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Audio annotation · ਪੰਜਾਬੀ

Punjabi Audio Annotation

Labelling of existing audio: speaker diarisation, emotion, intent, events, language identification and segment-level quality tagging, against your label schema. 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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Annotator labelling audio segments and speaker turns — Punjabi Audio Annotation
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 audio annotation 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.
Audio annotation — Punjabi · written into the SOW before recordingLabel typesDiarisation, emotion, intent, events, language ID, qualityGranularitySegment, utterance, or frame-level boundariesSchemaYours, or authored with you before work startsAgreementMulti-annotator overlap on a defined percentageToolingClient tooling supported; otherwise our annotation workflowYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Label typesDiarisation, emotion, intent, events, language ID, quality
GranularitySegment, utterance, or frame-level boundaries
SchemaYours, or authored with you before work starts
AgreementMulti-annotator overlap on a defined percentage
ToolingClient tooling supported; otherwise our annotation workflow
Speaker reading a prompt script into a studio microphone — supporting punjabi audio annotation
Speaker reading a prompt script into a studio microphone
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

  • Schema definition and edge-case documentation
  • Annotator training and gold-set calibration
  • Production annotation with gold items seeded in
  • Adjudication of disagreements by a senior reviewer
  • Delivery with per-label agreement statistics
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

Gold items are seeded throughout production so drift is caught during the run, not at delivery.

06

Deliverables

  • Labelled data in your schema
  • Gold set and calibration results
  • Per-label agreement statistics
  • Edge-case log
07

Worked example

A representative Punjabi audio annotation 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: Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.

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 audio annotation 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. Labelled data in your schema is the default, but naming, schema and directory structure follow your pipeline.

How long does a Punjabi programme take?

Scoped per label complexity; simple diarisation runs at roughly 3-5x real time.

Request a Punjabi audio annotation quote

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

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