Central Asia & Caucasus · Latin

Uzbek In-the-Wild Speech Dataset

Uzbek 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 Uzbek is its own problem

Uzbek in-the-wild material captures the country's real language situation, and that has to be measured rather than assumed: recordings from markets, transport, and workplaces contain a Russian component of unpredictable size, and in some settings the Russian share is high enough that the batch is closer to bilingual than to Uzbek. Speakers from Afghanistan and Tajikistan also appear in material sourced online, and their Uzbek differs in vocabulary and script habits, so origin has to be logged even when collection happens in one country.

The field to pin down first: Log device, environment, and speaker origin per file, and measure the actual Russian-language share after collection — a preset ratio will not match what the recordings contain.

At a glance

LanguageUzbek
Primary regionCentral Asia & Caucasus
Writing systemLatin
CategoryIn-the-Wild Speech
Specification field to settle firstLog device, environment, and speaker origin per file, and measure the actual Russian-language share after collection — a preset ratio will not match what the recordings contain.
DeliverySourced 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 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.

More on Uzbek speech data →

What we can put in this delivery

  • Read and conversational speech

    Scripted recording for TTS, and unscripted conversation for recognition. Specified separately because they need different speaker pools.

  • Transcription to your convention

    Orthographic or phonetic, with the guideline written before production and shared with you for review.

  • Speaker metadata

    Age band, gender, region and dialect background per file, so you can slice the dataset rather than take it whole.

  • Consent documentation

    Signed speaker consent covering the intended use, plus collection methodology and the annotation guideline.

  • Pilot batch

    A small batch first, which you can reject. Misalignments surface after a few hours rather than at delivery.

  • Delivery in your format

    Audio format, sampling rate, segmentation length and metadata schema set to your pipeline's requirements.

What arrives in a delivery

ComponentWhat it is
Audio filesFormat, sampling rate and segmentation length set to your pipeline. Named to a convention you specify.
TranscriptionOrthographic or phonetic, produced under a guideline you review before production starts.
Speaker metadataAge band, gender, region and dialect background per file, plus a speaker identifier so the dataset can be sliced.
Recording conditionsEnvironment, device and, where relevant, measured signal-to-noise ratio per file.
Annotation guidelineThe document the annotators worked from, so you can reproduce the conventions on your own data.
Consent recordsSigned speaker consent covering your intended use, with the transfer mechanism addressed where required.
Collection methodologyHow speakers were recruited, screened and scheduled — the part that tells you how biased the pool is.
Quality reportPilot outcome, re-work log, and the annotator agreement figures where the task supports measuring them.

Questions we get about Uzbek In-the-Wild Speech

How many distinct speakers can you provide for Uzbek 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. Log device, environment, and speaker origin per file, and measure the actual Russian-language share after collection — a preset ratio will not match what the recordings contain.

Can you annotate to our own guideline instead of the default?

Yes, and for this pairing we would recommend it. Uzbek in-the-wild material captures the country's real language situation, and that has to be measured rather than assumed: recordings from markets, transport, and workplaces contain a Russian component of unpredictable size, and in some settings the Russian share is high enough that the batch is closer to bilingual than to Uzbek. 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 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 Uzbek

  • 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.

  • Uzbek Children Speech

    Speech data from child speakers, grouped by age band, used for children's speech recognition and children's education products.

  • Uzbek Audiobook

    Continuous long-form narration in audiobook style, steady in intonation and generous in duration, the main source material for high-quality TTS.

  • Uzbek Short Video Speech

    Speech in the talking-head style of short video — fast, emotionally strong, colloquial — used for short video subtitles and content understanding.

  • Uzbek Live Stream Speech

    Long-session spoken content from live streams — host monologue and responses to audience interaction — fast-paced and heavily improvised.

  • Uzbek Voice Assistant

    Command and dialogue data for voice assistants, usually with intent annotation, covering the full chain from wake word to understanding to response.

All Uzbek data →

Request Uzbek 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.

We reply within two business days. Your details are used only to answer this request. See our privacy policy.

Contact

Talk to a human

Send a specification and we will come back with a real number and timeline.

Submit a sourcing request

Or email hello@linguacorpus.com