Speechify

Speechify is a text-to-speech plugin. It turns the LLM’s reply into audio the caller hears using Speechify’s SIMBA model family.

Setup

Set your Speechify API key in the worker environment. Generate a key from the Speechify console:

export SPEECHIFY_API_KEY=<key>

Usage

Import the plugin and pass it to the pipeline’s tts slot.

from zrt.plugins import SpeechifyTTS

tts = SpeechifyTTS()

# Pipeline(tts=tts, ...)

Parameters

Parameter	Type	Default	Description
`api_key`	`str \| None`	`None`	Speechify API key. Falls back to the `SPEECHIFY_API_KEY` environment variable when unset.
`voice_id`	`str`	`"kristy"`	Speechify voice identifier. Browse the full catalogue at the Speechify voice library.
`model`	`str`	`"simba-english"`	SIMBA model variant. `"simba-english"` is the flagship English model with the highest quality, lowest streaming latency, and full SSML support. `"simba-multilingual"` adds cross-language support. `"simba-base"` and `"simba-turbo"` are deprecated.
`sample_rate`	`int`	`24000`	Output audio sample rate in Hz.

Spoken replies support interruptions. When the caller talks over the agent, the runtime stops the audio and listens again. See the plugins overview for how TTS fits into the rest of the pipeline.

Rime Neuphonic

Plugins

Inference Gateway

Speech-to-text

LLM

Text-to-speech

Realtime models

Avatars

Turn detection

Voice activity detection

Noise cancellation

Setup

Usage

Parameters

​Setup

​Usage

​Parameters

Setup

Usage

Parameters