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TTS datasets · Machine Translation

TTS Training Data for Machine Translation

Single-speaker and multi-speaker text-to-speech corpora with phonetically balanced scripts, consistent prosody, and studio-grade capture suitable for neural TTS. Applied to machine translation, the specification is driven by one thing: human adequacy and fluency scores.

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Abstract visualisation of translation between two Indian languages — TTS Training Data for Machine Translation
Service
TTS datasets
Use case
Machine Translation
Primary metric
Human adequacy and fluency scores
01

Required data profile

  • Sentence-aligned parallel corpora
  • Register-matched to your product
  • Enforced terminology glossary
TTS datasets — Machine Translation · written into the SOW before recordingSample rate48 kHz, 24-bitSpeaker consistencySame booth, mic, distance and time-of-day banding across se…ScriptPhonetically balanced, diphone-covering, domain-extendedProsodyNeutral base set plus optional expressive stylesAlignmentText-audio alignment verified per utteranceYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Sample rate48 kHz, 24-bit
Speaker consistencySame booth, mic, distance and time-of-day banding across sessions
ScriptPhonetically balanced, diphone-covering, domain-extended
ProsodyNeutral base set plus optional expressive styles
AlignmentText-audio alignment verified per utterance
SilenceLeading/trailing silence trimmed to a fixed window
Speaker recording scripted prompts for a speech data collection project — supporting tts training data for machine translation
Speaker recording scripted prompts for a speech data collection project
03

Process

  • Script generation with phoneme and diphone coverage analysis
  • Voice casting with client shortlisting from audition samples
  • Multi-session recording with drift monitoring between sessions
  • Alignment verification and mispronunciation review by a linguist
  • Delivery with a coverage report
04

Metrics this feeds

  • Human adequacy and fluency scores
  • Terminology compliance rate
  • Back-translation divergence
05

Failure modes to design out

  • Pivoting everything through English
  • Post-edited machine output passed off as human translation

Session drift is the main TTS killer. Every session is compared acoustically against the reference session and re-recorded if it drifts.

06

Deliverables

  • Studio WAV per utterance
  • Verified transcripts and pronunciation notes
  • Phoneme coverage report
  • Voice talent licence and consent documentation

Frequently asked

Is tts datasets the right service for machine translation?

It covers sentence-aligned parallel corpora. Most machine translation 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 tts datasets for machine translation

Send the metric you need to move.

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