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Comparison of Orpheus TTS, remove_background_guided, abr-ai/niagara-19m-batch.en
3 modelsfal-aiOrpheus TTSRemove ×Briaremove_background_guidedRemove ×abr-aiabr-ai/niagara-19m-batch.enRemove ×
What’s differentOrpheus TTS is a state-of-the-art, Llama-based Speech-LLM designed for high-quality, empathetic text-to-speech generation. This model has been finetuned to deliver human-level speech synthesis, achieving…Prompt-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…0.02B parameters · 1 language · Encoder: State-space model · Decoder: CTC
DateMar 31, 2025ListedOct 14, 2026ListedOct 17, 2026Discovered
Listed rate$0.05/ 1K charactersfal · all routes ↗See provider quotesSee provider quotes
Provider endpoints1 endpoint →0 endpoints →0 endpoints →
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported16.17% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reportedNot reported16.1% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported12.72% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reportedNot reported4.74% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reportedNot reported11.02% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reportedNot reported3.67% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reportedNot reported25.4% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reportedNot reported13.15% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported5.73% WER ↗abr-ai/niagara-19m-batch.enLeaderboard entry
Context window———
Max output———
Parameters——0.02B
Audio inputNot reportedNot reportedSupported
TranscriptionNot reportedNot reportedSupported

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