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Comparison of Lyria 3.5, remove_background_guided, abr-ai/niagara-9m-batch.en
3 modelsgoogleLyria 3.5Remove ×Briaremove_background_guidedRemove ×abr-aiabr-ai/niagara-9m-batch.enRemove ×
What’s differentLyria 3.5 is Google DeepMind's latest music generation model, and you can generate almost any type of music with itPrompt-guided background removal by Bria: tell it what to keep or what to remove and get a clean cutout with true transparency, at the original resolution with the original pixels untouched. Trained…0.009B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateSep 19, 2026ListedOct 14, 2026ListedOct 17, 2026Discovered
Listed rate$0.10/ generationfal · all routes ↗See provider quotesSee provider quotes
Provider endpoints1 endpoint →0 endpoints →0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported20.94% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reportedNot reported21.46% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported14.97% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reportedNot reported6.45% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reportedNot reported14.53% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reportedNot reported5.16% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reportedNot reported29.47% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reportedNot reported17.11% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported7.33% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Context window———
Max output———
Parameters——0.009B
Audio inputNot reportedNot reportedSupported
TranscriptionNot reportedNot reportedSupported

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