Audio annotation · தமிழ்
Tamil 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 Tamil, where extreme diglossia: written tamil and spoken tamil differ so much that read-speech corpora are near-useless for conversational asr.
- Language
- Tamil (ta-IN)
- Dialects covered
- 6
- Typical programme
- 500-2,000 hours
- Cities
- Chennai, Coimbatore, Madurai
What changes when the language is Tamil
The service specification stays constant across languages; the linguistics do not. For Tamil, three things drive the design of a audio annotation programme.
- Extreme diglossia: written Tamil and spoken Tamil differ so much that read-speech corpora are near-useless for conversational ASR
- Dialect spread: Chennai (Madras Bashai), Kongu (Coimbatore), Madurai, Nellai (Tirunelveli)
- Tanglish is the default urban register. Technology, finance, and workplace vocabulary is largely English embedded in Tamil syntax.
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 |
Tamil cohort design
Recruit by district rather than by city alone; Chennai-only cohorts produce models that degrade sharply in the south and west of the state.
| Dimension | Typical split | Why it matters for Tamil |
|---|---|---|
| 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 Tamil forms that younger urban speakers have lost |
| Region | Tamil Nadu / Puducherry / parts of Karnataka and Kerala and others | Dialect spread across 6 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
Tamil-specific quality rules
- Transcribers normalising spoken Tamil into literary Tamil, destroying the acoustic-text alignment
- ழ / ள / ல confusion
- Inconsistent handling of English insertions: Tamil script transliteration vs Latin script must be fixed in the guide
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 Tamil audio annotation engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Chennai, Coimbatore, Madurai, 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
Almost all public Tamil audio is literary read speech from news or scripture. Genuine colloquial Tamil, especially southern and Kongu varieties, is the single biggest gap for anyone building Tamil voice products.
Frequently asked
How much does Tamil audio annotation cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Tamil are dialect spread, demographic narrowness and recording condition, in that order.
Which Tamil dialects are included?
By default Chennai (Madras Bashai), Kongu (Coimbatore), Madurai, Nellai (Tirunelveli) and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Tamil 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 Tamil programme take?
Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.
Request a Tamil audio annotation quote
Hours, speakers, dialects, deadline. Send what you have.