aidataservices.inAI data collection · India

Turnaround

How long tts training data takes

Honest delivery schedules for tts training data, the stages that actually consume the calendar, and the three levers that safely compress a timeline.

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Studio-grade voice recording session for text-to-speech training data — How long tts training data takes
Standard
4-8 weeks for a 20-40 hour single-speaker voice build including casting.
Pilot
10-20 units in 1-2 weeks
First batch
Typically week 3
Cadence
Weekly batches after the first
01

Where the time actually goes

Recording is rarely the bottleneck. Specification agreement, speaker recruitment against quotas and native-reviewer QA are what set the calendar, and all three run in parallel once the spec is signed.

  • 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
02

Indicative schedules

VolumeSpec + setupCollectionQA + deliveryTotal
Pilot (10-20 units)3-5 days5-7 days3-4 days1-2 weeks
100 units1 week2-4 weeks1 week4-6 weeks
500 units1-2 weeks4-7 weeks1-2 weeks6-10 weeks
1,000 units2 weeks7-11 weeks2 weeks10-16 weeks

Batches are delivered as they pass QA, so you start training long before the final unit lands.

Diverse Indian speakers waiting for multilingual data collection sessions — supporting how long tts training data takes
Diverse Indian speakers waiting for multilingual data collection sessions
03

What safely compresses a timeline

  • Parallel cities: the same cohort recruited across several studios at once rather than sequentially
  • A signed specification on day one — most slipped schedules start as an unsettled spec
  • Accepting rolling batches instead of a single final delivery
  • Widening one non-critical quota (usually education band or district) while holding the ones that matter
04

What cannot be rushed

Recruitment of narrow cohorts, native review depth and consent administration have floors. Compressing them is how vendors end up delivering data that fails acceptance, which costs more calendar time than it saved.

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

05

What lands with each batch

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

Frequently asked

What is a realistic turnaround for tts datasets?

4-8 weeks for a 20-40 hour single-speaker voice build including casting. for a standard production run, with a pilot possible in one to two weeks and first batches usually arriving in week three.

Can you hit a hard deadline?

Often, by running more cities in parallel and delivering rolling batches. We will say no rather than accept a date that forces a quality compromise.

Do we wait for everything before we can train?

No. Batches are delivered as they pass QA so training can start early and the spec can be adjusted while collection is still running.

What causes delays in practice?

Late specification sign-off, mid-project quota changes and narrow cohorts in low-density districts. All three are visible in the plan before we start.

Related pages

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