# OTS Kannada Speech Dataset

> Roughly 500 hours of Kannada speech, prompts and conversations, already recorded and ready to license, with transcripts and metadata for every recording and consent from every speaker for commercial AI training.

Source: https://indecalai.com/datasets/ots/kannada-speech-dataset/
Last updated: 2026-10-27
Publisher: IndecalAI (https://indecalai.com/)

## Key facts

| | |
|---|---|
| Language | Kannada (kn) |
| Hours | Roughly 500, already recorded |
| Content | A mix of scripted prompts and natural conversations |
| Devices | Mobile phones, laptops and studio microphones |
| Environments | Quiet rooms and noisy, everyday settings |
| Transcripts | Included with every recording |
| Metadata | Speaker details (such as gender and age), device and setting for each recording |
| Formats | WAV, OGG and other common formats |
| Consent | Every speaker consented to commercial AI training |
| Licence | Agreed with each customer, in writing |
| Price | Quoted per order |
| Samples | Sample clips and a spec sheet on request |
| Contact | contact@indecalai.com, reply within one business day |

Our OTS Kannada speech dataset is roughly 500 hours of Kannada speech, prompts and conversations, already recorded by Kannada speakers in our 30,000+ network, with consent from every speaker for commercial AI training. License it now and train your Kannada speech recognition model without waiting on a new collection.

- ~500 h of Kannada in stock
- ~35,000 h across the OTS pool
- 100% of speakers consented

## What's in the Kannada speech dataset?

The IndecalAI OTS Kannada speech dataset is roughly 500 hours of Kannada speech, prompts and conversations, recorded by Kannada speakers in our network who all consented to commercial AI training. It's already recorded, so you can license it now instead of waiting on a new collection.

Kannada is the language of Karnataka, home to Bengaluru, India's tech capital. Voice products built there often need Kannada alongside English and Hindi.

Every recording comes with a transcript and metadata about the speaker, the device and the setting, and you can take it as WAV, OGG or another common format. Every order starts with sample clips and a spec sheet, so you can match the data against your model before you agree a licence.

Need more than what's in stock? Kannada speakers from our 30,000+ network record new speech to your brief, and our [Kannada data page](https://indecalai.com/datasets/languages/kannada.html) covers what we collect to order.

### Kannada speech dataset at a glance

- **Hours**: Roughly 500 hours, already recorded
- **Language**: Kannada (ಕನ್ನಡ), kn
- **Content**: Speech, prompts and conversations
- **Consent**: Every speaker consented to commercial AI training
- **Speakers**: Kannada speakers from our 30,000+ network
- **Audio and transcripts**: Transcripts and metadata with every recording, in WAV, OGG and more
- **Licence**: Terms agreed with each customer, in writing
- **Price**: Quoted per order
- **Samples**: Kannada sample clips sent in reply to your request
- **Security**: ISO 27001 certified. SOC 2 report available under NDA. GDPR DPAs and HIPAA BAAs on request.

## What comes with every Kannada recording

Every Kannada recording arrives with the details you need to filter, balance and test, in the audio format your pipeline already reads.

| Detail | In the Kannada dataset |
|---|---|
| Speech types | A mix of scripted prompts and natural conversations |
| Recording devices | Mobile phones, laptops and studio microphones |
| Environments | Quiet rooms and noisy, everyday settings |
| Transcripts | Included with every recording |
| Speaker metadata | Speaker details, such as gender and age, for each recording |
| Recording metadata | The device and the setting for each recording |
| Audio formats | WAV, OGG and other common formats |
| Sample rates | Listed for each recording on the spec sheet |

## What roughly 500 hours of Kannada speech looks like

Five hundred hours is easy to say and hard to picture. Played back to back, it's about 21 days of Kannada speech without a break, far more than any team can listen to before buying. That's why every order starts with sample clips and a spec sheet.

Hours here are recorded audio. When you compare quotes, check whether each one counts audio hours or only the parts where someone is talking.

- ~500 hours of Kannada speech
- ~30,000 minutes
- ~1.8M seconds of audio
- ~21 days, played back to back

## Kannada at a glance, for speech teams

The facts that shape a Kannada speech project, from who speaks it to how it's written. Our [Kannada data page](https://indecalai.com/datasets/languages/kannada.html) covers what we collect to order.

- **Speakers**: ~59 million. People speak Kannada as a first or second language, about 44 million of them natively (Ethnologue, 2026).
- **Where it's spoken**: Karnataka. The official language of Karnataka, including Bengaluru.
- **Script**: ಕನ್ನಡ ಲಿಪಿ Kannada script. A rounded abugida written left to right, close to the Telugu script.
- **Family**: Dravidian. A Dravidian language, related to Telugu, Tamil and Malayalam.
- **Varieties**: Regional. Bengaluru, Mysuru, coastal and northern Karnataka speech differ in sounds and words.
- **Codes**: kn · kan. ISO 639-1 and ISO 639-3 codes. Locales speech APIs often use: kn-IN.

Related languages: [Telugu](https://indecalai.com/datasets/ots/telugu-speech-dataset/), [Tamil](https://indecalai.com/datasets/ots/tamil-speech-dataset/), [Malayalam](https://indecalai.com/datasets/ots/malayalam-speech-dataset/) and [Konkani](https://indecalai.com/datasets/languages/konkani.html). Speaker figures are from Ethnologue (2026).

## Kannada speech dataset, voice dataset or speech corpus?

Buyers search for the same data under different names. Here's what each one usually means, and how our Kannada data fits.

- **Kannada speech dataset**: The general term. Recorded Kannada speech with details about each recording, for training and testing speech models. The name this page uses.
- **Kannada voice dataset**: Usually the same thing. Some teams mean voice for text-to-speech or speaker recognition, which needs cleaner audio. Part of our data was recorded in a studio, so ask for those recordings.
- **Kannada audio dataset**: A wider term. It can include music or background sound. Ours is speech audio: Kannada speech, prompts and conversations.
- **Kannada speech corpus**: The research name. A structured collection of recordings and their details. Commercial datasets are corpora too, licensed instead of published.
- **Kannada ASR or speech-to-text dataset**: Speech plus what was said. For training a model that turns Kannada audio into text. Every recording in our Kannada dataset comes with a transcript.
- **Kannada speech recognition data**: Speech plus what was said. For training a model that turns Kannada audio into text. Every recording in our Kannada dataset comes with a transcript.

## What makes Kannada hard for speech recognition

Where Kannada speech recognition usually goes wrong, and how to spot it in a sample before you buy.

### English words inside Kannada sentences

Kannada speakers, especially in Bengaluru, mix in a lot of English. A model trained only on formal Kannada stumbles on that, so listen for it in a sample.

### Kannada script or Roman

Kannada is written in its own script, but many people type it in Latin letters. Decide which script your model should output, then check the transcripts.

### Accents across Karnataka

Bengaluru, Mysuru, Mangaluru and Dharwad speech carry different sounds and words. Check that the speaker mix covers the regions your users come from.

### Written and spoken forms

Spoken Kannada shortens many written forms, so the audio and the spelling differ. Transcripts have to agree on which form is written.

## What teams build with a Kannada speech dataset

The projects Kannada speech data usually ends up in. They describe the work, not who it was for.

### Kannada speech recognition

Train or fine-tune a Kannada speech-to-text model, or adapt a multilingual model so it handles Kannada well. See: [Transcription](https://indecalai.com/services/transcription.html)

### Voice bots and IVR

Teach a voice bot how Kannada callers actually ask for things, in the words and accents they use. See: [Conversational AI data](https://indecalai.com/services/conversational-ai-data.html)

### Customer service calls

Kannada speech for models that route, transcribe or summarize customer calls about accounts, orders and claims. See: [Speech data](https://indecalai.com/speech-data.html)

### Voice in the car and at home

A Kannada base for in-car assistants and smart devices, before recording commands in the real setting. See: [Data collection](https://indecalai.com/services/data-collection.html)

### Support and speech analytics

Kannada conversations for models that find intent, sentiment or topics in support calls and chats. See: [Annotation and labeling](https://indecalai.com/services/data-annotation.html)

### Testing a Kannada model

Held-back Kannada recordings your model never trained on, to measure word and character error rate before launch. See: [Data and model evaluation](https://indecalai.com/services/model-evaluation.html)

## How many hours of Kannada speech do you need?

It depends on the model you start from and how close your users sound to the training data. These are rough starting points that come up often in speech work. Your own tests should decide.

| Goal | Rough starting point | With our Kannada data |
|---|---|---|
| Test a model you already have | A few hours your model never trained on | A test set cut from stock and kept out of training |
| Fine-tune a multilingual model, such as Whisper or wav2vec 2.0 | Tens to a few hundred hours | Roughly 500 hours in stock covers it |
| Adapt to one domain, like banking calls | A smaller set that sounds like your users | Stock as a base, plus a custom top-up in your domain |
| Train a Kannada model from scratch | Thousands of hours | Stock as a base, plus a larger custom collection |

## Free Kannada speech datasets or a licensed one?

Public corpora such as Mozilla Common Voice, IndicVoices, OpenSLR Kannada and FLEURS have done a lot for Kannada speech research. They cover what their creators chose to record, like read sentences, crowd recordings or broadcast speech, and each comes with its own licence and terms of use. Here's how they compare with a licensed dataset.

| Topic | Public Kannada corpora | Our Kannada speech dataset |
|---|---|---|
| Licence | Set by each corpus, and some limit redistribution or changes | Agreed with you in writing, for what you're building |
| Consent | Covered by each project's own terms | Every speaker consented to commercial AI training |
| What it sounds like | Whatever the project recorded | Speech, prompts and conversations, with sample clips first |
| Who else trains on it | Anyone who downloads it | Set in the licence we agree with you |
| Filling gaps | Up to you | Recorded to your brief by the same network |
| Support | Community forums | A named contact from sample to delivery |

## How to check a Kannada speech sample

Six things to check before you license, and where to look for each. Use it on every vendor you compare.

| Check | What to look for | Where to find it |
|---|---|---|
| Accents | Speakers from the regions your users come from | The speaker mix on the spec sheet, and the clips |
| Everyday speech | The way your users really talk, including any mixing with other languages | Listen to the clips |
| Script | Transcripts in the script and spelling your model should output | The transcript format on the spec sheet |
| Audio | A sample rate and recording setup close to your product | The sample rate on the spec sheet |
| Numbers | Amounts, dates and phone numbers written one consistent way | Transcripts of the clips |
| Rights | Consent that covers commercial AI training, and a licence that fits | Ask for the licence terms before you buy |

## From Kannada sample clips to licensed data

Your named contact runs it from the first question to delivery.

1. **Ask**: Tell us how many Kannada hours you need and what the model is for. You get: A reply within one business day
2. **Sample and spec sheet**: We send Kannada sample clips and the spec sheet in reply. You get: Kannada clips and the spec sheet
3. **Licence and quote**: We agree the licence terms and send a quote for the order. You get: Written licence terms and a quote
4. **Delivery**: The licensed Kannada speech is delivered to you. You get: Licensed Kannada speech with transcripts
5. **[Fill the gaps](https://indecalai.com/services/data-collection.html)**: Accents, devices or domains that are missing get recorded to your brief. You get: New Kannada speech, recorded to your brief

## Kannada speech data terms

The words that come up when you buy or build Kannada speech data. The full [glossary](https://indecalai.com/glossary.html) covers every data type.

- **Abugida**: A script where each consonant carries a vowel that marks change, as in Kannada.
- **Code-mixing**: Switching between languages inside one sentence, such as Kannada with English words.
- **Tulu**: A related Dravidian language spoken on the Karnataka coast, often heard alongside Kannada.
- **Speaker metadata**: Details recorded about each speaker, such as gender and age, that let you check the speaker mix against your users.
- **OTS dataset**: Short for off-the-shelf dataset: data already collected and ready to license before a buyer asks for it, instead of recorded to one buyer's brief.
- **Word error rate (WER)**: The share of words a speech model gets wrong against a reference transcript. Lower is better.
- **Character error rate (CER)**: The same idea counted in characters, often used alongside WER, since small spelling differences can make WER look worse than the model is.
- **Utterance**: One stretch of speech by one speaker, such as a single prompt read aloud or one turn in a conversation.

## More Kannada and speech data

Every language in stock is on the [off-the-shelf speech datasets](https://indecalai.com/datasets/ots/) page. Related speech datasets: [Telugu](https://indecalai.com/datasets/ots/telugu-speech-dataset/), [Tamil](https://indecalai.com/datasets/ots/tamil-speech-dataset/) and [Malayalam](https://indecalai.com/datasets/ots/malayalam-speech-dataset/).

- [OTS speech datasets](https://indecalai.com/datasets/ots/): Around 35,000 hours across languages, ready to license.
- [Kannada data to your brief](https://indecalai.com/datasets/languages/kannada.html): Kannada speech, text and translation, collected to order.
- [Transcription](https://indecalai.com/services/transcription.html): Kannada audio turned into timed text, checked by people.
- [Indian language data](https://indecalai.com/indian-language-data.html): Beyond Kannada, across the languages of India.
- [Data and model evaluation](https://indecalai.com/services/model-evaluation.html): Held-back Kannada speech scored against your targets.

### More speech datasets you may need

- [Telugu speech dataset](https://indecalai.com/datasets/ots/telugu-speech-dataset/)
- [Tamil speech dataset](https://indecalai.com/datasets/ots/tamil-speech-dataset/)
- [Malayalam speech dataset](https://indecalai.com/datasets/ots/malayalam-speech-dataset/)
- [Hindi speech dataset](https://indecalai.com/datasets/ots/hindi-speech-dataset/)
- [Bengali speech dataset](https://indecalai.com/datasets/ots/bengali-speech-dataset/)
- [Urdu speech dataset](https://indecalai.com/datasets/ots/urdu-speech-dataset/)
- [Marathi speech dataset](https://indecalai.com/datasets/ots/marathi-speech-dataset/)
- [Gujarati speech dataset](https://indecalai.com/datasets/ots/gujarati-speech-dataset/)

## Questions about the Kannada speech dataset

Straight answers about licensing Kannada speech. The [off-the-shelf FAQ](https://indecalai.com/datasets/ots/#faq) covers questions that apply to every language.

### Do you have a Kannada speech dataset ready to license?

Yes. Roughly 500 hours of Kannada speech, prompts and conversations are already recorded and ready to license, as part of our off-the-shelf speech pool.

### What's in the Kannada speech dataset?

A mix of scripted prompts and natural conversations in Kannada, recorded on mobile phones, laptops and studio microphones, in quiet and noisy settings. Every recording comes with a transcript and metadata about the speaker, the device and the setting, in WAV, OGG or another common format.

### Does it include Kannada-English mixed speech?

Everyday Kannada often includes English words, so ask how much mixed speech is in the hours you'd license. The sample clips let you hear it before you commit.

### Did every speaker consent to AI training?

Yes. Every speaker gave consent for their recordings to be used for commercial AI training.

### How is the Kannada dataset licensed?

Licence terms are agreed with each customer, in writing, before delivery. That includes how you can use the data and whether anyone else can license the same recordings.

### How much does the Kannada speech dataset cost?

We quote each order on its own, based on the hours you need and the licence terms. Send your request and your named contact comes back with a quote.

### Can we hear Kannada samples first?

Yes. Ask and we send Kannada sample clips with the spec sheet, so you can check the audio before you commit.

### What if we need more than 500 hours, or a specific accent?

We collect it. Kannada speakers from our network record new speech to your brief, such as a region, an age group, a device or a domain, and it can sit alongside the hours you license from stock.

### Is this the same as a Kannada voice dataset or speech corpus?

For most uses, yes. Speech dataset, voice dataset, audio dataset and speech corpus are names for the same thing: recorded Kannada speech with details about each recording. If you need studio-quality voice for text-to-speech, ask for the recordings made in a studio.

### Can we use it as a Kannada speech-to-text (ASR) dataset?

Yes. Every recording comes with a transcript, so it's ready for training and testing Kannada speech-to-text models. The spec sheet shows the transcript style, so you can check it matches your pipeline before you license it.

### Why not use a free Kannada speech dataset?

Public Kannada corpora are a good start for research. Each one has its own licence and terms of use, and they cover what their creators chose to record, such as read sentences or broadcast speech. Read the licence before you train a commercial model on one, and check that it sounds like your users.

### What does OTS mean?

OTS stands for off-the-shelf: data that's already recorded and ready to license, instead of collected after you order. Our OTS Kannada speech dataset is roughly 500 hours.

### How many hours of Kannada speech do we need?

It depends on your starting model. A test set can be a few hours, fine-tuning a multilingual model often starts at tens to a few hundred hours, and training from scratch takes thousands. Your own tests should decide.

### Can we fine-tune Whisper or wav2vec 2.0 on it?

Yes. Teams commonly fine-tune open speech models like these on licensed Kannada speech, and every recording comes with a transcript in WAV, OGG or another common format. The spec sheet shows the transcript style, so you can plan any conversion before you train.

### Do you work with US teams?

Yes. We take calls in US Eastern mornings, which is evening in India. We're ISO 27001 certified, our SOC 2 report is available under NDA, and we sign GDPR data processing agreements and HIPAA business associate agreements on request.