Buying guides
What does a Kannada speech dataset cost?
Updated 2026-08-01 · 4 min read
Short answer
A Kannada speech dataset is priced per delivered audio hour, and the price is driven by six variables: how many distinct speakers you need, how many minutes each contributes, how tight the dialect and demographic quotas are, the recording condition, the depth of transcription and annotation, and the deadline. Rare dialects, narrow demographic windows, telephony capture and word-level timestamps all raise the per-hour rate; a wide speaker pool in Bengaluru, Mysuru with standard transcription is the cheapest configuration. Send speakers, minutes, quality and language and you get a fixed price against a written scope.
Key takeaways
- Price scales with speaker count far more than with total hours — 1,000 speakers × 10 minutes costs more than 100 speakers × 100 minutes for the same audio volume.
- Transcription depth is the second biggest lever: verbatim with timestamps and speaker labels can double the per-hour cost of raw audio.
- Rush deadlines cost more than rare dialects, because parallel studio capacity has to be reserved.
The six variables that price a Kannada corpus
Every quote we issue names these six values explicitly, so you can see which one to relax if the price is above budget. Most teams find that widening the age band or dropping word-level timestamps recovers more budget than cutting hours.
| Variable | Cheaper end | More expensive end |
|---|---|---|
| Speakers | Fewer speakers, longer sessions | 500–1,500 speakers with short sessions each |
| Dialect quota | Urban Bangalore urban only | Balanced across Bangalore urban, Mysuru (standard literary), Dharwad / North Karnataka |
| Condition | Quiet room, single mic | Studio multi-channel, or real telephony path |
| Speech type | Scripted prompt reading | Two-party conversational with overlap |
| Transcription | Clean-read transcript | Verbatim, timestamped, speaker-labelled, event-tagged |
| Turnaround | 4–6 weeks | 10–14 days with parallel studios |
Why Kannada specifically affects the number
Screen Bengaluru participants for native fluency and years of Karnataka residence; otherwise the cohort drifts towards second-language Kannada.
Kannada is spoken across Karnataka, parts of Maharashtra, Tamil Nadu and Andhra Pradesh with 5 recognised varieties. A quota that insists on proportional coverage of all of them requires field recruitment outside the metros, which carries a travel and coordinator cost that a Mumbai-only collection does not.
What is included in a delivered hour
- Recruitment, screening and dialect verification of every speaker
- Written consent in the speaker's language, covering commercial AI training, retained for audit
- Recording under a documented protocol with automated audio validation
- Transcription in Kannada by native speakers, reviewed by a second native reviewer
- Speaker and session metadata, delivered as structured manifests
- IP assignment to you, with no reuse or resale of the corpus
How to get an accurate quote in one message
Send one line: speakers, language, minutes per speaker, demographic split, quality target, speech type and format. For example — "1,000 speakers, Kannada, 30 minutes each, 50/50 male-female, 18–45, studio quality, scripted plus spontaneous, WAV plus verbatim transcript."
That is enough for a fixed scope and price within one working day. If you only know the model problem — "our ASR degrades on Kannada call audio" — we translate that into a corpus specification with numbers attached before quoting.
Pilot first, then volume
Most Kannada programmes start with a paid pilot of 10–20 hours delivered in your ingest format. You validate audio, metadata and transcripts against your own pipeline before committing to the full quota, and the pilot rate carries into the volume contract.
Frequently asked questions
Is Kannada speech data priced per hour or per speaker?
Per delivered audio hour, but the speaker count you require is a major input into that hourly rate. Short sessions across many speakers cost more per hour than long sessions across few.
Does transcription cost extra?
Transcription is quoted as a separate line so you can take raw audio only, or audio plus verbatim timestamped transcripts, and see the difference.
Can I buy an off-the-shelf Kannada dataset instead?
Off-the-shelf corpora are cheaper but rarely match your acoustics, dialect mix or licence terms. Custom collection exists because deployment conditions differ; if a public corpus fits, use it.
Who owns the data?
You do. IP is assigned on delivery and we do not resell or reuse commissioned corpora.
What is the minimum project size?
Pilots start around 10–20 hours. Below that, the setup cost dominates and the data is rarely enough to measure anything.
Related reading
Turn this into a dataset specification
Tell us the languages, speaker count and minutes. You get a written scope, a protocol and a fixed price within one working day.