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Comparison of Fish Audio: S2 Pro, remove_background_guided, bosonai/higgs-audio-v3-stt
3 modelsfish-audioFish Audio: S2 ProRemove ×Briaremove_background_guidedRemove ×bosonaibosonai/higgs-audio-v3-sttRemove ×
What’s differentS2 Pro is a multilingual text-to-speech model from Fish Audio. It is suited for expressive narration and multi-speaker dialogue, with natural-language controls for speaking style and emotion.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…2.68B parameters · 1 language · Encoder: Whisper · Decoder: Qwen3
DateMar 10, 2026ReleasedOct 14, 2026ListedOct 17, 2026Discovered
Listed rateSee provider quotesSee provider quotesSee provider quotes
Provider endpoints0 endpoints →0 endpoints →0 endpoints →
AA Native Voice ↗Unversioned · provider native voices1,111.81 ↗Provider native voices · all categories · US + UK accents · 4 listed voicesIndependent result95% CI 1,099.81–1,123.81 · n=2,699Not reportedNot reported
AMI-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported7.19% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Earnings22-Cleaned-AA-chunked WER ↗English short-form; normalization unversionedNot reportedNot reported7.04% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Gigaspeech-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported7.45% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
LS Clean WER ↗English short-form; normalization unversionedNot reportedNot reported1.08% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
LS Other WER ↗English short-form; normalization unversionedNot reportedNot reported2.61% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
SPGISpeech WER ↗English short-form; normalization unversionedNot reportedNot reported2.07% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
URGENT2024 WER ↗English short-form; normalization unversionedNot reportedNot reported11.88% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Voice Arena Monsoon WER ↗English short-form; normalization unversionedNot reportedNot reported3.97% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Voxpopuli-AA-Cleaned WER ↗English short-form; normalization unversionedNot reportedNot reported3.73% WER ↗bosonai/higgs-audio-v3-sttLeaderboard entry
Context window———
Max output———
Parameters——2.68B
Audio inputNot reportedNot reportedSupported
TranscriptionNot reportedNot reportedSupported
Open weightsSupportedNot reportedNot reported

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