- Sentence-aligned parallel data
- Updated glossary
- Reviewer notes on ambiguous source
Frequently asked
Is translation the right service for wake word detection?
It covers thousands of speakers, few utterances each. Most wake word detection programmes combine it with at least one other service; we will say so in the scope rather than selling one line item.
What languages are available?
All 14 languages in the network plus Indian English accent bands.
How is the evaluation set handled?
Collected first, from speakers disjoint from the training cohort, so improvement is measurable.
Scope translation for wake word detection
Send the metric you need to move.