South Asia · Kannada
Kannada Podcast Speech Dataset
Kannada podcast speech 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 podcast speech in Kannada is its own problem
Kannada podcast and interview shows are produced mostly in Bangalore, and their register is the urban one — English terms throughout, switching rising whenever the topic turns technical. Two things are specific here. The standard format is two or three hosts in conversation, so overlapping turns and laughter are continuous rather than occasional, and diarization carries most of the cost. And episodes splice scripted material — sponsor reads, quoted news, film dialogue — into improvised talk; those segments are read, not spoken, and left in place they skew the episode's language statistics.
The field to pin down first: Decide whether scripted segments (sponsor reads, quoted material) are cut and labelled separately from improvised talk — they are read rather than spoken, and mixing them into the episode statistics hides the register split.
At a glance
| Language | Kannada |
|---|---|
| Primary region | South Asia |
| Writing system | Kannada |
| Category | Podcast Speech |
| Specification field to settle first | Decide whether scripted segments (sponsor reads, quoted material) are cut and labelled separately from improvised talk — they are read rather than spoken, and mixing them into the episode statistics hides the register split. |
| Delivery | Sourced to order, pilot batch before the full run |
What podcast speech data is
Long-form podcast and interview audio, either solo monologue or two-person conversation, used for long-form speech recognition and speaker modeling.
What buyers get wrong about it
Copyright and transcription quality are the two big traps with podcast material. Public podcasts cannot be used commercially as they are; you either license them or record original content.
The specification field that decides the quote
Whether speaker diarization annotation is required — it is the most labor-intensive item in long-form audio.
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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Read and conversational speech
Scripted recording for TTS, and unscripted conversation for recognition. Specified separately because they need different speaker pools.
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Transcription to your convention
Orthographic or phonetic, with the guideline written before production and shared with you for review.
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Speaker metadata
Age band, gender, region and dialect background per file, so you can slice the dataset rather than take it whole.
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Consent documentation
Signed speaker 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
Audio format, sampling rate, segmentation length and metadata schema set to your pipeline's requirements.
What arrives in a delivery
| Component | What it is |
|---|---|
| Audio files | Format, sampling rate and segmentation length set to your pipeline. Named to a convention you specify. |
| Transcription | Orthographic or phonetic, produced under a guideline you review before production starts. |
| Speaker metadata | Age band, gender, region and dialect background per file, plus a speaker identifier so the dataset can be sliced. |
| Recording conditions | Environment, device and, where relevant, measured signal-to-noise ratio per file. |
| Annotation guideline | The document the annotators worked from, so you can reproduce the conventions on your own data. |
| Consent records | Signed speaker consent covering your intended use, with the transfer mechanism addressed where required. |
| Collection methodology | How speakers 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 Podcast Speech
How many distinct speakers can you provide for Kannada Podcast Speech?
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. Decide whether scripted segments (sponsor reads, quoted material) are cut and labelled separately from improvised talk — they are read rather than spoken, and mixing them into the episode statistics hides the register split.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Kannada podcast and interview shows are produced mostly in Bangalore, and their register is the urban one — English terms throughout, switching rising whenever the topic turns technical. 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 Podcast Speech 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 Multilingual Speech
Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.
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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.
Podcast Speech in other languages
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Nepali Podcast Speech
South Asia
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Sinhala Podcast Speech
South Asia
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Bangla Podcast Speech
South Asia
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Khmer Podcast Speech
Southeast Asia
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Arabic (Egyptian) Podcast Speech
Middle East & North Africa
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Arabic (Gulf) Podcast Speech
Middle East & North Africa
Request Kannada Podcast Speech
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.