Fish Audio Transcribe-1-Pro Tags Speakers, Emotion

// 1h agoMODEL RELEASE

Fish Audio Transcribe-1-Pro Tags Speakers, Emotion

Fish Audio’s new ASR model transcribes multi-speaker audio across 83 languages while preserving speaker turns, emotion cues, and vocal events such as laughter. It is available through the Fish Audio API and targets richer transcripts for meetings, podcasts, calls, and voice applications.

// ANALYSIS

Fish Audio is pushing transcription beyond words into production-ready audio understanding, though its accuracy claims still need independent benchmarks.

–Inline speaker markers simplify multi-person transcript processing without a separate diarization pipeline
–Emotion and vocal-event cues can improve podcast editing, call analytics, accessibility, and synthetic voice workflows
–The model uses the existing `/v1/asr` endpoint, keeping integration straightforward for current Fish Audio developers
–Speaker labels identify turns within one recording, not persistent identities across recordings
–Developers should test noisy audio, crosstalk, and emotion-label consistency before replacing established ASR providers

// TAGS

transcribe-1-profish-audiosttspeechstructured-outputapidevtool

DISCOVERED

1h ago

2026-09-28

PUBLISHED

1h ago

2026-09-28

RELEVANCE

8/ 10

AUTHOR

FishAudio

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