Middle East & Europe · Latin

Turkish Singing Voice Dataset

Turkish Singing Voice delivered to your specification. A catalog entry, not a stock listing. This page covers what is specifically hard about this pairing, and which fields your specification needs to pin down.

A person speaking into a studio microphone with an audio waveform open on the screen beside them

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

LanguageTurkish
Primary regionMiddle East & Europe
Writing systemLatin
CategorySinging Voice
Specification field to settle firstWhether alignment granularity is syllabic or phonemic, and how a long word spanning several notes is marked, need worked examples in the annotation guideline.
DeliverySourced 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.

More on Turkish speech data →

What we can put in this delivery

  • Collection to your specification

    Scripted or unscripted, in the language, domain and conditions your task needs. Specified separately where the variants need different contributor pools.

  • Labels to your convention

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

  • Contributor metadata

    The attributes that let you slice the set rather than take it whole. The ones your task turns on, not a fixed list.

  • Consent documentation

    Signed contributor 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

    File format, structure, segmentation and metadata schema set to your pipeline's requirements.

What arrives in a delivery

ComponentWhat it is
The data filesFormat, structure and segmentation set to your pipeline. Named to a convention you specify.
Labels or transcriptionOrthographic, phonetic or categorical, produced under a guideline you review before production starts.
Contributor metadataThe attributes that let you slice the set: age band, gender, region, dialect background, or whatever your task turns on.
Collection conditionsEnvironment, device and, where it can be measured, signal quality: recorded per file.
Annotation guidelineThe document the annotators worked from, so you can reproduce the conventions on your own data.
Consent recordsSigned contributor consent covering your intended use, plus cross-border transfer terms where they apply.
Collection methodologyHow contributors 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 Turkish Singing Voice Dataset

How many distinct speakers can you provide for Turkish Singing Voice Dataset?

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 Dataset 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 Call Center Speech

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    Customer-service calls, simulated rather than intercepted, capturing both the agent and the caller side, used for call center QC, intent recognition, and dialogue systems.

  • Turkish Conversational Speech

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    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.

  • Turkish Speech Commands

    Speech

    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.

  • Turkish Read Speech

    Speech

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

  • Turkish Podcast Speech

    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

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

All Turkish data →

Singing Voice in other languages

All Singing Voice data →

Request Turkish Singing Voice Dataset

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.

  1. You send the spec Language, hours, recording conditions, and the deadline.
  2. We reply within two business days A real number and a real timeline, not a range.
  3. You approve a pilot batch A small run first, so problems surface before the full order.
  4. Full run, then delivery with documents Audio, transcripts, and the consent record for every speaker.
Contact

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

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