Editing Porcupine

Porcupine by Picovoice.ai <ref>https://picovoice.ai/platform/porcupine/</ref> is a commercial wake-word engine with some open components licensed under Apache 2.0. The open-source parts change from version to version but usually include a SDK to integrate the engine and a number of wake-words that can be used freely like "Computer", "Jarvis", "Alexa", "Hey Siri" etc..

When it was first released to the public in March 2018 it quickly became the go-to solution for open-source projects due to its high accuracy, low resource requirements and good platform support though the selection of free wake-words was pretty limited at that time (Picovoice, Alexa, Raspberry and some more "exotic" words <ref>https://github.com/Picovoice/porcupine/tree/0507c5250b50d0a938b714ba604819d61fc9e602/resources/keyword_files</ref>). 

The most unique aspect of Porcupine is the ability to create new wake-words from just one line of text, no audio recording, no training data! <ref>https://medium.com/@alirezakenarsarianhari/yet-another-wake-word-detection-engine-a2486d36d8d4</ref>. Unfortunately this feature was only available (with some very limited exceptions) to commercial customers until Porcupine v2.0. Since v2.0 everyone can create their own wake-words via the Picovoice online console within the limited free-tier <ref>https://picovoice.ai/console/</ref><ref>https://picovoice.ai/blog/introducing-picovoices-free-tier/</ref>. The drawback of version 2.0 is that the usage requires an API key and devices need to be activated by contacting the Picovoice server every now and then.

== Features Summary ==

* Commercial product with a free tier and some open parts. Access key and online activation since v2.0 (December 2021).
* At the time of writing (Jan. 2022) probably the best wake-word engine for open-source projects in terms of accuracy and platform support (empiric data, needs some real statistics).
* Available on basically any platform and in any programming language from x86 to ARM, from PCs to microcontrollers, from Android to Raspberry Pi, from Python to Javascript (WASM support).
*Popular wake-words available in free version (e.g. "Computer", "Jarvis", "Alexa" etc.). To avoid registration, access key management and online activation use Porcupine v1.9.
* Everyone can create custom wake-words with one line of text via web console (v2.0).
* Low resource consumption (works on Raspberry Pi Zero).

== Links ==