Middle East & North Africa · Arabic (Perso-Arabic)
Persian In-the-Wild Speech Dataset
Persian in-the-wild 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 in-the-wild speech in Persian is its own problem
Persian in-the-wild transcription has to follow spoken usage entirely, and the elisions and connected speech of the spoken form are harder to make out under environmental noise. Annotators tend to lean too heavily on written-form knowledge to complete what they hear.
The field to pin down first: The speaker's regional variety must be logged per file — Tehrani, Esfahani, Mashhadi and Dari speakers are easy to pool and are not interchangeable for a dialect-aware model.
At a glance
| Language | Persian |
|---|---|
| Primary region | Middle East & North Africa |
| Writing system | Arabic (Perso-Arabic) |
| Category | In-the-Wild Speech |
| Specification field to settle first | The speaker's regional variety must be logged per file — Tehrani, Esfahani, Mashhadi and Dari speakers are easy to pool and are not interchangeable for a dialect-aware model. |
| Delivery | Sourced to order, pilot batch before the full run |
What in-the-wild speech data is
Speech collected under fully natural conditions — no studio, no topic constraints — as close to real usage as collection gets.
What buyers get wrong about it
Real and usable pull against each other — the more natural the audio, the harder it is to annotate. The balance has to be designed into the collection plan, not patched in afterward.
The specification field that decides the quote
Recording device (phone, headset, professional mic) and collection environment must be logged per file.
The language side: what Persian demands
Written Persian and spoken Tehrani Persian are far apart — verb endings, pronouns, and connected speech all shift in the colloquial form. Transcribing spoken recordings against the written form produces text that does not match the audio.
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 Persian In-the-Wild Speech
How many distinct speakers can you provide for Persian In-the-Wild 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. The speaker's regional variety must be logged per file — Tehrani, Esfahani, Mashhadi and Dari speakers are easy to pool and are not interchangeable for a dialect-aware model.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Persian in-the-wild transcription has to follow spoken usage entirely, and the elisions and connected speech of the spoken form are harder to make out under environmental noise. 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 Persian In-the-Wild 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 Persian
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Persian 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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Persian 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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Persian 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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Persian 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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Persian 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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Persian Live Stream Speech
Long-session spoken content from live streams — host monologue and responses to audience interaction — fast-paced and heavily improvised.
In-the-Wild Speech in other languages
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Bangla In-the-Wild Speech
South Asia
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Khmer In-the-Wild Speech
Southeast Asia
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Arabic (Egyptian) In-the-Wild Speech
Middle East & North Africa
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Arabic (Gulf) In-the-Wild Speech
Middle East & North Africa
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Kannada In-the-Wild Speech
South Asia
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Punjabi In-the-Wild Speech
South Asia
Request Persian In-the-Wild 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.