Speech data collection · ಕನ್ನಡ
Kannada Speech Data Collection
Recruited-speaker speech corpora recorded to a written specification: scripted prompts, spontaneous monologue, or both, with full speaker metadata. This page covers how that works specifically for Kannada, where north karnataka speech has markedly different intonation and lexicon from mysuru standard.
- Language
- Kannada (kn-IN)
- Dialects covered
- 5
- Typical programme
- 250-1,000 hours
- Cities
- Bengaluru, Mysuru, Hubballi-Dharwad
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 speech data collection 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.
Technical specification
| Parameter | Standard |
|---|---|
| Sample rate | 48 kHz capture, delivered at 48/16 kHz as required |
| Bit depth | 24-bit capture, 16-bit PCM delivery |
| Format | WAV (PCM), one file per utterance or per session |
| Channels | Mono per speaker; multi-channel on request |
| Noise floor | Studio sessions below -50 dBFS; field sessions specified per project |
| Clipping | Zero tolerance; clipped takes are re-recorded, not repaired |
Kannada cohort design
Screen Bengaluru participants for native fluency and years of Karnataka residence; otherwise the cohort drifts towards second-language Kannada.
| Dimension | Typical split | Why it matters for Kannada |
|---|---|---|
| Gender | 50 / 50 | Pitch range differences change acoustic model behaviour; unbalanced cohorts bias recognition |
| Age | 18-25: 30%, 26-40: 40%, 41-60: 30% | Older speakers retain conservative Kannada forms that younger urban speakers have lost |
| Region | Karnataka / parts of Maharashtra, Tamil Nadu and Andhra Pradesh and others | Dialect spread across 5 recognised varieties |
| Education | Mixed, including below-graduate | Prompt-reading fluency correlates with education and skews prosody |
| Condition | Studio / quiet room / field | Match the noise profile of your deployment |
Process
- Requirement lock: languages, hours, speaker count, demographic quotas, recording conditions
- Prompt design and linguistic review by native reviewers
- Speaker recruitment and screening against quota, with consent capture
- Recording sessions with real-time level and prompt-coverage monitoring
- Automated technical QA on every file (SNR, clipping, duration, silence)
- Native-speaker content QA on a defined sample, escalating to 100% on failure
- Packaging, manifest generation and delivery
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
Every file passes automated technical checks. Content QA is sampled at 10% by default and raised per batch when the failure rate crosses the agreed threshold.
Deliverables
- Audio files in the agreed format and naming convention
- Per-utterance manifest (speaker ID, prompt ID, duration, condition)
- Speaker metadata: age band, gender, region, dialect, education band
- Consent records mapped to speaker IDs
- QA report with pass rates and rejection reasons
Worked example
A representative Kannada speech data collection 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: Typical: 3-6 weeks for 100-500 hours in a single language; multi-language programmes run in parallel.
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 speech data collection 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. Audio files in the agreed format and naming convention is the default, but naming, schema and directory structure follow your pipeline.
How long does a Kannada programme take?
Typical: 3-6 weeks for 100-500 hours in a single language; multi-language programmes run in parallel.
Request a Kannada speech data collection quote
Hours, speakers, dialects, deadline. Send what you have.