Report Michael Occhipinti Music built from the datasets alone

Yes. Michael Occhipinti Music has 12 songs and 1 video listed in datasets used to train and test AI music models.

This page only knows about the videos the datasets list. To check every upload on the channel:

Used for training and testing 1

video in AudioSet

A list of about a million ten-second YouTube clips, each labelled with the sounds in it, that Google published in 2017. Labs use it to train and test general audio and music models.

Including Michael Occhipinti & The Sicilian Jazz Project - Vitti na crozza live in Zacatecas

Used for training 12

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 Moon Ray, Visions, October Daughters

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

Probable match by artist name. If this is not you, ignore this section. Artist page on YouTube Music.

Moon Ray

Listed as Elizabeth Shepherd, Michael Occhipinti – Moon Ray (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video EDCdyCKwV8Y · row EDCdyCKwV8Y

LAION-DISCO-12M

Visions

Listed as Elizabeth Shepherd, Michael Occhipinti – Visions (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video RIF-pu3yxuc · row RIF-pu3yxuc

LAION-DISCO-12M

October Daughters

Listed as Elizabeth Shepherd, Michael Occhipinti – October Daughters (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video T8EZBLD6HMc · row T8EZBLD6HMc

LAION-DISCO-12M

The Weight Of Hope

Listed as Elizabeth Shepherd, Michael Occhipinti – The Weight Of Hope (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video ViuS47cym_M · row ViuS47cym_M

LAION-DISCO-12M

Lord Of The Starfields

Listed as Elizabeth Shepherd, Michael Occhipinti – Lord Of The Starfields (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video WDPNVTrO68k · row WDPNVTrO68k

LAION-DISCO-12M

Lovers In A Dangerous Time

Listed as Elizabeth Shepherd, Michael Occhipinti – Lovers In A Dangerous Time (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video eiBOOhVT04A · row eiBOOhVT04A

LAION-DISCO-12M

Wondering Where The Lions Are

Listed as Elizabeth Shepherd, Michael Occhipinti – Wondering Where The Lions Are (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video exNF0qDioeI · row exNF0qDioeI

LAION-DISCO-12M

Riverman

Listed as Elizabeth Shepherd, Michael Occhipinti – Riverman (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video faQdYtGpvag · row faQdYtGpvag

LAION-DISCO-12M

Pacing The Cage

Listed as Elizabeth Shepherd, Michael Occhipinti – Pacing The Cage (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video g4jVCm0pf9k · row g4jVCm0pf9k

LAION-DISCO-12M

Any Other Way

Listed as Elizabeth Shepherd, Michael Occhipinti – Any Other Way (Any Other Way) · Watch on YouTube

youtube_video oKCcOI15ZIQ · row oKCcOI15ZIQ

LAION-DISCO-12M

All The Lovely Ladies

Listed as Elizabeth Shepherd, Michael Occhipinti – All The Lovely Ladies (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video p6hnsvnpNrU · row p6hnsvnpNrU

LAION-DISCO-12M

Night Comes On

Listed as Elizabeth Shepherd, Michael Occhipinti – Night Comes On (The Weight of Hope (ES:MO)) · Watch on YouTube

youtube_video rGly8tjE13g · row rGly8tjE13g

LAION-DISCO-12M

AudioSet 1 videos, 1 rows

Michael Occhipinti & The Sicilian Jazz Project - Vitti na crozza live in Zacatecas

Clip 130s to 140s · Open clip on YouTube · Labels: Singing, Music, Orchestra, Male singing, Inside, large room or hall

youtube_video 0WJ5__luTE4 · row unbalanced_train:0WJ5__luTE4:130:140

AudioSetunbalanced_train

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

Keep a copy

Download the evidence (PDF) JSON Check another name

Share this page https://youtrained.com/r/michael-occhipinti-music-yt_UCifqFjdhkyNoTVDqsBZU1DQ

Provenance

JSON export SHA-256 66c262049eff2ef2ec54fabcfa04956ad6ac8d473bf5cc92ad5793bd7fab61ad

Dataset versions indexed

Dataset	File	Rows	Loaded	SHA-256
audioset	balanced_train_segments.csv	8,836	2026-09-24T10:30:36+00:00	`3b83e5ff9ed72cfd…`
audioset	eval_segments.csv	7,848	2026-09-24T10:30:36+00:00	`f7055f53935f70e7…`
audioset	unbalanced_train_segments.csv	1,063,333	2026-09-24T10:30:43+00:00	`bb2dfd5e4f1ced39…`
laion_disco_12m	train-00000-of-00005.parquet	2,464,184	2026-09-24T12:18:19+00:00	`f8b1f0034f8f1e94…`
laion_disco_12m	train-00001-of-00005.parquet	2,464,183	2026-09-24T12:32:29+00:00	`71d78ad14ee3f85d…`
laion_disco_12m	train-00002-of-00005.parquet	2,464,183	2026-09-24T12:49:06+00:00	`0feba570a0e8e73c…`
laion_disco_12m	train-00003-of-00005.parquet	2,464,183	2026-09-24T13:06:37+00:00	`21a77d99fd85ad2f…`
laion_disco_12m	train-00004-of-00005.parquet	2,464,183	2026-09-24T13:24:36+00:00	`6ac5f59958b6b813…`
musiccaps	musiccaps-public.csv	5,521	2026-09-24T10:29:42+00:00	`8cc109ac507b5e5a…`

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. This report is informational and is not legal advice. It shows that identifiers matching your work are present in the named public research datasets; it does not establish how any particular company used them. If you are the subject of this page and want it removed, see removals.