Service
TTS Training Data in India
Single-speaker and multi-speaker text-to-speech corpora with phonetically balanced scripts, consistent prosody, and studio-grade capture suitable for neural TTS.
- Turnaround
- 4-8 weeks for a 20-40 hour single-speaker voice build including casting.
- Languages
- 14 Indian languages + Indian English
- Delivery
- Studio WAV per utterance
What you get
- Studio WAV per utterance
- Verified transcripts and pronunciation notes
- Phoneme coverage report
- Voice talent licence and consent documentation
Technical specification
Every parameter below is written into the statement of work before recording begins. If your pipeline needs different values, they replace ours rather than being converted after delivery.
| Parameter | Standard |
|---|---|
| Sample rate | 48 kHz, 24-bit |
| Speaker consistency | Same booth, mic, distance and time-of-day banding across sessions |
| Script | Phonetically balanced, diphone-covering, domain-extended |
| Prosody | Neutral base set plus optional expressive styles |
| Alignment | Text-audio alignment verified per utterance |
| Silence | Leading/trailing silence trimmed to a fixed window |
How the work runs
- 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
Quality control
Session drift is the main TTS killer. Every session is compared acoustically against the reference session and re-recorded if it drifts.
QA failures are remedied by re-collection, not by editing the delivered files. Repaired audio introduces artefacts that survive into your model.
Speaker and contributor sourcing
Auditioned voice talent, shortlisted by you before the full build starts.
Consent is captured per participant and mapped to file IDs, so provenance survives an external audit of your training data.
Timeline
4-8 weeks for a 20-40 hour single-speaker voice build including casting.
Staged delivery is available: first batches ship while later batches are still recording, so training can start early.
The numbers we hold ourselves to
- 100% of delivered files pass automated technical QA for SNR, clipping, duration and silence
- 5-25% of files pass a second native-speaker content review, stratified by city, dialect and transcriber, and escalating to 100% on any batch that fails the agreed threshold
- Accepted yield runs 85-90% for scripted speech, 60-70% for spontaneous, 55-65% for conversational and 50-60% for telephony
- Default cohort quotas: 50/50 gender, with age bands at 30% (18-25), 40% (26-40) and 30% (41-60)
- 48 kHz / 24-bit capture, delivered as 16-bit PCM WAV, with studio sessions held below a -50 dBFS noise floor
- First response within one working day; a scoped, fixed quote within two to three
These are the figures a delivery is measured against, not aspirations. A batch that misses them is re-recorded at our cost rather than repaired.
Commonly used for
- Neural TTS
- Voice cloning
- Expressive speech synthesis
Frequently asked
What is the minimum volume for tts datasets?
Programmes typically start around 50 hours or equivalent units per language. Smaller pilots are accepted when they lead into a larger build, because most of the setup cost is in specification and recruitment rather than recording time.
Can you work to our schema instead of yours?
Yes. Manifest fields, file naming, directory structure and label schema are set by you. Working to your schema from the start avoids a conversion pass that usually loses metadata.
Who owns the delivered data?
You do. Deliverables come with a perpetual, transferable licence and participant consent that covers model training and distribution of the resulting model.
How is pricing structured?
Per delivered hour or per unit, quoted against a written specification. Quotas, recording conditions and QA thresholds all move the price, which is why we quote from a spec rather than from a price list.
Get a quote for tts training data
Send the specification you already have, or the rough shape of it, and you get a scoped quote with a timeline.