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Conversational speech · Hinglish

Hinglish 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 Hinglish, where intra-sentential switching means english words carry indian phonology, so english acoustic models mis-transcribe them.

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Two speakers recording natural conversational speech data — Hinglish Conversational Speech Data
Language
Hinglish (hi-Latn-IN)
Dialects covered
4
Typical programme
500-2,000 hours
Cities
Delhi, Gurugram, Noida
01

What changes when the language is Hinglish

The service specification stays constant across languages; the linguistics do not. For Hinglish, three things drive the design of a conversational speech programme.

  • Intra-sentential switching means English words carry Indian phonology, so English acoustic models mis-transcribe them
  • Dialect spread: Delhi corporate Hinglish, Mumbai Bambaiya, Call-centre register, Youth/social media register
  • Hinglish is the code-mixing case itself. Typical urban customer-support speech is 30-60% English tokens embedded in Hindi grammar, with switching several times per utterance.
Conversational speech — Hinglish · 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
Two-speaker conversational recording session in a studio — supporting hinglish conversational speech data
Two-speaker conversational recording session in a studio
03

Hinglish cohort design

Recruit by switching behaviour, not by language proficiency. Screening recordings are used to confirm speakers switch naturally rather than performing one language.

DimensionTypical splitWhy it matters for Hinglish
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 Hinglish forms that younger urban speakers have lost
RegionDelhi NCR / Mumbai / Bengaluru and othersDialect spread across 4 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

Hinglish-specific quality rules

  • Whether English tokens are written in Latin or transliterated into Devanagari must be fixed by rule, not left to annotators
  • Language-ID tagging per token is required for training but is skipped by most vendors
  • Ambiguous words shared by both languages need an explicit tie-break rule

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 Hinglish conversational speech engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Delhi, Gurugram, Noida, 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

Almost no public corpus contains genuine intra-sentential Hindi-English switching with per-token language tags. This is the highest-value gap for anyone building Indian conversational AI.

Frequently asked

How much does Hinglish conversational speech cost?

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

Which Hinglish dialects are included?

By default Delhi corporate Hinglish, Mumbai Bambaiya, Call-centre register, Youth/social media register and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Hinglish 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 Hinglish programme take?

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

Request a Hinglish conversational speech quote

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

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