Middle East & Europe · Latin
Turkish Singing Voice Dataset
Turkish singing 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 singing voice in Turkish is its own problem
Turkish is an agglutinative language, and the long words in a lyric get spread across several notes when sung, so one word spanning multiple notes is normal. That makes word-to-note alignment more complicated than in non-agglutinative languages, and the annotation granularity has to be fixed in advance.
The field to pin down first: Whether alignment granularity is syllabic or phonemic, and how a long word spanning several notes is marked, need worked examples in the annotation guideline.
At a glance
| Language | Turkish |
|---|---|
| Primary region | Middle East & Europe |
| Writing system | Latin |
| Category | Singing Voice |
| Specification field to settle first | Whether alignment granularity is syllabic or phonemic, and how a long word spanning several notes is marked, need worked examples in the annotation guideline. |
| Delivery | Sourced to order, pilot batch before the full run |
What singing voice data is
Vocal recordings with melody, in both a cappella and accompanied form, used for singing voice synthesis, music information retrieval, and lyric alignment.
What buyers get wrong about it
Copyright is the number one problem for this category — melody and lyrics each have their own rights holder. We only produce original or fully cleared content, never existing commercial tracks.
The specification field that decides the quote
Whether the accompaniment is separated (dry vocal) or the mix is kept, and whether MIDI or pitch annotation comes with it.
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 Singing Voice
How many distinct speakers can you provide for Turkish Singing 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. Whether alignment granularity is syllabic or phonemic, and how a long word spanning several notes is marked, need worked examples in the annotation guideline.
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, and the long words in a lyric get spread across several notes when sung, so one word spanning multiple notes is normal. 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 Singing 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 Turkish
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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 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.
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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.
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Turkish Multilingual Speech
Speech data covering multiple languages within one project, used for multilingual ASR, cross-lingual transfer, and language identification.
Singing Voice in other languages
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Malayalam Singing Voice
South Asia
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Nepali Singing Voice
South Asia
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Sinhala Singing Voice
South Asia
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Bangla Singing Voice
South Asia
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Khmer Singing Voice
Southeast Asia
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Arabic (Egyptian) Singing Voice
Middle East & North Africa
Request Turkish Singing 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.