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Call-centre speech · اردو

Urdu Call Centre Speech Data

Simulated and consented real-world contact-centre audio in Indian languages, recorded over telephony-grade channels so it matches the bandwidth your production system actually sees. This page covers how that works specifically for Urdu, where shares most phonology with hindi but adds perso-arabic phonemes (/q/, /x/, /ɣ/, /z/, /f/) that many speakers merge.

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Contact centre agents generating call centre speech data — Urdu Call Centre Speech Data
Language
Urdu (ur-IN)
Dialects covered
5
Typical programme
250-1,000 hours
Cities
Hyderabad, Lucknow, Delhi
01

What changes when the language is Urdu

The service specification stays constant across languages; the linguistics do not. For Urdu, three things drive the design of a call-centre speech programme.

  • Shares most phonology with Hindi but adds Perso-Arabic phonemes (/q/, /x/, /ɣ/, /z/, /f/) that many speakers merge
  • Dialect spread: Dakhini (Hyderabad), Lucknawi, Dehlvi, Bihari Urdu
  • Spoken Urdu and spoken Hindi are largely mutually intelligible; the distinction is mainly lexical and orthographic. Decide up front whether transcription is in Nastaliq, Devanagari, or both.
Call-centre speech — Urdu · written into the SOW before recordingChannel8 kHz narrowband telephony plus 48 kHz reference where requ…CodecG.711 / Opus simulated to match your stackStructureAgent and customer on separate channelsScenariosBilling, delivery, KYC, recharge, collections, support, sal…EmotionNeutral, frustrated and escalated variants on requestYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
Channel8 kHz narrowband telephony plus 48 kHz reference where required
CodecG.711 / Opus simulated to match your stack
StructureAgent and customer on separate channels
ScenariosBilling, delivery, KYC, recharge, collections, support, sales
EmotionNeutral, frustrated and escalated variants on request
Annotator labelling audio segments and speaker turns — supporting urdu call centre speech data
Annotator labelling audio segments and speaker turns
03

Urdu cohort design

Fix the script decision before fielding; retro-transcribing a Nastaliq dataset into Devanagari after delivery costs as much as the original transcription pass.

DimensionTypical splitWhy it matters for Urdu
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 Urdu forms that younger urban speakers have lost
RegionUttar Pradesh / Telangana / Bihar 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

  • Scenario library built from your call taxonomy
  • Agent-side speakers briefed on your script and tone
  • Recording over the specified codec path
  • Transcription with intent and outcome labels
  • Delivery with per-scenario counts
05

Urdu-specific quality rules

  • Right-to-left Nastaliq tooling errors and diacritic loss
  • Merged phonemes transcribed by sound rather than by etymology, or vice versa, inconsistently
  • Dakhini forms replaced with standard Urdu

Narrowband is simulated at capture time, not by downsampling clean studio audio, which would leave unrealistic artefacts.

06

Deliverables

  • Dual-channel call audio
  • Verbatim transcripts
  • Intent, outcome and sentiment labels
  • Scenario coverage matrix
07

Worked example

A representative Urdu call-centre speech engagement: 250 hours from 500 speakers, 50/50 gender, ages 18-45, spread across Hyderabad, Lucknow, Delhi, recorded to the specification above and delivered in WAV with a per-utterance manifest.

Timeline: 3-6 weeks for 100-250 hours.

08

Where this data is missing today

Indian Urdu specifically, and Dakhini in particular, are absent from public data dominated by Pakistani Urdu broadcast speech.

Frequently asked

How much does Urdu call-centre speech cost?

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

Which Urdu dialects are included?

By default Dakhini (Hyderabad), Lucknawi, Dehlvi, Bihari Urdu and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Urdu data in our format?

Yes. Dual-channel call audio is the default, but naming, schema and directory structure follow your pipeline.

How long does a Urdu programme take?

3-6 weeks for 100-250 hours.

Request a Urdu call-centre speech quote

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

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