node-pre-gyp VS Porcupine  

The problem is that it determines the the system's platform and architecture using the binary compiling package node-pre-gyp and this very savior of a Github issue details how node-pre-gyp is not handling ARM architecture detection properly and basically mixing everything up. Because it's not detecting properly, even if we build our own binding with --build-from-source when installing, it still won't work because it is compiling the wrong binding file for the wrong architecture. To make matters worse, if we don't use --build-from-source, it just simply fetches the Intel precompiled binding file. napi-v6-darwin-unknown-x64

Indeed, Snowboy uses node-pre-gyp which helps to publish and install Node.js C++ addons from binaries. So when a new Node.js version is shipped, node-pre-gyp must update its listing of the supported targets by specifying the:

Node is like 95% OK with ARM chips, so you might have a tricky dependency. Every time I had problems it was related to something depending on node-pre-gyp, there is an issue about it .

I call it DaVinci. DaVinci uses Picovoice (https://picovoice.ai/) solutions for wake word and voice activity detection and for converting speech to text, Amazon Polly to convert its responses into a natural sounding voice, and OpenAI’s GPT 3.5 to do the heavy lifting. It’s all contained in about 300 lines of Python code.

Download pre-trained models: "Porcupine" from Porcupine Wake Word and Video Player Context from Rhino Speech-to-Intent repositories - You can also train a custom models on Picovoice Console.

Below are some useful resources: Open-source code Picovoice Platform SDK Picovoice website

Download the Porcupine model and turn the binary model into a base64 string.

Download Porcupine (i.e. Deep Neural Network). Run the following to turn the binary model into a base64 string, from the project folder.

Porcupine SDK Porcupine SDK is on GitHub. Find libraries for supported MCUs on the Porcupine GitHub repository. Arduino libraries are available via a specialized package manager offered by Arduino.

Looking for more? Explore other languages on the Picovoice Console and check out for fully-working demos with Porcupine on GitHub.

Don't forget to visit Porcupine's Wake Word's Github repository to see Python demos. If you want to do something similar to the video above, find the open-source codes here

I sometimes see the term "end-to-end", and it always passes right by my ears as marketing jargon. For example, there was a recent post today that linked to this page: https://picovoice.ai/, and you'll find the statement "... end-to-end platform for adding voice to anything on your terms". I did a quick Google search and it seems like the term is used in many different contexts (e.g., encryption, enterprise software for product development, etc.), but to be honest, I'm just not getting it. Maybe someone can explain here within the realm of embedded software? Could you provide some examples as well?