Service
Conversational Speech Data in India
Natural two-party and multi-party conversation recorded with separate channels per speaker, covering the overlaps, interruptions and turn-taking that scripted data never produces.
- Turnaround
- 4-7 weeks for 100-300 hours in one language.
- Languages
- 14 Indian languages + Indian English
- Delivery
- Per-speaker channels plus mixed reference
What you get
- Per-speaker channels plus mixed reference
- Turn-level transcripts
- Overlap and backchannel tags
- Conversation metadata
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 |
|---|---|
| Channels | One channel per speaker, time-aligned |
| Duration | 15-60 minutes per conversation |
| Topics | Scenario cards, free topics, or your domain scripts |
| Overlap | Preserved and tagged, never edited out |
| Metadata | Relationship between speakers, familiarity, topic, setting |
How the work runs
- Scenario design so conversations stay on-domain without becoming scripted
- Speaker pairing by familiarity level as specified
- Multi-channel recording with per-speaker isolation
- Diarisation-ready packaging
- Verbatim transcription with speaker turns and overlap tags
Quality control
Conversations are checked for naturalness, not just audio quality. Sessions that drift into reading are rejected.
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
Pairs are recruited together where familiarity matters; stranger pairs are used when the deployment target is customer support.
Consent is captured per participant and mapped to file IDs, so provenance survives an external audit of your training data.
Timeline
4-7 weeks for 100-300 hours in one language.
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
- Diarisation
- Conversational ASR
- Dialogue modelling
- Call analytics
Frequently asked
What is the minimum volume for conversational speech?
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 conversational speech data
Send the specification you already have, or the rough shape of it, and you get a scoped quote with a timeline.