Multilingual collection · Speech Analytics
Multilingual Data Collection for Speech Analytics
Parallel programmes across several Indian languages at once, run to one specification so the resulting datasets are comparable rather than a set of incompatible deliveries. Applied to speech analytics, the specification is driven by one thing: intent accuracy.
- Service
- Multilingual collection
- Use case
- Speech Analytics
- Primary metric
- Intent accuracy
Required data profile
- Domain-realistic conversation audio
- Intent, outcome and compliance labels
- Speaker-separated channels
Technical specification
| Parameter | Standard |
|---|---|
| Languages | Up to 14 Indian languages plus Indian English in one programme |
| Consistency | One spec, one manifest schema, one QA standard across all languages |
| Balance | Per-language quotas set independently to match your deployment mix |
| Reporting | Single consolidated progress view across languages |
Process
- Master specification written once and localised per language
- Per-language linguistic review of prompts and guides
- Parallel fielding across studio cities
- Central QA applying identical thresholds
- Consolidated delivery with per-language reports
Metrics this feeds
- Intent accuracy
- Compliance-event recall
- Summary factuality
Failure modes to design out
- Labels defined without listening to real calls first
- Ignoring dialect coverage in the target market
The hardest language sets the timeline. Low-resource languages such as Assamese and Odia should start first.
Deliverables
- Per-language datasets in one schema
- Cross-language coverage report
- Consolidated QA summary
Frequently asked
Is multilingual collection the right service for speech analytics?
It covers domain-realistic conversation audio. Most speech analytics 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 multilingual collection for speech analytics
Send the metric you need to move.