Central Asia & Caucasus · Latin
Uzbek Elderly Voice Dataset
Uzbek elderly voice 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 elderly voice in Uzbek is its own problem
Older Uzbek speakers were schooled in Cyrillic and use a heavier layer of Russian borrowings than younger speakers, whose vocabulary has moved to the post-independence coinages. That makes this data valuable for lexical coverage, but it also means elicitation material matters: a reading task set in Latin script puts these speakers at a disadvantage that has nothing to do with their speech, and the hesitation it produces contaminates the recording.
The field to pin down first: Record each speaker's script of schooling and age band, and set elicitation materials in the script the speaker actually reads — Cyrillic for the oldest band, Latin for the youngest.
At a glance
| Language | Uzbek |
|---|---|
| Primary region | Central Asia & Caucasus |
| Writing system | Latin |
| Category | Elderly Voice |
| Specification field to settle first | Record each speaker's script of schooling and age band, and set elicitation materials in the script the speaker actually reads — Cyrillic for the oldest band, Latin for the youngest. |
| Delivery | Sourced to order, pilot batch before the full run |
What elderly voice data is
Speech data from elderly speakers, usually stratified by age band and health status, used for voice products built for older users.
What buyers get wrong about it
Speaking rate, volume, and articulation vary enormously across elderly speakers, and recruiting them is hard. Too small a sample and the model simply skews toward younger users.
The specification field that decides the quote
Age stratification and whether speakers with speech disorders are included must be stated up front.
The language side: what Uzbek demands
Uzbek is officially written in Latin script, but a large share of existing corpora is in Cyrillic. The conversion rules between the two leave a few letters without a clean one-to-one mapping, so conversion introduces 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 Uzbek Elderly Voice
How many distinct speakers can you provide for Uzbek Elderly Voice?
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. Record each speaker's script of schooling and age band, and set elicitation materials in the script the speaker actually reads — Cyrillic for the oldest band, Latin for the youngest.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Older Uzbek speakers were schooled in Cyrillic and use a heavier layer of Russian borrowings than younger speakers, whose vocabulary has moved to the post-independence coinages. 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 Uzbek Elderly Voice 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 Uzbek
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Uzbek 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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Uzbek Multilingual Speech
Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.
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Uzbek 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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Uzbek 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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Uzbek 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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Uzbek Audiobook
Continuous long-form narration in audiobook style, steady in intonation and generous in duration, the main source material for high-quality TTS.
Elderly Voice in other languages
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Khmer Elderly Voice
Southeast Asia
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Arabic (Egyptian) Elderly Voice
Middle East & North Africa
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Arabic (Gulf) Elderly Voice
Middle East & North Africa
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Kannada Elderly Voice
South Asia
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Punjabi Elderly Voice
South Asia
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Burmese Elderly Voice
Southeast Asia
Request Uzbek Elderly Voice
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.