Voice Assistant Companies · Kannada
Kannada Training Data for Voice Assistant Companies
Device, OS and appliance makers shipping assistants into Indian homes and vehicles, where wake-word reliability and far-field accuracy decide the review scores. For Kannada specifically, the work is shaped by 5 dialect varieties and by how much English enters the speech.
- Buyer profile
- Voice Assistant Companies
- Language
- Kannada (kn-IN)
- Typical ask
- Wake-word positive and negative sets from 500-2
Your problem
- Wake-word false accepts and rejects spike on Indian phonetics
- Far-field and in-car conditions are not represented in close-mic corpora
- Indian names, places, brands and numbers are the most common entity failures
What Kannada requires
- North Karnataka speech has markedly different intonation and lexicon from Mysuru standard
- Dialects: Bangalore urban, Mysuru (standard literary), Dharwad / North Karnataka, Mangaluru coastal
- Bengaluru is a migration city: Kannada speech there is mixed with English, Hindi, Tamil and Telugu. Native-only Kannada cohorts recruited in Bengaluru are hard to fill without screening for years of residence.
- Mysuru/Bengaluru standard dominates. North Karnataka (Dharwad, Kalaburagi) and coastal Mangaluru speech are barely represented in any public corpus.
How you will evaluate the delivery
- Can recordings be captured at the distances and conditions the device sees?
- Are entity-heavy prompt sets available (names, addresses, PIN codes, amounts)?
- Can negative wake-word data be collected alongside positives?
Recommended cohort
Screen Bengaluru participants for native fluency and years of Karnataka residence; otherwise the cohort drifts towards second-language Kannada.
| Dimension | Typical split | Why it matters for Kannada |
|---|---|---|
| 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 Kannada forms that younger urban speakers have lost |
| Region | Karnataka / parts of Maharashtra, Tamil Nadu and Andhra Pradesh and others | Dialect spread across 5 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 |
Contract points
- Device-specific recording conditions
- Exclusive use of the collected wake-word data
- Staged delivery per firmware milestone
Example requirement
"We need 1,000 hours of Kannada from 1,500 speakers, 50/50 male-female, ages 18-45, studio quality, scripted plus spontaneous, delivered in WAV with transcripts."
That sentence is enough to produce a quote and a timeline. Anything missing, we will ask about once.
Frequently asked
Do you have Kannada capacity available now?
Screen Bengaluru participants for native fluency and years of Karnataka residence; otherwise the cohort drifts towards second-language Kannada. Fielding usually starts one to two weeks after the specification is signed.
Can you work white-label?
Yes, including QA reporting written so it can be passed to your end client unchanged.
What licensing applies to Kannada data?
Perpetual and transferable, with participant consent covering model training and downstream distribution. Device-specific recording conditions is addressed in the master agreement.
Request a Kannada quote
Send the spec. You get scope, timeline and price.