Acquisition risk memo

Meridian Sound Library

Prepared for the acquiring party · 16 assets reviewed

$171,710

6 of 16 tracks (37.5%) are suspect, carrying $8,365 of $48,000 annual revenue (17.4%). Recommended escrow $171,710 against an asking price of $720,000.

Where the risk sits

Suspect assets are typically a large share of a catalog by count and a small share of it by revenue. Only the second number affects what the catalog is worth.
By track count — 16 assets clean: 8 (50.0%)50%contested: 2 (12.5%)12%suspect: 6 (37.5%)38% By annual revenue — $48,000 clean: $33,470 (69.7%)70%contested: $6,166 (12.8%)13%suspect: $8,365 (17.4%)17%
CleanContestedSuspect

Position

Tracks in catalog
16
Reported annual royalties
$48,000
Acquisition multiple
15.0×
Asking price
$720,000
Clean
8
Contested — human review
2
Suspect
6
Detection failed
0
Revenue on suspect assets
$8,365 (17.4%)
Revenue on contested assets
$6,166 (12.8%)
Recommended escrow
$171,710

Suspect revenue of $8,365 held in full plus 50% of contested revenue of $6,166, capitalised at the 15.0x acquisition multiple.

Assets by revenue

TitleArtistAI score AnnualTier
Sleigh RideKamakaze Kitten1$12,175clean
Pour Quoi RoyaleZipp0$5,013clean
sonics__fake_00105_suno_1Generated100$4,974suspect Suno
Sleigh RideBubblyfish2$4,820clean
Reading 2 Volume 3Lemoness5$3,551contested
Footloose (feat. Paul Whiteman)Dog On Springs0$3,074clean
01_hiliv003_onsundaysidream_hypnagogicmccandless1$2,727clean
Aydio_-_01_-_TrackAydio5$2,614contested
Dance With The DemocratBoogie Belgique0$2,105clean
The Night Before Bit Messc-c0$1,866clean
sonics__fake_00214_udio_0Generated100$1,698suspect
AnimosityIntoxicated Piano0$1,690clean
sonics__fake_00001_suno_0Generated100$517suspect
sonics__fake_00524_udio_1Generated71$484suspect
sonics__fake_00416_udio_1Generated100$357suspect
sonics__fake_00327_udio_0Generated100$335suspect

Human review queue — 2 assets

These could not be settled from audio alone. They are excluded from the clean base and only partially weighted in the escrow figure, and they are listed by what they earn so a reviewer with limited time starts where the money is.

AssetScore AnnualWhy
2014-02-12Bigwords__Reading2Volume3.mp35$3,551Split verdict — press-safe human, human-safe human, recall ai. Borderline by the detector's own account. Risk peaks at 100% from 0:20. similarity map
DWK031__Aydio_-_01_-_Track_64kb.mp35$2,614Split verdict — press-safe human, human-safe human, recall ai. Borderline by the detector's own account. Risk peaks at 68% from 0:33. similarity map

Audit accuracy against ground truth

Against 16 labelled tracks: 6 of 6 planted AI tracks were caught, 0 missed, and 0 landed in the contested band. No human track was wrongly flagged as suspect. Precision 1.00. Recall 1.00. Of 6 correctly flagged AI tracks whose true generator is known, 1 was attributed to the right one, 5 carried no attribution. Only 6 AI tracks were planted, so these are counts rather than measured rates — the confidence interval on a sample this size is wide enough that the figures should be read as indicative.

Labelled assets
16
Correctly flagged AI
6
Missed AI
0
Human tracks wrongly flagged
0
Sent to human review instead of guessing
2
Precision
1.00
Recall
1.00

Attribution accuracy

Knowing a recording is synthetic is one claim. Knowing which model made it is a second, harder one, and it is the claim a seller will be asked to answer. Scored only on assets correctly identified as AI whose true generator is recorded.

Caught AI assets with a known generator
6
Attributed to the correct generator
1
Attributed to the wrong generator
0
Attribution declined by the detector
5

A declined attribution is counted separately from a wrong one. The detector saying "I cannot place this" is the behaviour this audit is built to reward, not an error to be penalised.

This catalog was constructed with known labels so the error rate could be measured. A real acquisition has no answer key, which is why the contested band exists.

Industry labelling exposure

In July 2026 IFPI, RIAA, A2IM, WIN and IMPALA adopted a unified track-level standard distinguishing AI-Generated from AI-Assisted recordings. HumanStandard reports each verdict against those definitions, so this is the label the catalog would carry on a platform that adopts the standard — not a private score.

Meets the AI-Generated definition
5
Revenue on those assets
$7,880
Suspected, stem verification recommended
0
Revenue on those assets
$0

The labelling programme is voluntary and self-declared. A seller who has not declared these is not necessarily concealing them, but the buyer inherits the declaration either way.

Attribution

HumanStandard places every recording against reference populations — verified human music, and the known generators (Suno, Udio, ElevenLabs, Lyria, Treblo). Where a track sits clearly inside one of those populations, it is named. 1 asset sit nearest a generator rather than the human set.

Nearest populationTracks AnnualBasis
Suno1$4,97423 of its 25 nearest reference recordings are Suno generations.
Verified human recordings11$40,12024 of its 25 nearest reference recordings are verified human recordings.

Attribution is neighbourhood evidence, not the verdict itself. It tells a buyer which supplier the material resembles — which is the question a seller will be asked to answer.

Method

Every asset was submitted to the HumanStandard detection API, which returns a three-valued verdict — AI, human, or uncertain — at three calibrated operating points with their false-positive rates published. Assets are tiered on those operating points rather than on thresholds chosen here: suspect when HumanStandard's human-safe tier (~1-2% FPR) says ai | clean when its recall tier (~5-10% FPR) says human | contested when the tiers disagree. Where the operating points disagree, the recording is borderline by the detector's own account and is routed to a person. Anything below the detector's confidence floor is routed to review regardless of verdict, and anything that could not be scored is excluded from the clean base rather than assumed safe. Suspect revenue is escrowed in full; contested revenue is weighted at 50% because uncertainty is not a finding.

Generated 2026-09-20 19:02 UTC · detector: humanstandard · evidence manifest b6b0d3a6913153e5742c927fd81f6944
This memo is an audio-authenticity assessment, not a legal opinion or a valuation. Copyright enforceability of AI-generated works is a question for counsel.