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Porcupine wake word engine demo for ReSpeaker 4-mic hat.

Project description

Porcupine ReSpeaker Demo

Made in Vancouver, Canada by Picovoice

This package contains a commandline demo for controlling ReSpeaker 4-mic microphone array LEDs using Porcupine.

Porcupine

Porcupine is a highly-accurate and lightweight wake word engine. It enables building always-listening voice-enabled applications. It is

  • using deep neural networks trained in real-world environments.
  • compact and computationally-efficient. It is perfect for IoT.
  • cross-platform. Raspberry Pi, BeagleBone, Android, iOS, Linux (x86_64), macOS (x86_64), Windows (x86_64), and web browsers are supported. Additionally, enterprise customers have access to the ARM Cortex-M SDK.
  • scalable. It can detect multiple always-listening voice commands with no added runtime footprint.
  • self-service. Developers can train custom wake word models using Picovoice Console.

Installation

Follow the instructions on Seeed Studio to install and set up the microphone array.

Then install the demo:

sudo pip3 install ppnrespeakerdemo

Usage

Below are the colors associated with supported wake words for this demo:

  • #ffff33 Alexa
  • #ff8000 Bumblebee
  • #ffffff Computer
  • #ff0000 Hey Google
  • #800080 Hey Siri
  • #ff3399 Jarvis
  • #00ff00 Picovoice
  • #0000ff Porcupine
  • #000000 Terminator

Run the demo:

porcupine_respeaker_demo

Wait for the demo to initialize and print [Listening] in the terminal. Say:

Picovoice

The demo outputs:

detected 'Picovoice'

The lights are now set to green. Say:

Alexa

The lights are set to yellow now. Say:

Terminator

to turn off the lights.

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ppnrespeakerdemo-1.9.4.tar.gz (12.6 kB view hashes)

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ppnrespeakerdemo-1.9.4-py3-none-any.whl (12.5 kB view hashes)

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