ACE Music v1 tops vocal leaderboard
ACE Music v1, an AI music generation platform from the creators of ACE Studio, has claimed the #1 spot on Artificial Analysis's blind AA-Music-Vocal v1.1 leaderboard with an Elo rating of 1160. The model edges out Suno v6 and Google Lyria by turning text prompts and lyric-embedded performance cues into full songs with expressive vocal arrangements.
ACE Studio's leap from virtual singer software to full-track synthesis proves that deep vocal modeling beats generic audio generation in listener preference. Clinching the top spot over Suno v6 underscores how critical granular performance control has become for AI music platforms.
- –ACE Music v1 earned an Elo rating of 1160 on the AA-Music-Vocal v1.1 blind arena, surpassing Suno v6 (1144), Suno v6-mini (1132), Mureka V9.5 (1101), and Google Lyria 3.5 (1050).
- –The platform accepts inline performance tags within lyrics, such as "(hum softly)" or "(sing with a raspy voice, add guitar)", allowing direct steerability over vocal timbre and musical transitions.
- –Developer Timedomain leveraged years of singing voice synthesis research from ACE Studio and its open-weights ACE-Step models to curb robotic vocal artifacts.
- –The shift signals increasing competition for Suno and Udio as specialized audio research teams package workstation-grade vocal control into consumer web generators.
DISCOVERED
4h ago
2026-11-15
PUBLISHED
4h ago
2026-11-15
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AI Search