South Asia · Kannada

Kannada Speech Commands Dataset

Kannada speech commands sourced to your specification — no inventory, no fixed listing. This page covers what is specifically hard about this pairing, and which fields your specification needs to pin down.

Why speech commands in Kannada is its own problem

Kannada command vocabulary works through a light-verb construction: speakers attach an English word to the Kannada verb meaning 'do' and inflect that, so the everyday word for 'delete' is a hybrid whose second half is a Kannada verb carrying tense and person. Neither pure Kannada nor pure English entries match what users say, and whether a hybrid counts as one entry or two has to be settled while the list is written. The imperative also inflects for the speaker's relationship to the listener: familiar and polite forms of one command are different words, not one word with an optional particle.

The field to pin down first: Every entry declares its imperative register (familiar / polite), and the list states how English-plus-light-verb hybrids are counted — one entry or two. Both decisions are made before recording starts.

At a glance

LanguageKannada
Primary regionSouth Asia
Writing systemKannada
CategorySpeech Commands
Specification field to settle firstEvery entry declares its imperative register (familiar / polite), and the list states how English-plus-light-verb hybrids are counted — one entry or two. Both decisions are made before recording starts.
DeliverySourced to order, pilot batch before the full run

What speech commands data is

Targeted recordings of short command words or phrases, usually with many speakers reading each entry several times over, used for wake words and on-device command recognition.

What buyers get wrong about it

What buyers consistently underestimate is the repetition count — a single command entry needs at least a few dozen distinct speakers, each reading it multiple times, to cover pronunciation variation.

The specification field that decides the quote

Once the word list is locked it cannot change; adding words midway means starting a new batch.

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.

More on Kannada speech data →

What we can put in this delivery

  • Read and conversational speech

    Scripted recording for TTS, and unscripted conversation for recognition. Specified separately because they need different speaker pools.

  • Transcription to your convention

    Orthographic or phonetic, with the guideline written before production and shared with you for review.

  • Speaker metadata

    Age band, gender, region and dialect background per file, so you can slice the dataset rather than take it whole.

  • Consent documentation

    Signed speaker consent covering the intended use, plus collection methodology and the annotation guideline.

  • Pilot batch

    A small batch first, which you can reject. Misalignments surface after a few hours rather than at delivery.

  • Delivery in your format

    Audio format, sampling rate, segmentation length and metadata schema set to your pipeline's requirements.

What arrives in a delivery

ComponentWhat it is
Audio filesFormat, sampling rate and segmentation length set to your pipeline. Named to a convention you specify.
TranscriptionOrthographic or phonetic, produced under a guideline you review before production starts.
Speaker metadataAge band, gender, region and dialect background per file, plus a speaker identifier so the dataset can be sliced.
Recording conditionsEnvironment, device and, where relevant, measured signal-to-noise ratio per file.
Annotation guidelineThe document the annotators worked from, so you can reproduce the conventions on your own data.
Consent recordsSigned speaker consent covering your intended use, with the transfer mechanism addressed where required.
Collection methodologyHow speakers were recruited, screened and scheduled — the part that tells you how biased the pool is.
Quality reportPilot outcome, re-work log, and the annotator agreement figures where the task supports measuring them.

Questions we get about Kannada Speech Commands

How many distinct speakers can you provide for Kannada Speech Commands?

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. Every entry declares its imperative register (familiar / polite), and the list states how English-plus-light-verb hybrids are counted — one entry or two. Both decisions are made before recording starts.

Can you annotate to our own guideline instead of the default?

Yes, and for this pairing we would recommend it. Kannada command vocabulary works through a light-verb construction: speakers attach an English word to the Kannada verb meaning 'do' and inflect that, so the everyday word for 'delete' is a hybrid whose second half is a Kannada verb carrying tense and person. 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 Speech Commands 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

  • Kannada Read Speech

    Recordings of speakers reading specified text, with clear pronunciation and known text, the base material for TTS and ASR.

  • Kannada Podcast Speech

    Long-form podcast and interview audio, either solo monologue or two-person conversation, used for long-form speech recognition and speaker modeling.

  • Kannada Multilingual Speech

    Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.

  • 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.

  • 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.

  • Kannada Children Speech

    Speech data from child speakers, grouped by age band, used for children's speech recognition and children's education products.

All Kannada data →

Request Kannada Speech Commands

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.

We reply within two business days. Your details are used only to answer this request. See our privacy policy.

Contact

Talk to a human

Send a specification and we will come back with a real number and timeline.

Submit a sourcing request

Or email hello@linguacorpus.com