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Translation · TTS Voice Building

Translation & Localisation Data for TTS Voice Building

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

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Abstract visualisation of translation between two Indian languages — Translation & Localisation Data for TTS Voice Building
Service
Translation
Use case
TTS Voice Building
Primary metric
MOS naturalness
01

Required data profile

  • 10-40 hours from one speaker, or multi-speaker sets
  • Phonetically balanced scripts
  • Session-consistent acoustics
Translation — TTS Voice Building · 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
Annotators writing prompts and responses for LLM training data — supporting translation & localisation data for tts voice building
Annotators writing prompts and responses for LLM training data
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

  • MOS naturalness
  • Pronunciation accuracy on loanwords and names
  • Prosody stability across long utterances
05

Failure modes to design out

  • Session drift between recording days
  • Scripts that under-cover rare phonemes
  • Uncleared voice-talent licensing

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 tts voice building?

It covers 10-40 hours from one speaker, or multi-speaker sets. Most tts voice building 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 tts voice building

Send the metric you need to move.

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