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Translation · Voice Biometrics

Translation & Localisation Data for Voice Biometrics

Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. Applied to voice biometrics, the specification is driven by one thing: equal error rate.

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Abstract visualisation of translation between two Indian languages — Translation & Localisation Data for Voice Biometrics
Service
Translation
Use case
Voice Biometrics
Primary metric
Equal error rate
01

Required data profile

  • Many sessions per speaker across days and channels
  • Same-speaker channel variation
  • Optional spoof and replay sets
Translation — Voice Biometrics · written into the SOW before recordingDirectionEnglish to Indian languages and between Indian languagesOutputSentence-aligned parallel corporaRegisterFormal, colloquial, or matched to your product toneReviewIndependent bilingual review passTerminologyClient glossary enforced and returned updatedYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
DirectionEnglish to Indian languages and between Indian languages
OutputSentence-aligned parallel corpora
RegisterFormal, colloquial, or matched to your product tone
ReviewIndependent bilingual review pass
TerminologyClient glossary enforced and returned updated
Field recording session with a rural speaker in India — supporting translation & localisation data for voice biometrics
Field recording session with a rural speaker in India
03

Process

  • Glossary and register agreement
  • Translation by native speakers of the target language
  • Independent bilingual review
  • Alignment verification
  • Delivery with terminology report
04

Metrics this feeds

  • Equal error rate
  • Cross-channel EER
  • Spoof detection rate
05

Failure modes to design out

  • One session per speaker, which makes intra-speaker variability unmodellable
  • No channel variation

Back-translation checks are run on a sample so you can see where source ambiguity, not translator error, causes divergence.

06

Deliverables

  • Sentence-aligned parallel data
  • Updated glossary
  • Reviewer notes on ambiguous source

Frequently asked

Is translation the right service for voice biometrics?

It covers many sessions per speaker across days and channels. Most voice biometrics 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 voice biometrics

Send the metric you need to move.

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