South Asia · Kannada
Kannada Multilingual Speech Dataset
Kannada Multilingual Speech delivered to your specification. A catalog entry, not a stock listing. This page covers what is specifically hard about this pairing, and which fields your specification needs to pin down.
Why Multilingual Speech in Kannada is its own problem
In a multilingual project Kannada looks like a clean block: it is not mutually intelligible with Telugu or Tamil, so language identification separates it reliably and the usual neighbour-language confusion does not arise. The mixing happens inside the state. Karnataka's coastal belt is multilingual (Tulu, Konkani, and Beary are spoken in the same households as Kannada), and Urdu words are woven into northern everyday Kannada. Sessions there routinely contain whole clauses in another language, and the label scheme must decide whether they get their own labels or count as borrowings.
The field to pin down first: State whether Tulu, Konkani, and Urdu material inside Kannada recordings gets its own language label or is treated as borrowing: coastal and northern Karnataka speakers mix them in as a matter of course, and an unlabelled mix leaves the batch's composition unexplainable.
At a glance
| Language | Kannada |
|---|---|
| Primary region | South Asia |
| Writing system | Kannada |
| Category | Multilingual Speech |
| Specification field to settle first | State whether Tulu, Konkani, and Urdu material inside Kannada recordings gets its own language label or is treated as borrowing: coastal and northern Karnataka speakers mix them in as a matter of course, and an unlabelled mix leaves the batch's composition unexplainable. |
| Delivery | Sourced to order, pilot batch before the full run |
What Multilingual Speech data is
Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.
What buyers get wrong about it
The biggest risk in a multilingual project is uneven quality: annotation teams for different languages work to different standards, and once merged they drag each other down.
The specification field that decides the quote
Speaker count, hours, and recording conditions must be listed per language; a combined total does not cut it.
The language side: what Kannada demands
Kannada has more than a dozen regional dialects, but only a few have a written tradition. That rules out transcribing dialect speech against a standard script, so the specific dialects to be collected have to be fixed first.
What we can put in this delivery
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Collection to your specification
Scripted or unscripted, in the language, domain and conditions your task needs. Specified separately where the variants need different contributor pools.
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Labels to your convention
Orthographic, phonetic or categorical, with the guideline written before production and shared with you for review.
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Contributor metadata
The attributes that let you slice the set rather than take it whole. The ones your task turns on, not a fixed list.
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Consent documentation
Signed contributor consent covering the intended use, plus collection methodology and the annotation guideline.
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Pilot batch
A small batch first, which you can reject. Misalignments surface after a few hours rather than at delivery.
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Delivery in your format
File format, structure, segmentation and metadata schema set to your pipeline's requirements.
What arrives in a delivery
| Component | What it is |
|---|---|
| The data files | Format, structure and segmentation set to your pipeline. Named to a convention you specify. |
| Labels or transcription | Orthographic, phonetic or categorical, produced under a guideline you review before production starts. |
| Contributor metadata | The attributes that let you slice the set: age band, gender, region, dialect background, or whatever your task turns on. |
| Collection conditions | Environment, device and, where it can be measured, signal quality: recorded per file. |
| Annotation guideline | The document the annotators worked from, so you can reproduce the conventions on your own data. |
| Consent records | Signed contributor consent covering your intended use, plus cross-border transfer terms where they apply. |
| Collection methodology | How contributors were recruited, screened and scheduled. The part that tells you how biased the pool is. |
| Quality report | Pilot outcome, re-work log, and the annotator agreement figures where the task supports measuring them. |
Questions we get about Kannada Multilingual Speech Dataset
How many distinct speakers can you provide for Kannada Multilingual Speech Dataset?
It depends on the specification and the timeline, and we will give a real number rather than a target. For this pairing, speaker recruitment is usually the step that sets the schedule. State whether Tulu, Konkani, and Urdu material inside Kannada recordings gets its own language label or is treated as borrowing: coastal and northern Karnataka speakers mix them in as a matter of course, and an unlabelled mix leaves the batch's composition unexplainable.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. In a multilingual project Kannada looks like a clean block: it is not mutually intelligible with Telugu or Tamil, so language identification separates it reliably and the usual neighbour-language confusion does not arise. That is exactly the kind of decision a default guideline leaves open, and it is where annotators diverge. Send us your guideline, or we will draft one and you can review it before production starts.
Do you offer a sample before we commit to a full run?
Yes. Select a free sample in the request form and describe what you need. A pilot batch is the cheapest way to establish whether the quality bar is reachable for Kannada Multilingual Speech Dataset before committing to the full volume.
Is the data licensed or owned outright?
Licensing terms are set per project, so tell us how the model will be used and whether it will be distributed. Consent documentation travels with the data either way, and we do not handle medical or clinical data or recorded telephone calls.
Other datasets in Kannada
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Kannada Noisy Speech
Speech collected under background noise (street, in-car, restaurant, office and other real environments), used for noise-robust models and speech enhancement.
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Kannada Code-Switching Speech
Speech that mixes two or more languages inside a single utterance (Hinglish, Spanglish, Taglish), used for recognition in real spoken settings.
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Kannada Children Speech
Speech data from child speakers, grouped by age band, used for children's speech recognition and children's education products.
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Kannada Audiobook
Continuous long-form narration in audiobook style, steady in intonation and generous in duration, the main source material for high-quality TTS.
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Kannada Short Video Speech
Speech in the talking-head style of short video (fast, emotionally strong, colloquial), used for short video subtitles and content understanding.
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Kannada Live Stream Speech
Long-session spoken content from live streams (host monologue and responses to audience interaction), unscripted and spoken quickly.
Request Kannada Multilingual Speech Dataset
Tell us the language, the hours, and what the data needs to look like. You will get a real number and a real timeline, not a range. If we cannot source it well, we will tell you that instead.
- Pilot batch before the full run, so problems surface early.
- Consent documentation delivered with the data.
- No medical or clinical data. No recorded telephone calls.
- You send the spec Language, hours, recording conditions, and the deadline.
- We reply within two business days A real number and a real timeline, not a range.
- You approve a pilot batch A small run first, so problems surface before the full order.
- Full run, then delivery with documents Audio, transcripts, and the consent record for every speaker.