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Comparison of abr-ai/niagara-9m-batch.en
1 modelabr-aiabr-ai/niagara-9m-batch.enRemove ×
What’s different0.009B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateOct 17, 2026Discovered
Listed rateSee provider quotes
Provider endpoints0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversioned20.94% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversioned21.46% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversioned14.97% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversioned6.45% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversioned14.53% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversioned5.16% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversioned29.47% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversioned17.11% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversioned7.33% WER ↗abr-ai/niagara-9m-batch.enLeaderboard entry
Context window—
Max output—
Parameters0.009B
Audio inputSupported
TranscriptionSupported

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