Middle East & Europe · Latin
Turkish Short Video Speech Dataset
Turkish 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 Turkish is its own problem
Turkish short-video narration runs at high emotional intensity, and vowels stretch and distort when a speaker is worked up, drifting away from the standard pronunciation. Annotate against a standard phoneme inventory and you generate a mass of "error" marks for what is really normal emotional variation.
The field to pin down first: Phoneme annotation has to allow emotion-driven shifts in phonetic value, with a note on the tolerated range.
At a glance
| Language | Turkish |
|---|---|
| Primary region | Middle East & Europe |
| Writing system | Latin |
| Category | Short Video Speech |
| Specification field to settle first | Phoneme annotation has to allow emotion-driven shifts in phonetic value, with a note on the tolerated range. |
| Delivery | Sourced 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 Turkish demands
Turkish is an agglutinative language: one root can carry a long chain of suffixes, so the word list explodes. Istanbul and eastern accents also differ noticeably — if speaker origin is not recorded clearly, model generalization suffers.
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 Turkish Short Video Speech
How many distinct speakers can you provide for Turkish 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. Phoneme annotation has to allow emotion-driven shifts in phonetic value, with a note on the tolerated range.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Turkish short-video narration runs at high emotional intensity, and vowels stretch and distort when a speaker is worked up, drifting away from the standard pronunciation. 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 Turkish 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 Turkish
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Turkish In-the-Wild Speech
Speech collected under fully natural conditions — no studio, no topic constraints — as close to real usage as collection gets.
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Turkish Call Center Speech
Recorded customer-service calls, real or simulated, capturing both the agent and the caller side, used for call center QC, intent recognition, and dialogue systems.
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Turkish Conversational Speech
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.
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Turkish Singing Voice
Vocal recordings with melody, in both a cappella and accompanied form, used for singing voice synthesis, music information retrieval, and lyric alignment.
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Turkish 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.
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Turkish Read Speech
Recordings of speakers reading specified text, with clear pronunciation and known text, the base material for TTS and ASR.
Short Video Speech in other languages
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Amharic Short Video Speech
Sub-Saharan Africa
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Ukrainian Short Video Speech
Europe
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Swahili Short Video Speech
Sub-Saharan Africa
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Kurdish Short Video Speech
Middle East & North Africa
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Hausa Short Video Speech
Sub-Saharan Africa
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Uzbek Short Video Speech
Central Asia & Caucasus
Request Turkish 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.