Translation · Speaker Diarisation
Translation & Localisation Data for Speaker Diarisation
Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. Applied to speaker diarisation, the specification is driven by one thing: diarisation error rate.
- Service
- Translation
- 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 |
|---|---|
| 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
- 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
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 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 translation for speaker diarisation
Send the metric you need to move.