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TTS datasets · TTS Voice Building

TTS Training Data for TTS Voice Building

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 tts voice building, the specification is driven by one thing: mos naturalness.

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Studio-grade voice recording session for text-to-speech training data — TTS Training Data for TTS Voice Building
Service
TTS datasets
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
TTS datasets — TTS Voice Building · 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
Two speakers recording natural conversational speech data — supporting tts training data for tts voice building
Two speakers recording natural conversational speech data
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

  • 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

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 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 tts datasets for tts voice building

Send the metric you need to move.

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