pvporcupine 1.8.3

On-Device wake word detection powered by deep learning.

Porcupine Wake Word Engine

Made in Vancouver, Canada by Picovoice

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 making it perfect for IoT.
• scalable. It can detect multiple always-listening voice commands with no added CPU/memory footprint.
• self-service. Developers can train custom wake phrases using Picovoice Console.

Compatibility

• Python 3
• Runs on Linux (x86_64), Mac (x86_64), Windows (x86_64), Raspberry Pi (all variants), and Beagle Bone.

Installation

pip3 install pvporcupine

Usage

Create an instance of the engine

import pvporcupine

handle = pvporcupine.create(keywords=['picovoice'])

handle is an instance of Porcupine that detects utterances of "Picovoice". keywords input argument is a shorthand for accessing default keyword files shipped with the package. The list of default keywords can be retrieved by

import pvporcupine

print(pvporcupine.KEYWORDS)

Porcupine can detect multiple keywords concurrently

import pvporcupine

handle = pvporcupine.create(keywords=['bumblebee', 'picovoice'])

To use non-default keyword files use keyword_file_paths input argument instead

import pvporcupine

handle = pvporcupine.create(keyword_file_paths=['/absolute/path/to/keyword/one', '/absolute/path/to/keyword/two', ...])

The sensitivity of the engine can be tuned per keyword using the sensitivities input argument

import pvporcupine

handle = pvporcupine.create(keywords=['grapefruit', 'porcupine'], sensitivities=[0.6, 0.35])

Sensitivity is the parameter that enables trading miss rate for the false alarm rate. It is a floating number within [0, 1]. A higher sensitivity reduces the miss rate at the cost of increased false alarm rate.

When initialized, the valid sample rate is given by handle.sample_rate. Expected frame length (number of audio samples in an input array) is handle.frame_length. The engine accepts 16-bit linearly-encoded PCM.

def get_next_audio_frame():
    pass

while True:
    keyword_index = handle.process(get_next_audio_frame())
    if keyword_index >= 0:
        # detection event logic/callback
        pass

When done resources have to be released explicitly

handle.delete()

Demos

pvporcupinedemo provides command-line utilities for processing real-time audio (i.e. microphone) and files using Porcupine. The source code for these utilities is available on Porcupine's GitHub repository:

• File Demo
• Microphone Demo