Multilingual collection · Speaker Diarisation
Multilingual Data Collection for Speaker Diarisation
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 speaker diarisation, the specification is driven by one thing: diarisation error rate.
- Service
- Multilingual collection
- Use case
- Speaker Diarisation
- Primary metric
- Diarisation error rate
Required data profile
- Per-speaker isolated channels with a mixed reference
- Genuine overlap preserved
- Turn-level ground truth
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
- Diarisation error rate
- Overlap detection recall
- Speaker-count accuracy
Failure modes to design out
- Overlap edited out during recording
- Single-channel-only capture leaving no reliable ground truth
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 speaker diarisation?
It covers per-speaker isolated channels with a mixed reference. Most speaker diarisation 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 speaker diarisation
Send the metric you need to move.