Fish Audio

Expressive TTS and Audio Generation| Click link to claim credits 👇 https://t.co/gzh4M4dZHY

Fish Audio is publicly launching S2.1 Pro, a real-time text-to-speech model aimed at developers building voice agents, dubbing pipelines, and creator tools. The model clones a voice from about five seconds of reference audio and exposes word-level controls for emotion, intonation, and pacing through natural-language bracket tags like [whisper], [excited], or [laugh], letting builders shape delivery inside the script itself rather than re-recording takes. Fish Audio S2.1 Pro is a flagship text-to-speech model built for highly expressive, low-latency speech generation. It supports natural-language bracket cues for emotion and delivery control, multi-speaker dialogue in a single generation, 80+ languages with automatic language detection, and realtime streaming with very fast time to first audio. The launch is paired with a seed round that signals how competitive the voice layer of the AI stack has become. Fish Audio, the AI voice platform for expressive real-time text-to-speech, voice cloning, and voice agents, today announced $52 million in seed funding led by Coreline Ventures and Capital Today, with participation from 359 Capital, Play Time , among others. The company was founded by CEO Rissa Cao and chief scientist Shijia Liao, who formerly worked as a video researcher at Nvidia Corp. and is a lifelong fan of Japanese anime, explained that he grew tired of having to listen to the flat and monotonously robotic synthetic voices common in earlier TTS systems. Both appear in the launch demo cloning their own voices to place a pizza order through a live agent. For operators, the pitch is cost and latency against incumbents, with Fish claiming it runs roughly twice as fast as Cartesia at about one-sixth the price of ElevenLabs. Adoption is already broad across the AI voice ecosystem, with customers including HeyGen, Retell, Sanas, LiveKit, and OpenArt, and the underlying S2 family is open-sourced on GitHub for teams that want to self-host. Fish Audio S2 Pro is a leading text-to-speech model with fine-grained inline control of prosody and emotion. Trained on over 10M+ hours of audio data across 80+ languages, it combines reinforcement learning alignment with a Dual-Autoregressive architecture, which is the technical backbone S2.1 Pro extends for production use.

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