ASR datasets · తెలుగు
Telugu ASR Training Data
Transcribed speech corpora built to train and evaluate automatic speech recognition, with verbatim transcription, timestamps and per-token language tagging where code-mixing occurs. 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 asr datasets 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 |
|---|---|
| Audio | 16 kHz or 48 kHz PCM WAV |
| Transcription | Verbatim, including disfluencies, false starts and fillers |
| Timestamps | Utterance level by default; word level on request |
| Tagging | Noise, overlap, unintelligible, foreign-language and code-switch tags |
| Normalisation | Raw and normalised text columns delivered separately |
| Split | Train/dev/test splits with no speaker leakage across splits |
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
- Style guide authored per language, covering numerals, loanwords, script and disfluency rules
- Transcriber calibration round with inter-annotator agreement measurement
- First-pass transcription
- Second-pass native review
- Automated consistency checks against the style guide
- Split generation with speaker-disjoint partitions
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
Agreement is measured, not assumed. We report word-level agreement on a held-out sample so you can judge label quality before training on it.
Deliverables
- Audio plus aligned transcripts (JSON/TSV, or your schema)
- Style guide as delivered documentation
- Inter-annotator agreement report
- Speaker-disjoint train/dev/test splits
Worked example
A representative Telugu asr datasets 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: Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.
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 asr datasets 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. Audio plus aligned transcripts (JSON/TSV, or your schema) is the default, but naming, schema and directory structure follow your pipeline.
How long does a Telugu programme take?
Transcription adds roughly 1-2 weeks per 100 hours after recording, per language.
Request a Telugu asr datasets quote
Hours, speakers, dialects, deadline. Send what you have.