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Punjabi Voice Recording for AI Training

Studio voice recording built for model training rather than broadcast: controlled acoustics, consistent mic distance, and reproducible session parameters across every speaker. This page covers how that works specifically for Punjabi, where punjabi is tonal: high, low and level tones distinguish words, and tone is not marked in gurmukhi orthography.

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Voice artist recording training data for an AI voice model — Punjabi Voice Recording for AI Training
Language
Punjabi (pa-IN)
Dialects covered
5
Typical programme
100-500 hours
Cities
Amritsar, Ludhiana, Jalandhar
01

What changes when the language is Punjabi

The service specification stays constant across languages; the linguistics do not. For Punjabi, three things drive the design of a voice recording programme.

  • Punjabi is tonal: high, low and level tones distinguish words, and tone is not marked in Gurmukhi orthography
  • Dialect spread: Majhi (standard), Malwai, Doabi, Puadhi
  • Punjabi speech mixes Hindi and English freely, with strong diaspora influence in urban registers.
Voice recording — Punjabi · written into the SOW before recordingSample rate48 kHzBit depth24-bitMicrophoneLarge-diaphragm condenser, fixed distance, pop filterRoomTreated booth, RT60 under 0.3sProcessingNone. No compression, EQ, or noise reduction on delivered a…Your values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Sample rate48 kHz
Bit depth24-bit
MicrophoneLarge-diaphragm condenser, fixed distance, pop filter
RoomTreated booth, RT60 under 0.3s
ProcessingNone. No compression, EQ, or noise reduction on delivered audio
Session length30-90 minutes per speaker, with breaks logged
Annotators writing prompts and responses for LLM training data — supporting punjabi voice recording for ai training
Annotators writing prompts and responses for LLM training data
03

Punjabi cohort design

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
04

Process

  • Session template definition so every studio in the network records identically
  • Speaker briefing and pronunciation calibration
  • Take-level monitoring with immediate re-record on defect
  • Per-session technical report
  • Delivery with unprocessed masters
05

Punjabi-specific quality rules

  • Tone is unrepresented in text, so pronunciation lexicons must be built from audio, not from spelling
  • Shahmukhi vs Gurmukhi script decisions must be fixed per project
  • Adhak (gemination) applied inconsistently

Delivered audio is never processed. Training pipelines should see the raw capture so augmentation stays under your control.

06

Deliverables

  • Unprocessed WAV masters
  • Session logs
  • Take-level metadata
  • Speaker consent records
07

Worked example

A representative Punjabi voice recording engagement: 100 hours from 300 speakers, 50/50 gender, ages 18-45, spread across Amritsar, Ludhiana, Jalandhar, recorded to the specification above and delivered in WAV with a per-utterance manifest.

Timeline: 2-5 weeks depending on speaker count and city spread.

08

Where this data is missing today

Tonal variation is essentially unmodelled in public Punjabi data, and Malwai/Doabi rural speech is scarce.

Frequently asked

How much does Punjabi voice recording cost?

Priced per delivered hour or unit against a written spec. The cost drivers for Punjabi are dialect spread, demographic narrowness and recording condition, in that order.

Which Punjabi dialects are included?

By default Majhi (standard), Malwai, Doabi, Puadhi and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Punjabi data in our format?

Yes. Unprocessed WAV masters is the default, but naming, schema and directory structure follow your pipeline.

How long does a Punjabi programme take?

2-5 weeks depending on speaker count and city spread.

Request a Punjabi voice recording quote

Hours, speakers, dialects, deadline. Send what you have.

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