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Comparison of VEED Clean Audio, abr-ai/niagara-9m-batch.en
2 modelsveedVEED Clean AudioRemove ×abr-aiabr-ai/niagara-9m-batch.enRemove ×
What’s differentStudio-quality speech from noisy recordings0.009B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateSep 21, 2026ListedOct 17, 2026Discovered
Listed rateSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reported20.94% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reported21.46% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reported14.97% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reported6.45% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reported14.53% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reported5.16% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reported29.47% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reported17.11% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reported7.33% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Context window——
Max output——
Parameters—0.009B
Audio inputNot reportedSupported
TranscriptionNot reportedSupported

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