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Comparison of Async Text to Speech Pro V1.0, remove_background_guided, abr-ai/niagara-84m-batch.en
3 modelsasyncAsync Text to Speech Pro V1.0Remove ×Briaremove_background_guidedRemove ×abr-aiabr-ai/niagara-84m-batch.enRemove ×
What’s differentGenerate professional-quality voiceovers in seconds with Async TTS Pro model text-based control over pauses, emphasis, and timing. Voice ids can be found at https://async.com/developer/voice-libraryPrompt-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…0.084B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateJun 18, 2026ListedOct 14, 2026ListedOct 17, 2026Discovered
Listed rateSee provider quotesSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported12.01% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reportedNot reported10.83% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported10.41% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reportedNot reported3.09% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reportedNot reported7.6% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reportedNot reported2.61% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reportedNot reported20.16% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reportedNot reported8.82% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported4.33% WER ↗abr-ai/niagara-84m-batch.enLeaderboard entry
Context window———
Max output———
Parameters——0.084B
Audio inputNot reportedNot reportedSupported
TranscriptionNot reportedNot reportedSupported

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