Low-latency speech generation
Fish Audio S2 is positioned for low-latency generation, with the homepage stating response times under 150ms for real-time conversation, live dubbing, and interactive voice applications.
Fish Audio S2 is a text-to-speech model from Fish Audio focused on expressive speech generation. The homepage presents it as an open-source model built for lifelike voice output, with controls for emotion, pacing, and multi-speaker dialogue.
The product is aimed at developers and teams that need speech synthesis for real-time conversation, dubbing, narration, and other voice applications. Fish Audio’s developer pages show REST API access, Python and JavaScript SDKs, and support for text-to-speech, voice cloning, and speech-to-text workflows.
Fish Audio S2 is positioned for low-latency generation, with the homepage stating response times under 150ms for real-time conversation, live dubbing, and interactive voice applications.
The model supports open-domain instructions for emotion and delivery, letting users direct laughter, whispers, sighs, emphasis, and other expressive elements directly in the prompt.
S2 supports multi-speaker generation, so conversations can switch between speakers within a single output instead of requiring separate generations.
The site says both the inference code and model weights are fully open-source, which allows self-hosting, fine-tuning, and deployment on a user’s own infrastructure.
Fish Audio offers an API plus Python and JavaScript SDKs, along with REST endpoints for text-to-speech, voice cloning, and speech-to-text workflows.
The product pages describe support for 80+ languages and note a wide set of voice and tag controls for speech generation and voice design.
Create conversational assistants or other voice experiences that need fast turnaround and natural-sounding responses. The homepage highlights sub-150ms latency for interactive applications.
Produce voiceovers for videos, tutorials, documentaries, and similar content where a consistent voice and controlled delivery matter. The TTS page positions the tool for narration and video voiceover work.
Generate podcast intros, outros, or longer spoken segments without recording every line manually. The product pages describe use in podcast production and multi-speaker speech generation.
Build dialogue scenes that switch between voices or speakers in a single generation. Fish Audio calls out native multi-speaker support and speaker tagging in the generated output.
Use the API and SDKs to add speech synthesis, cloning, or transcription to an application. The developer page shows REST, Python, and JavaScript access for integration into apps and services.
Fish Audio S2 is a text-to-speech model that generates speech from text with fine-grained control over emotion, prosody, and multi-speaker dialogue. The source describes it as open-source and available through Fish Audio’s API and developer SDKs.
The source says S2 Pro supports free-form inline instructions using bracketed tags such as [whisper], [pause], and [emphasis]. It supports over 15,000 unique tags and also allows natural-language style descriptions for localized control.
Fish Audio’s pricing page shows a free tier and paid plans, plus enterprise pricing by contact sales. The developer page also describes API access with pay-as-you-go pricing for supported models.
The source states that Fish Audio supports multiple languages, including English, Japanese, Korean, Chinese, French, German, Arabic, and Spanish, and that S2 Pro supports 80+ languages.
Fish Audio provides REST API access, a Python SDK, and a JavaScript SDK. The developer page also mentions text-to-speech, voice cloning, and speech-to-text support.
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