Fish Audio
Text-to-speech
Fish Audio is a text-to-speech engine with a large voice marketplace, voice cloning, and automatic language detection across dozens of languages.
Models
SignalWire supports the following Fish Audio models. See Fish Audio’s documentation for more detail.
Voices
Press play to audition any Fish Audio voice, then copy config to grab the value for SWML or your SDK.
A Fish Audio voice ID is a reference ID — a long hexadecimal string found on the voice’s page
in the Fish Audio marketplace. The default voice is Energetic Male
(802e3bc2b27e49c2995d23ef70e6ac89).
Only Fish Audio’s public marketplace voices are supported. Cloned and custom voices do not work — use a reference ID from the public marketplace.
Browse voices and find their reference IDs on Fish Audio’s platform:
Browse and preview marketplace voices.
Reference for models, voices, and cloning.
Languages
Fish Audio has no language setting — the model automatically detects the language of your text.
The s2.1-pro model covers roughly 83 languages; refer to the
Fish Audio docs for current language coverage.
Usage
A voice identifier string has three parts: the fish engine code, a reference ID, and an optional model.
Format: fish.<referenceId>:<model>
referenceId(required): a Fish Audio voice reference ID; see Voices.model(optional): one of the models above. Defaults tos2.1-pro.
Examples:
You can also set the model with the separate
model
parameter of the languages SWML method
instead of appending :model to the voice string:
Build with Fish Audio on SignalWire
Create a Space and add credit
If you don’t have one yet, you’ll need to create a SignalWire Space. Be sure to add some credit to test with.
Add a new Resource
Navigate to the Resources tab in your SignalWire Dashboard and click + Add New to create a new Resource.
Create a SWML Script
From the Resources menu, select SWML Script. Name it something fun and recognizable. Ours is titled Fish Wizard.
Next, paste the following starter script into the text box, and hit Save:
Next steps with SWML
Now you’ve deployed your very first SignalWire voice AI application using Fish Audio voices. Next, dive deeper into SWML to explore its capabilities!
