picovoice 1.1.2

Picovoice is an end-to-end platform for building voice products on your terms.

Picovoice

Made in Vancouver, Canada by Picovoice

Picovoice is an end-to-end platform for building voice products on your terms. It enables creating voice experiences similar to Alexa and Google. But it entirely runs 100% on-device. Picovoice is

• Private: Everything is processed offline. Intrinsically HIPAA and GDPR compliant.
• Reliable: Runs without needing constant connectivity.
• Zero Latency: Edge-first architecture eliminates unpredictable network delay.
• Accurate: Resilient to noise and reverberation. It outperforms cloud-based alternatives by wide margins *.
• Cross-Platform: Design once, deploy anywhere. Build using familiar languages and frameworks.

Compatibility

• Python 3
• Runs on Linux (x86_64), Mac (x86_64), Windows (x86_64), Raspberry Pi (all variants), NVIDIA Jetson (Nano), and BeagleBone.

Installation

pip3 install picovoice

Usage

Create a new instance of Picovoice runtime engine

from picovoice import Picovoice

keyword_path = ...

def wake_word_callback():
    pass

context_path = ...

def inference_callback(inference):
    # `inference` exposes three immutable fields:
    # (1) `is_understood`
    # (2) `intent`
    # (3) `slots`
    pass

handle = Picovoice(
        keyword_path=keyword_path,
        wake_word_callback=wake_word_callback,
        context_path=context_path,
        inference_callback=inference_callback)

handle is an instance of Picovoice runtime engine that detects utterances of wake phrase defined in the file located at keyword_path. Upon detection of wake word it starts inferring user's intent from the follow-on voice command within the context defined by the file located at context_path. keyword_path is the absolute path to Porcupine wake word engine keyword file (with .ppn suffix). context_path is the absolute path to Rhino Speech-to-Intent engine context file (with .rhn suffix). wake_word_callback is invoked upon the detection of wake phrase and inference_callback is invoked upon completion of follow-on voice command inference.

When instantiated, valid sample rate can be obtained via handle.sample_rate. Expected number of audio samples per frame is handle.frame_length. The engine accepts 16-bit linearly-encoded PCM and operates on single-channel audio.

def get_next_audio_frame():
    pass

while True:
    handle.process(get_next_audio_frame())

When done resources have to be released explicitly

handle.delete()

Demos

picovoicedemo provides command-line utilities for processing real-time audio (i.e. microphone) and files using Picovoice platform.