South Asia · Sinhala
Sinhala Podcast Speech Dataset
Sinhala 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 Sinhala is its own problem
Sinhala podcasts embed English words densely, especially tech and business shows. Across long-form audio those loanwords can accumulate to a high share, and without annotation the buyer has no way to judge the true language makeup of the data.
The field to pin down first: A loanword share statistic has to be delivered, along with a statement of whether loanwords are tagged separately.
At a glance
| Language | Sinhala |
|---|---|
| Primary region | South Asia |
| Writing system | Sinhala |
| Category | Podcast Speech |
| Specification field to settle first | A loanword share statistic has to be delivered, along with a statement of whether loanwords are tagged separately. |
| 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 Sinhala demands
Everyday Sinhala conversation is heavily embedded with English words, especially in the Colombo urban belt. Treating this mixed speech as pure Sinhala strips out high-frequency loanwords as if they were errors.
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 Sinhala Podcast Speech
How many distinct speakers can you provide for Sinhala 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. A loanword share statistic has to be delivered, along with a statement of whether loanwords are tagged separately.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Sinhala podcasts embed English words densely, especially tech and business shows. 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 Sinhala 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 Sinhala
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Sinhala Singing Voice
Vocal recordings with melody, in both a cappella and accompanied form, used for singing voice synthesis, music information retrieval, and lyric alignment.
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Sinhala Speech Commands
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.
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Sinhala Read Speech
Recordings of speakers reading specified text, with clear pronunciation and known text, the base material for TTS and ASR.
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Sinhala Multilingual Speech
Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.
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Sinhala 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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Sinhala Code-Switching Speech
Speech that mixes two or more languages inside a single utterance — Hinglish, Spanglish, Taglish — used for recognition in real spoken settings.
Podcast Speech in other languages
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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
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Kannada Podcast Speech
South Asia
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Punjabi Podcast Speech
South Asia
Request Sinhala 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.