Central Asia & Caucasus · Latin

Uzbek Short Video Speech Dataset

Uzbek short video 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 short video speech in Uzbek is its own problem

Uzbek short-video creators caption in Latin script, but informal online spelling sits far from the official norm — the Latin alphabet's rules have been adjusted since adoption and casual writing never settled, so the same word turns up spelled several ways across clips. Burned-in captions therefore cannot serve as a transcription reference. Older creators and comment threads still run in Cyrillic, which leaves one content pool carrying two writing systems, occasionally inside a single clip.

The field to pin down first: Transcribe in standard Latin orthography rather than copying caption spellings, and state in the delivery notes how Cyrillic-script captions and comments are handled.

At a glance

LanguageUzbek
Primary regionCentral Asia & Caucasus
Writing systemLatin
CategoryShort Video Speech
Specification field to settle firstTranscribe in standard Latin orthography rather than copying caption spellings, and state in the delivery notes how Cyrillic-script captions and comments are handled.
DeliverySourced to order, pilot batch before the full run

What short video speech data is

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

What buyers get wrong about it

Short video speech spans a wide range of pace and emotion, and usually carries background music. To train a model for it, the data has to contain samples that are just as unruly.

The specification field that decides the quote

Whether background music is kept or removed directly affects what this data can be used for.

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 Short Video Speech

How many distinct speakers can you provide for Uzbek Short Video 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. Transcribe in standard Latin orthography rather than copying caption spellings, and state in the delivery notes how Cyrillic-script captions and comments are handled.

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

Yes, and for this pairing we would recommend it. Uzbek short-video creators caption in Latin script, but informal online spelling sits far from the official norm — the Latin alphabet's rules have been adjusted since adoption and casual writing never settled, so the same word turns up spelled several ways across clips. 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 Short Video 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 Singing Voice

    Vocal recordings with melody, in both a cappella and accompanied form, used for singing voice synthesis, music information retrieval, and lyric alignment.

  • Uzbek Speech Commands

    Targeted recordings of short command words or phrases, usually with many speakers reading each entry several times over, used for wake words and on-device command recognition.

  • Uzbek Read Speech

    Recordings of speakers reading specified text, with clear pronunciation and known text, the base material for TTS and ASR.

  • 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.

  • Uzbek Multilingual Speech

    Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.

  • 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.

All Uzbek data →

Request Uzbek Short Video 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