aidataservices.inAI data collection · India

Conversational speech · ಕನ್ನಡ

Kannada 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 Kannada, where north karnataka speech has markedly different intonation and lexicon from mysuru standard.

Request a dataset quoteReply within one working day
Two speakers recording natural conversational speech data — Kannada Conversational Speech Data
Language
Kannada (kn-IN)
Dialects covered
5
Typical programme
250-1,000 hours
Cities
Bengaluru, Mysuru, Hubballi-Dharwad
01

What changes when the language is Kannada

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

  • North Karnataka speech has markedly different intonation and lexicon from Mysuru standard
  • Dialect spread: Bangalore urban, Mysuru (standard literary), Dharwad / North Karnataka, Mangaluru coastal
  • Bengaluru is a migration city: Kannada speech there is mixed with English, Hindi, Tamil and Telugu. Native-only Kannada cohorts recruited in Bengaluru are hard to fill without screening for years of residence.
Conversational speech — Kannada · 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 kannada conversational speech data
Audio QC engineer inspecting waveforms and spectrograms
03

Kannada cohort design

Screen Bengaluru participants for native fluency and years of Karnataka residence; otherwise the cohort drifts towards second-language Kannada.

DimensionTypical splitWhy it matters for Kannada
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 Kannada forms that younger urban speakers have lost
RegionKarnataka / parts of Maharashtra, Tamil Nadu and Andhra Pradesh 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

Kannada-specific quality rules

  • Northern lexical items replaced with standard equivalents
  • Inconsistent transliteration of English technical terms
  • Sandhi in connected speech transcribed as separate words by some annotators and joined by others

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 Kannada conversational speech engagement: 250 hours from 500 speakers, 50/50 gender, ages 18-45, spread across Bengaluru, Mysuru, Hubballi-Dharwad, 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

Mysuru/Bengaluru standard dominates. North Karnataka (Dharwad, Kalaburagi) and coastal Mangaluru speech are barely represented in any public corpus.

Frequently asked

How much does Kannada conversational speech cost?

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

Which Kannada dialects are included?

By default Bangalore urban, Mysuru (standard literary), Dharwad / North Karnataka, Mangaluru coastal and others, tagged per speaker. You can also commission a single-dialect corpus if you are targeting one region.

Can you deliver Kannada 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 Kannada programme take?

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

Request a Kannada conversational speech quote

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

Request a dataset quote