Gujarat · Audio annotation
Audio Annotation in Surat
Labelling of existing audio: speaker diarisation, emotion, intent, events, language identification and segment-level quality tagging, against your label schema. In Surat, this runs from our local studio setup: Partner booth with trade-domain scenarios.

- City
- Surat, Gujarat
- Languages here
- 2
- Turnaround
- Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.
Languages recorded in Surat
- Gujarati
- Hindi
Local dialect profile
Surti Gujarati with distinctive intonation; large migrant Hindi-speaking population.
Needed for Gujarati dialect spread beyond Ahmedabad.

Technical specification
| Parameter | Standard |
|---|---|
| Label types | Diarisation, emotion, intent, events, language ID, quality |
| Granularity | Segment, utterance, or frame-level boundaries |
| Schema | Yours, or authored with you before work starts |
| Agreement | Multi-annotator overlap on a defined percentage |
| Tooling | Client tooling supported; otherwise our annotation workflow |
Process
- Schema definition and edge-case documentation
- Annotator training and gold-set calibration
- Production annotation with gold items seeded in
- Adjudication of disagreements by a senior reviewer
- Delivery with per-label agreement statistics
Deliverables
- Labelled data in your schema
- Gold set and calibration results
- Per-label agreement statistics
- Edge-case log
Why Surat for this work
Needed for Gujarati dialect spread beyond Ahmedabad.
Partner booth with trade-domain scenarios. Sessions here follow the same template as every other city in the network, so a multi-city cohort stays acoustically consistent.
Frequently asked
Do you have a studio in Surat?
Partner booth with trade-domain scenarios.
Which languages can you collect in Surat?
Gujarati, Hindi. Other languages are possible where migrant communities are present, with residence and nativeness screening.
Can sessions run outside the studio?
Yes. Field recording in homes, vehicles and public spaces is available where your deployment conditions require it, with noise profiles documented per session.
Book audio annotation in Surat
Send the language, speaker count and conditions.