తెలుగు · Telugu · te-IN
Telugu AI Training Data Collection
We collect Telugu speech and language data for AI training across Andhra Pradesh, Telangana, parts of Karnataka and Odisha and beyond, covering 4 dialect varieties rather than a single prestige standard.
- Speakers
- 96M
- Script
- Telugu
- Studio cities
- 5
- Typical programme
- 500-2,000 hours
Why Telugu breaks generic speech models
Telugu is not a variant of a language your model already handles. The specific properties below are the ones that show up as errors in production.
- Vowel-length contrasts are phonemic and short/long confusion changes meaning outright
- Telangana and Coastal Andhra differ in lexicon and morphology enough to behave as separate ASR domains
- Heavy use of aspirated stops in Sanskritic vocabulary alongside unaspirated colloquial forms
Dialects we cover
Telugu has 4 varieties that matter for data collection. Collecting only the standard variety produces a model that works in the capital and fails everywhere else.
- Telangana
- Coastal Andhra (Godavari)
- Rayalaseema
- Srikakulam
Code-mixing reality
Hyderabad speech mixes Telugu, Urdu/Deccani, Hindi and English. A Telugu dataset for Hyderabad deployment must include Urdu-origin vocabulary.
Specify your expected English-token ratio in the brief. It is cheaper to collect the right mix than to filter the wrong one afterwards.
What is missing from public data
Coastal Andhra read speech dominates. Telangana rural and Rayalaseema speech is thin, despite Hyderabad being the largest deployment market.
This is the practical reason to commission collection rather than assemble open corpora: the gap in the public data is exactly the part your users occupy.
Transcription rules that decide whether the data is usable
These are the Telugu-specific decisions that go into the style guide before any transcriber starts work.
- Telangana forms normalised to Coastal Andhra standard
- Long/short vowel marking errors under time pressure
- Urdu loanwords rendered inconsistently in Telugu script
Recording types available
- Region-tagged spontaneous conversation across all four dialect zones
- Banking, agriculture and government-service domain prompts
- Deccani-influenced Hyderabadi Telugu sessions
- Read prompts balanced for vowel length
Recommended cohort structure
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 |
Where we record
Telugu sessions run in Hyderabad, Vijayawada, Visakhapatnam, Warangal, Tirupati. Multi-city fielding is the default because single-city cohorts carry an audible accent signature.
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.
Frequently asked
How many Telugu speakers can you field?
1,000-3,000 speakers for a standard programme, fielded across 5 cities. Split cohorts explicitly between Telangana and Andhra Pradesh and tag every speaker; models trained without the tag cannot be evaluated per region.
Do you transcribe Telugu in Telugu?
Yes, and we can deliver romanised or dual-script transcripts alongside. Telangana forms normalised to Coastal Andhra standard is one of the rules fixed in the style guide before work begins.
Can you collect dialect-specific Telugu data?
Yes. Every speaker is tagged with region and dialect, so you can evaluate per variety after delivery instead of discovering the imbalance in production.
What about Telugu-English code-mixing?
Hyderabad speech mixes Telugu, Urdu/Deccani, Hindi and English. A Telugu dataset for Hyderabad deployment must include Urdu-origin vocabulary.
Request a Telugu dataset quote
Tell us the hours, speaker count and dialect spread you need. You get a scope, a timeline and a price.