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Translation · ASR Model Training

Translation & Localisation Data for ASR Model Training

Human translation and parallel-corpus creation across Indian languages, built for machine-translation training and multilingual LLM evaluation rather than for publication. Applied to asr model training, the specification is driven by one thing: word error rate overall and per dialect.

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Abstract visualisation of translation between two Indian languages — Translation & Localisation Data for ASR Model Training
Service
Translation
Use case
ASR Model Training
Primary metric
Word error rate overall and per dialect
01

Required data profile

  • Hundreds to thousands of hours of verbatim-transcribed speech
  • Wide speaker diversity: age, gender, region, education, recording condition
  • Speaker-disjoint train/dev/test splits
Translation — ASR Model Training · 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
Two-speaker conversational recording session in a studio — supporting translation & localisation data for asr model training
Two-speaker conversational recording session in a studio
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

  • Word error rate overall and per dialect
  • Entity error rate on names and numbers
  • Code-switch token accuracy
05

Failure modes to design out

  • Read-speech-only corpora that do not transfer to spontaneous audio
  • Speaker leakage across splits inflating reported accuracy
  • Normalised-only transcripts with the raw text discarded

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 asr model training?

It covers hundreds to thousands of hours of verbatim-transcribed speech. Most asr model training 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 asr model training

Send the metric you need to move.

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