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Conversational speech · اردو

Urdu Conversational Speech Data

Natural two-party and multi-party conversation recorded with separate channels per speaker, covering the overlaps, interruptions and turn-taking that scripted data never produces. 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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Two speakers recording natural conversational speech data — Urdu Conversational 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 conversational 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.
Conversational speech — Urdu · written into the SOW before recordingChannelsOne channel per speaker, time-alignedDuration15-60 minutes per conversationTopicsScenario cards, free topics, or your domain scriptsOverlapPreserved and tagged, never edited outMetadataRelationship between speakers, familiarity, topic, settingYour values replace ours rather than being converted after delivery.
02

Technical specification

ParameterStandard
ChannelsOne channel per speaker, time-aligned
Duration15-60 minutes per conversation
TopicsScenario cards, free topics, or your domain scripts
OverlapPreserved and tagged, never edited out
MetadataRelationship between speakers, familiarity, topic, setting
Speaker recording scripted prompts for a speech data collection project — supporting urdu conversational speech data
Speaker recording scripted prompts for a speech data collection project
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 design so conversations stay on-domain without becoming scripted
  • Speaker pairing by familiarity level as specified
  • Multi-channel recording with per-speaker isolation
  • Diarisation-ready packaging
  • Verbatim transcription with speaker turns and overlap tags
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

Conversations are checked for naturalness, not just audio quality. Sessions that drift into reading are rejected.

06

Deliverables

  • Per-speaker channels plus mixed reference
  • Turn-level transcripts
  • Overlap and backchannel tags
  • Conversation metadata
07

Worked example

A representative Urdu conversational 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: 4-7 weeks for 100-300 hours in one language.

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 conversational 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. Per-speaker channels plus mixed reference is the default, but naming, schema and directory structure follow your pipeline.

How long does a Urdu programme take?

4-7 weeks for 100-300 hours in one language.

Request a Urdu conversational speech quote

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

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