Yes. Erkan Akalın has 6 songs listed in a dataset used to train AI music models.

Used for training 6

songs in LAION-DISCO-12M under the artist name

A list of 12 million songs on YouTube Music, gathered by walking artist pages, that LAION published in 2024 for training general music models.

Including Ela Gözlerini Sevdiğim Dilber (Akustik), Ben Razı Değilem Hicrana Gama (Acoustic Live), Feleğe Sorduraydım (Akustik)

Listed under the artist name 6 songs in LAION-DISCO-12M

Matched exactly: this YouTube Music artist id is the one the dataset lists these songs under.

Ela Gözlerini Sevdiğim Dilber (Akustik)

Listed as Gizli Bahçe, Erkan Akalın – Ela Gözlerini Sevdiğim Dilber (Akustik) (Ela Gözlerini Sevdiğim Dilber (Akustik)) · Watch on YouTube

youtube_video DZpXO4xeSDY · row DZpXO4xeSDY

LAION-DISCO-12M

Ben Razı Değilem Hicrana Gama (Acoustic Live)

Listed as Gizli Bahçe, Erkan Akalın – Ben Razı Değilem Hicrana Gama (Acoustic Live) (Ben Razı Değilem Hicrana Gama (Acoustic Live)) · Watch on YouTube

youtube_video M3RStXJtsCk · row M3RStXJtsCk

LAION-DISCO-12M

Feleğe Sorduraydım (Akustik)

Listed as Gizli Bahçe, Erkan Akalın – Feleğe Sorduraydım (Akustik) (Feleğe Sorduraydım (Akustik)) · Watch on YouTube

youtube_video Toe60Jk2TzU · row Toe60Jk2TzU

LAION-DISCO-12M

Yarim Derdini Ver Bana (Akustik)

Listed as Gizli Bahçe, Tolga Sağ, Erkan Akalın – Yarim Derdini Ver Bana (Akustik) (Yarim Derdini Ver Bana (Akustik)) · Watch on YouTube

youtube_video ZPhC96mQses · row ZPhC96mQses

LAION-DISCO-12M

Gidek Sılaya (Akustik)

Listed as Gizli Bahçe, Erkan Akalın – Gidek Sılaya (Akustik) (Gidek Sılaya (Akustik)) · Watch on YouTube

youtube_video czshe58n4TI · row czshe58n4TI

LAION-DISCO-12M

Aşağıdan Gelir (Akustik)

Listed as Gizli Bahçe, Erkan Akalın – Aşağıdan Gelir (Akustik) (Aşağıdan Gelir Aldıramadım (Akustik)) · Watch on YouTube

youtube_video gGEL2Vr5d4U · row gGEL2Vr5d4U

LAION-DISCO-12M

What this means

Last reviewed 2026-09-24.

Presence in a public research dataset shows that a clip of your recording was listed by academic or industry researchers as material for building or testing audio models. It does not by itself show which commercial products, if any, used the clip. The legal picture is moving. On 31 July 2026 the Regional Court of Munich I ruled in GEMA's case against Suno (case 42 O 763/25) that reproducing works for training, holding them in a model in retrievable form, and generating similar outputs can each infringe copyright under German and EU law; the judgment is not final and can be appealed. In the United States, Warner Music Group settled its claims against Suno on 25 November 2025 with a licensing deal, while the parallel claims by Universal and Sony were still pending at that point. Since then BMG (12 August 2026) and Believe/TuneCore (8 September 2026) have signed opt-in licensing deals with Suno.

What you can do

3 routes. None is a guarantee.

UK, PRS members. Send PRS for Music your report and ask what collective or licensing route covers your works.
- PRS for Music and Artificial Intelligence, Version 1 (October 2025), 2025-10-01
- PRS for Music: AI and music copyright, 2026-09-24
Germany, GEMA members. GEMA won a first-instance ruling against Suno on 31 July 2026 and has a licensing model. Ask how they apply to your repertoire.
- GEMA: Suno AI and OpenAI, GEMA sues for fair compensation, 2025-01-21
- DLA Piper: GEMA v Suno, Munich Regional Court judgment of 31 July 2026, 2026-08-28
- Music Business Worldwide: Germany's GEMA launches AI Charter, 2024-11-05
Signed to Warner, BMG or Believe/TuneCore. Each has an opt-in licensing deal with Suno. Ask your label what opting in or out means for you and whether any settlement money reaches artists.
- Music Business Worldwide: Warner Music Group settles with Suno, 2025-11-25
- Music Ally: Suno signs another music licensing deal, with BMG, 2026-08-12
- Music Business Worldwide: Suno inks global deal with Believe, 2026-09-08

Is this you?

Check another name

These pages report where identifiers from public research datasets point. Presence in a dataset is a fact about the dataset, not a claim about the channel or artist, and says nothing about what any company did with the material. If you are this artist and want this page removed, see removals.