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Voice Assistant Companies · Punjabi

Punjabi 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 Punjabi specifically, the work is shaped by 5 dialect varieties and by how much English enters the speech.

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Woman speaking to a smartphone voice assistant on an Indian street — Punjabi Training Data for Voice Assistant Companies
Buyer profile
Voice Assistant Companies
Language
Punjabi (pa-IN)
Typical ask
Wake-word positive and negative sets from 500-2
01

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
Voice Assistant Companies · PunjabiWhat goes wrongWhat they check before signingWake-word false accepts and rejects spike… on Indian phonetics…Far-field and in-car conditions are not r…epresented in close-mic corpora…Indian names, places, brands and numbers …are the most common entity failures…Can recordings be captured at the distanc…es and conditions the device sees?…Are entity-heavy prompt sets available (n…ames, addresses, PIN codes, amounts)?…Can negative wake-word data be collected …alongside positives?…We quote against the right-hand column, not the pitch.
02

What Punjabi requires

  • Punjabi is tonal: high, low and level tones distinguish words, and tone is not marked in Gurmukhi orthography
  • Dialects: Majhi (standard), Malwai, Doabi, Puadhi
  • Punjabi speech mixes Hindi and English freely, with strong diaspora influence in urban registers.
  • Tonal variation is essentially unmodelled in public Punjabi data, and Malwai/Doabi rural speech is scarce.
Data visualisation of studio and field recording coverage across India — supporting punjabi training data for voice assistant companies
Data visualisation of studio and field recording coverage across India
03

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?
04

Recommended cohort

Cover all three historic regions (Majha, Malwa, Doaba); tone realisation differs measurably between them.

DimensionTypical splitWhy it matters for Punjabi
Gender50 / 50Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition
Age18-25: 30%, 26-40: 40%, 41-60: 30%Older speakers retain conservative Punjabi forms that younger urban speakers have lost
RegionPunjab / Haryana / Delhi and othersDialect spread across 5 recognised varieties
EducationMixed, including below-graduatePrompt-reading fluency correlates with education and skews prosody
ConditionStudio / quiet room / fieldMatch the noise profile of your deployment
05

Contract points

  • Device-specific recording conditions
  • Exclusive use of the collected wake-word data
  • Staged delivery per firmware milestone
06

Example requirement

"We need 500 hours of Punjabi from 800 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 Punjabi capacity available now?

Cover all three historic regions (Majha, Malwa, Doaba); tone realisation differs measurably between them. 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 Punjabi 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 Punjabi quote

Send the spec. You get scope, timeline and price.

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