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Comparison of Speech-To-text, abr-ai/niagara-38m-batch.en
2 modelsfal-aiSpeech-To-textRemove ×abr-aiabr-ai/niagara-38m-batch.enRemove ×
What’s differentLeverage the rapid processing capabilities of AI models to enable accurate and efficient real-time speech-to-text transcription.0.038B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateApr 4, 2025ListedOct 17, 2026Discovered
Listed rate$0.0008/ secondfal · all routes ↗See provider quotes
Provider endpoints1 endpoint →0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reported13.87% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reported12.94% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reported11.38% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reported3.81% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reported9.28% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reported3.08% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reported22.88% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reported10.41% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reported5.16% WER ↗abr-ai/niagara-38m-batch.enLeaderboard entry
Context window——
Max output——
Parameters—0.038B
Audio inputNot reportedSupported
TranscriptionNot reportedSupported

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