AI Data Companies · Wake Word Detection
Wake Word Detection Data for AI Data Companies
Data vendors and labelling platforms that win Indian-language work and need a delivery partner on the ground who works to their spec and under their brand. Training and hardening a device wake word against Indian phonetics, background noise and near-miss phrases.
- Buyer
- AI Data Companies
- Use case
- Wake Word Detection
- Metric
- False accepts per hour
Where the two meet
Indian-language capacity is hard to build remotely, especially outside metros That is a wake word detection problem, and it is solved by data shaped like this:
- Thousands of speakers, few utterances each
- Positive and hard-negative sets
- Multiple distances and noise conditions
Your evaluation criteria
- Will the partner work to our specification and schema exactly?
- Is the partner willing to work white-label under our client relationship?
- Is the QA report detailed enough to hand to our client unchanged?
Metrics
- False accepts per hour
- False reject rate per accent band
- Performance at 3m and 5m
Pitfalls
- Positives only, with no hard negatives
- Close-mic-only capture
- No accent-band tagging, so failures cannot be localised
Contract points
- White-label and non-solicitation terms
- Your schema, your QA thresholds
- Predictable per-unit pricing
Frequently asked
What does a first engagement look like?
Usually a scoped pilot: one language, an evaluation set plus a first training batch, delivered in three to five weeks, followed by the full programme.
Can you match our existing vendor's schema?
Yes. Working to your schema avoids a conversion pass and keeps deliveries comparable across vendors.
How is provenance documented?
Per-item contributor records and consent mapped to IDs in the manifest.
Send your requirement
Language, volume, metric, deadline.