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Conversational speech · हिन्दी

Hindi 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 Hindi, where four-way stop contrast (voiced/voiceless x aspirated/unaspirated) that collapses in models trained on english-first acoustic units.

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Two speakers recording natural conversational speech data — Hindi Conversational Speech Data
Language
Hindi (hi-IN)
Dialects covered
7
Typical programme
500-2,000 hours
Cities
Delhi, Lucknow, Jaipur
01

What changes when the language is Hindi

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

  • Four-way stop contrast (voiced/voiceless x aspirated/unaspirated) that collapses in models trained on English-first acoustic units
  • Dialect spread: Khari Boli, Awadhi, Braj, Bhojpuri-influenced Hindi
  • Urban Hindi speech is Hinglish in practice. Expect 15-40% English tokens in spontaneous speech: numbers, brands, technology terms, and whole clause switches. Any Hindi corpus that excludes English tokens will not match production traffic.
Conversational speech — Hindi · 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
Audio QC engineer inspecting waveforms and spectrograms — supporting hindi conversational speech data
Audio QC engineer inspecting waveforms and spectrograms
03

Hindi cohort design

Largest recruitment pool in the network. A 1,000-speaker Hindi cohort with balanced gender and 18-45 age bands is typically fielded across four cities to avoid a single-city accent bias.

DimensionTypical splitWhy it matters for Hindi
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 Hindi forms that younger urban speakers have lost
RegionUttar Pradesh / Bihar / Madhya Pradesh and othersDialect spread across 7 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

Hindi-specific quality rules

  • Inconsistent Devanagari vs romanised spelling for the same English loan word
  • Nukta characters (क़ ख़ ग़ ज़ फ़) applied inconsistently by transcribers
  • Numerals: whether to write digits, Devanagari numerals, or spelled-out words must be fixed in the style guide up front
  • Honorific verb forms create long agreement chains that annotators shorten unless the guide forbids it

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 Hindi conversational speech engagement: 500 hours from 1,000 speakers, 50/50 gender, ages 18-45, spread across Delhi, Lucknow, Jaipur, 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

Public Hindi corpora skew heavily towards read newspaper text from educated urban speakers in Delhi and NCR. Rural Bihar and eastern UP speech, elderly speakers, and low-literacy speakers reading prompts aloud are largely absent.

Frequently asked

How much does Hindi conversational speech cost?

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

Which Hindi dialects are included?

By default Khari Boli, Awadhi, Braj, Bhojpuri-influenced Hindi and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Hindi 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 Hindi programme take?

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

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

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