Telugu ASR datasets
Telugu has four major dialect regions, and the Telangana variety carries a large share of Urdu loanwords that the coastal variety does not use. Without a region label on each record, dialect variation and annotation error look identical in the data, and there is no way to tell them apart after the fact. The label is collected during recording, not reconstructed later.
What ASR work in Telugu requires
Transcription convention, decided first
Whether to write what was said or what should have been said is the single biggest source of disagreement between annotators. For this language the two diverge often enough that the convention has to be explicit.
Speaker count over hours
Recognition models overfit to voices faster than to vocabulary. A dataset that is long but narrow will test well on held-out audio from the same speakers and fail on anyone new.
Noise that matches deployment
If the model will run on phone audio in a city, training on studio recordings creates a mismatch that no amount of additional clean data fixes.
The mistake that costs the most
The most common mistake is specifying hours without specifying speakers, and then discovering at evaluation time that the model only works on the people who were recorded.
The language-specific factor
Telugu has four major dialect regions (Coastal Andhra, Rayalaseema, Telangana, and the south) that differ noticeably, and the Telangana dialect carries a large share of Urdu loanwords. Without region labels, you cannot tell dialect variation from annotation error.
Specification checklist
| Language | Telugu |
|---|---|
| Writing system | Telugu |
| Region | South Asia |
| Core keyword | ASR dataset |
| Must specify | Distinct speaker count, recording conditions, annotation convention, delivery format |
| Included by default | Pilot batch, speaker metadata, consent documentation, annotation guideline |
Related
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Telugu speech data
The full overview for this language, including what makes it hard to collect.
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Multilingual speech
Running this alongside other languages in one delivery.
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WER
How recognition quality is measured, and what the number does not tell you.
Request Telugu ASR data
Tell us the language, the hours, and what the data needs to look like. You will get a real number and a real timeline, not a range. If we cannot source it well, we will tell you that instead.
- Pilot batch before the full run, so problems surface early.
- Consent documentation delivered with the data.
- No medical or clinical data. No recorded telephone calls.
- You send the spec Language, hours, recording conditions, and the deadline.
- We reply within two business days A real number and a real timeline, not a range.
- You approve a pilot batch A small run first, so problems surface before the full order.
- Full run, then delivery with documents Audio, transcripts, and the consent record for every speaker.