Skip to main content
Community-maintained integration. This service is built and maintained by edbrdi. Pipecat does not test or officially support it. Please report issues and request changes on the source repository. Learn more about community integrations.

​
Overview

AlkoveVADAnalyzer is a Pipecat VADAnalyzer implementation backed by Cue, the speech detection model of Alkove, an open-source (Apache-2.0) voice SDK. It gives a speech probability every 30 ms, at any input rate, and is a drop-in alternative to Pipecat’s built-in SileroVADAnalyzer. It runs locally on the CPU with Alkove’s own inference engine: no API key and no network calls after the model download. Behind AlkoveFilter, which removes the other voices and the noise, it hears only the user.

Source Repository

Code, example and README of the Pipecat plugin

PyPI Package

The pipecat-alkove package on PyPI

​
Installation

This is a community-maintained package distributed separately from pipecat-ai:

​
Prerequisites

  • No API key. The models (Focus 1.1 MB, Cue 1.1 MB) download once into the cache and are checked by their sha256, when the analyzer is created.

​
Configuration

​
VADParams | None
default:"VADParams(confidence=0.5)"
Pipecat’s VAD parameters. Cue was tuned with a confidence of 0.5, so that is its default; the other values stay Pipecat’s (stop_secs 0.2 s, for Smart Turn).
​
int | None
default:"None"
Input sample rate. None takes the transport’s.
​
alkove.Models | None
default:"None"
Models to use. None loads Focus and Cue once per process, shared by every session.

​
Usage

Give the analyzer to your user aggregator, as you would Silero’s:
It also works in a VADProcessor; example.py runs it on your microphone and prints when you speak.

​
Compatibility

Tested with Pipecat 1.14.0. See the changelog for the latest version.