Middle East & North Africa · Arabic (Perso-Arabic)
Persian Conversational Speech Dataset
Persian Conversational Speech delivered to your specification. A catalog entry, not a stock listing. This page covers what is specifically hard about this pairing, and which fields your specification needs to pin down.
Why Conversational Speech in Persian is its own problem
Tehran colloquial differs from written Persian in verb endings, pronouns, and connected speech, so transcribing a natural conversation against the written standard simply does not line up. Arabic loanwords are also handled differently in spoken Persian (original pronunciation kept or Persianized), and that varies clearly with speakers' educational background.
The field to pin down first: The transcription standard must state "transcribe the actual spoken pronunciation", and speakers' language of education must be annotated.
At a glance
| Language | Persian |
|---|---|
| Primary region | Middle East & North Africa |
| Writing system | Arabic (Perso-Arabic) |
| Category | Conversational Speech |
| Specification field to settle first | The transcription standard must state "transcribe the actual spoken pronunciation", and speakers' language of education must be annotated. |
| Delivery | Sourced to order, pilot batch before the full run |
What Conversational Speech data is
Speech from natural conversation between two or more people, on open or semi-structured topics, used for conversational AI, voice assistants, and small talk models.
What buyers get wrong about it
Natural conversation is full of overlapping speech, interruptions, particles, and laughter. Whether to keep these "messy" parts is the first thing to lock down on a project like this.
The specification field that decides the quote
Whether overlapping speech is kept or split. The two outputs cannot be mixed in a single delivery batch.
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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Collection to your specification
Scripted or unscripted, in the language, domain and conditions your task needs. Specified separately where the variants need different contributor pools.
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Labels to your convention
Orthographic, phonetic or categorical, with the guideline written before production and shared with you for review.
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Contributor metadata
The attributes that let you slice the set rather than take it whole. The ones your task turns on, not a fixed list.
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Consent documentation
Signed contributor 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
File format, structure, segmentation and metadata schema set to your pipeline's requirements.
What arrives in a delivery
| Component | What it is |
|---|---|
| The data files | Format, structure and segmentation set to your pipeline. Named to a convention you specify. |
| Labels or transcription | Orthographic, phonetic or categorical, produced under a guideline you review before production starts. |
| Contributor metadata | The attributes that let you slice the set: age band, gender, region, dialect background, or whatever your task turns on. |
| Collection conditions | Environment, device and, where it can be measured, signal quality: recorded per file. |
| Annotation guideline | The document the annotators worked from, so you can reproduce the conventions on your own data. |
| Consent records | Signed contributor consent covering your intended use, plus cross-border transfer terms where they apply. |
| Collection methodology | How contributors 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 Conversational Speech Dataset
How many distinct speakers can you provide for Persian Conversational Speech Dataset?
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 transcription standard must state "transcribe the actual spoken pronunciation", and speakers' language of education must be annotated.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Tehran colloquial differs from written Persian in verb endings, pronouns, and connected speech, so transcribing a natural conversation against the written standard simply does not line up. 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 Conversational Speech Dataset 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 Multilingual Speech
Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.
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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.
Request Persian Conversational Speech Dataset
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.
- You send the spec Language, hours, recording conditions, and the deadline.
- We reply within two business days A real number and a real timeline, not a range.
- You approve a pilot batch A small run first, so problems surface before the full order.
- Full run, then delivery with documents Audio, transcripts, and the consent record for every speaker.