Audio annotation · ગુજરાતી
Gujarati Audio Annotation
Labelling of existing audio: speaker diarisation, emotion, intent, events, language identification and segment-level quality tagging, against your label schema. This page covers how that works specifically for Gujarati, where murmured (breathy-voiced) vowels are phonemic in gujarati and are absent from most shared indic acoustic models.
- Language
- Gujarati (gu-IN)
- Dialects covered
- 5
- Typical programme
- 250-1,000 hours
- Cities
- Ahmedabad, Surat, Vadodara
What changes when the language is Gujarati
The service specification stays constant across languages; the linguistics do not. For Gujarati, three things drive the design of a audio annotation programme.
- Murmured (breathy-voiced) vowels are phonemic in Gujarati and are absent from most shared Indic acoustic models
- Dialect spread: Standard (Amdavadi), Surti, Kathiyawadi, Kachchhi-influenced
- Business and trade vocabulary is heavily English; Gujarati diaspora speech adds further English structure. Specify whether diaspora speakers are in or out of scope.
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 |
Gujarati cohort design
Surat and Rajkot recruitment is essential for dialect coverage; Ahmedabad-only cohorts sound uniform.
| Dimension | Typical split | Why it matters for Gujarati |
|---|---|---|
| Gender | 50 / 50 | Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition |
| Age | 18-25: 30%, 26-40: 40%, 41-60: 30% | Older speakers retain conservative Gujarati forms that younger urban speakers have lost |
| Region | Gujarat / Daman & Diu / Dadra & Nagar Haveli and others | Dialect spread across 5 recognised varieties |
| Education | Mixed, including below-graduate | Prompt-reading fluency correlates with education and skews prosody |
| Condition | Studio / quiet room / field | Match the noise profile of your deployment |
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
Gujarati-specific quality rules
- Breathy vowels have no consistent orthographic marking
- Kathiyawadi lexical items replaced with standard equivalents
- Numerals and currency in trade speech written inconsistently
Gold items are seeded throughout production so drift is caught during the run, not at delivery.
Deliverables
- Labelled data in your schema
- Gold set and calibration results
- Per-label agreement statistics
- Edge-case log
Worked example
A representative Gujarati audio annotation engagement: 250 hours from 500 speakers, 50/50 gender, ages 18-45, spread across Ahmedabad, Surat, Vadodara, recorded to the specification above and delivered in WAV with a per-utterance manifest.
Timeline: Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.
Where this data is missing today
Very little spontaneous Gujarati audio exists publicly; nearly all of it is Ahmedabad read speech.
Frequently asked
How much does Gujarati audio annotation cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Gujarati are dialect spread, demographic narrowness and recording condition, in that order.
Which Gujarati dialects are included?
By default Standard (Amdavadi), Surti, Kathiyawadi, Kachchhi-influenced and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Gujarati data in our format?
Yes. Labelled data in your schema is the default, but naming, schema and directory structure follow your pipeline.
How long does a Gujarati programme take?
Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.
Request a Gujarati audio annotation quote
Hours, speakers, dialects, deadline. Send what you have.