Middle East & Europe · Latin
Turkish Call Center Speech Dataset
Turkish call center 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 call center speech in Turkish is its own problem
Turkish is an agglutinative language: one root with honorific, tense, and person suffixes attached becomes a very long word, and a single polite phrase in the script explodes the word list once it is written out. That goes straight to ASR word list design — whether the buyer wants the list kept compact or the full suffixed forms preserved decides the delivery format.
The field to pin down first: Agent origin has to separate Istanbul accent from eastern accent, and the two cannot be collected together, because model generalization differs sharply between them.
At a glance
| Language | Turkish |
|---|---|
| Primary region | Middle East & Europe |
| Writing system | Latin |
| Category | Call Center Speech |
| Specification field to settle first | Agent origin has to separate Istanbul accent from eastern accent, and the two cannot be collected together, because model generalization differs sharply between them. |
| Delivery | Sourced to order, pilot batch before the full run |
What call center speech data is
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.
What buyers get wrong about it
Compliance is what buyers fear most — call recordings involve personal data and recording consent, and the source has to be able to produce a consent provenance. This is also why we only do simulated collection and never work from intercepted real calls.
The specification field that decides the quote
Two-channel separated (agent and caller on separate tracks) or single-channel mixed — this directly determines how the data is annotated and how models are trained on it, and it has to be decided when the order is placed.
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
-
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
| 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 Call Center Speech
How many distinct speakers can you provide for Turkish Call Center 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. Agent origin has to separate Istanbul accent from eastern accent, and the two cannot be collected together, because model generalization differs sharply between them.
Can you annotate to our own guideline instead of the default?
Yes, and for this pairing we would recommend it. Turkish is an agglutinative language: one root with honorific, tense, and person suffixes attached becomes a very long word, and a single polite phrase in the script explodes the word list once it is written out. 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 Call Center 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
-
Turkish Podcast Speech
Long-form podcast and interview audio, either solo monologue or two-person conversation, used for long-form speech recognition and speaker modeling.
-
Turkish Multilingual Speech
Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.
-
Turkish Noisy Speech
Speech collected under background noise — street, in-car, restaurant, office and other real environments — used for noise-robust models and speech enhancement.
-
Turkish Code-Switching Speech
Speech that mixes two or more languages inside a single utterance — Hinglish, Spanglish, Taglish — used for recognition in real spoken settings.
-
Turkish Children Speech
Speech data from child speakers, grouped by age band, used for children's speech recognition and children's education products.
-
Turkish Audiobook
Continuous long-form narration in audiobook style, steady in intonation and generous in duration, the main source material for high-quality TTS.
Call Center Speech in other languages
-
Vietnamese Call Center Speech
Southeast Asia
-
Filipino Call Center Speech
Southeast Asia
-
Persian Call Center Speech
Middle East & North Africa
-
Tamil Call Center Speech
South Asia
-
Telugu Call Center Speech
South Asia
-
Malayalam Call Center Speech
South Asia
Request Turkish Call Center 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.