Sound Demixing Challenge 2023
dataset·sound demixing·closed
A completed AIcrowd challenge with music and cinematic source-separation tracks and hidden evaluation sets.
Verified facts
| Official site | https://www.aicrowd.com/challenges/sound-demixing-challenge-2023 ↗ |
|---|---|
| Geography | Global |
| size | music track leaderboards: 3 |
| scope | Robust four-stem music demixing and cinematic dialogue, effects and music separation. |
| genres | popular music; cinematic audio |
| license | challenge-specific/mixed |
| steward | Sony / Moises.AI / MERL / AudioShake / Meta |
| creators | SDX 2023 organizers |
| languages | not_applicable |
| modalities | music mixtures and stems; cinematic mixtures; hidden test audio; leaderboards |
| geographies | Global |
| access method | Historical AIcrowd page and starter kits. |
| intended uses | music source separation evaluation; cinematic source separation evaluation |
| consent claims | Music and movie rights are controlled by organizers; artist consent terms not public. |
| related papers | The Sound Demixing Challenge 2023 |
| prohibited uses | Redistribution or use beyond challenge terms without permission. |
| annotation method | Reference stems support source-to-distortion and related demixing metrics. |
| collection method | Challenge organizers created controlled and hidden evaluation sets. |
| provenance claims | AIcrowd identifies the organizers, tracks and hidden-test design. |
| current availability | Challenge ended; materials and leaderboards remain online. |
| commercial use limits | Training and hidden-test media are not a general commercial corpus. |
| us market scope basis | Publicly available or materially used in US-facing music/audio-AI research. |
Current
| evaluation related to | MUSDB18 |
|---|
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