Audio annotation · తెలుగు
Telugu 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 Telugu, where vowel-length contrasts are phonemic and short/long confusion changes meaning outright.
- Language
- Telugu (te-IN)
- Dialects covered
- 4
- Typical programme
- 500-2,000 hours
- Cities
- Hyderabad, Vijayawada, Visakhapatnam
What changes when the language is Telugu
The service specification stays constant across languages; the linguistics do not. For Telugu, three things drive the design of a audio annotation programme.
- Vowel-length contrasts are phonemic and short/long confusion changes meaning outright
- Dialect spread: Telangana, Coastal Andhra (Godavari), Rayalaseema, Srikakulam
- Hyderabad speech mixes Telugu, Urdu/Deccani, Hindi and English. A Telugu dataset for Hyderabad deployment must include Urdu-origin vocabulary.
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 |
Telugu cohort design
Split cohorts explicitly between Telangana and Andhra Pradesh and tag every speaker; models trained without the tag cannot be evaluated per region.
| Dimension | Typical split | Why it matters for Telugu |
|---|---|---|
| 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 Telugu forms that younger urban speakers have lost |
| Region | Andhra Pradesh / Telangana / parts of Karnataka and Odisha and others | Dialect spread across 4 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
Telugu-specific quality rules
- Telangana forms normalised to Coastal Andhra standard
- Long/short vowel marking errors under time pressure
- Urdu loanwords rendered inconsistently in Telugu script
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 Telugu audio annotation engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Hyderabad, Vijayawada, Visakhapatnam, 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
Coastal Andhra read speech dominates. Telangana rural and Rayalaseema speech is thin, despite Hyderabad being the largest deployment market.
Frequently asked
How much does Telugu audio annotation cost?
Priced per delivered hour or unit against a written spec. The cost drivers for Telugu are dialect spread, demographic narrowness and recording condition, in that order.
Which Telugu dialects are included?
By default Telangana, Coastal Andhra (Godavari), Rayalaseema, Srikakulam and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.
Can you deliver Telugu 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 Telugu programme take?
Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.
Request a Telugu audio annotation quote
Hours, speakers, dialects, deadline. Send what you have.