Middle East & North Africa · Arabic (Perso-Arabic)
Persian Audiobook Dataset
Persian audiobook 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 audiobook in Persian is its own problem
The hard part of a Persian audiobook is deciding what is actually being read — faced with a written text, readers waver between the written form and the colloquial form. Over a long text that wavering accumulates, and one book ends up inconsistent in style from within.
The field to pin down first: Whether narration follows the written form or is allowed to colloquialize — literary Persian narration produces a register that almost never occurs in spontaneous speech, which limits what the corpus can train.
At a glance
| Language | Persian |
|---|---|
| Primary region | Middle East & North Africa |
| Writing system | Arabic (Perso-Arabic) |
| Category | Audiobook |
| Specification field to settle first | Whether narration follows the written form or is allowed to colloquialize — literary Persian narration produces a register that almost never occurs in spontaneous speech, which limits what the corpus can train. |
| Delivery | Sourced to order, pilot batch before the full run |
What audiobook data is
Continuous long-form narration in audiobook style, steady in intonation and generous in duration, the main source material for high-quality TTS.
What buyers get wrong about it
Consistency is the hardest part of long-form narration — over ten hours, one speaker's pace and timbre drift. Segment-by-segment QC and a re-record mechanism are needed.
The specification field that decides the quote
Whether timbre must stay consistent across chapters (the same speaker recording on different days) — this drives the schedule and the cost.
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 Audiobook
How many distinct speakers can you provide for Persian Audiobook?
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. Whether narration follows the written form or is allowed to colloquialize — literary Persian narration produces a register that almost never occurs in spontaneous speech, which limits what the corpus can train.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. The hard part of a Persian audiobook is deciding what is actually being read — faced with a written text, readers waver between the written form and the colloquial form. 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 Audiobook 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 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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Persian Podcast Speech
Long-form podcast and interview audio, either solo monologue or two-person conversation, used for long-form speech recognition and speaker modeling.
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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.
Audiobook in other languages
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Tamil Audiobook
South Asia
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Telugu Audiobook
South Asia
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Malayalam Audiobook
South Asia
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Nepali Audiobook
South Asia
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Sinhala Audiobook
South Asia
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Bangla Audiobook
South Asia
Request Persian Audiobook
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.