Porcupine - Python API

Requirements

• Python 3
• PIP

Compatibility

• Linux (x86_64)
• macOS (x86_64)
• Windows (x86_64)
• Raspberry Pi (all variants)
• BeagleBone.

Installation

pip3 install pvporcupine

Usage

The PIP package exposes a factory method to create instances of the engine:

import pvporcupine

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

keywords argument is a shorthand for accessing default keyword files shipped with the library. The default keyword files available can be retrieved via:

import pvporcupine

print(pvporcupine.KEYWORDS)

If you wish to use a non-default keyword file you need to identify its path as below

import pvporcupine

handle = pvporcupine.create(keyword_paths=['path/to/non/default/keyword/file'])

When initialized, valid sample rate can be obtained using handle.sample_rate. Expected frame length (number of audio samples in an input array) is handle.frame_length. The object can be used to monitor incoming audio as below.

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

Finally, when done be sure to explicitly release the resources as the binding class does not rely on the garbage collector.

handle.delete()

Custom Wake Word

You can create custom Porcupine wake word models using Picovoice Console.

Non-English Wake Words

In order to detect non-English wake words you need to use the corresponding model file. The model files for all supported languages are available here.