BigBoard VS Porcupine  

Compare BigBoard vs Porcupine   and see what are their differences.

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BigBoard Porcupine  
0 31
67 3,251
- 1.6%
0.0 9.1
about 4 years ago 15 days ago
Swift Python
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.


Posts with mentions or reviews of BigBoard. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning BigBoard yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of Porcupine  . We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-16.
  • Speech Recognition in Unity: Adding Voice Input
    3 projects | | 16 Feb 2023
    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.
  • Speech Recognition with SwiftUI
    5 projects | | 13 Feb 2023
    Below are some useful resources: Open-source code Picovoice Platform SDK Picovoice website
    5 projects | | 13 Feb 2023
    In order to initialize the voice AI, we’ll need both Porcupine (.ppn) and Rhino (.rhn) model files. Picovoice has made several pre-trained Porcupine and pre-trained Rhino models available on the Picovoice GitHub repositories. For this Barista app, we’re going to use the trigger phrase Hey Barista and the Coffee Maker context.
  • Voice Assistant app in Haskell
    8 projects | /r/haskell | 3 Jan 2023
  • Ask HN: Offline, Embeddable Speech Recognition?
    4 projects | | 19 Aug 2022
  • How to get high-quality, low-cost Speech-to-Text transcription?
    3 projects | /r/AskProgramming | 24 Jul 2022
  • Researchers find Amazon uses Alexa voice data to target you with ads
    3 projects | /r/technology | 28 Apr 2022
  • Offline voice recognition on RPi Pico
    2 projects | /r/raspberrypipico | 7 Feb 2022
    I asked them to support Pi Pico, but it seems my petition would need more support from the community.
    2 projects | /r/raspberrypipico | 7 Feb 2022
    I know about PicoVoice ! They support a Cortex M4 Arduino board : Nano 33 BLE Sense. But that board is out of stock for over an year. We can do pretty cool stuff with it like this.
  • Is it possible to self host a voice assistant?
    6 projects | /r/selfhosted | 5 Jul 2021
    Consider looking at , you can get pre-compiled versions of it and there are versions that will run on a Raspberry Pi, and yes... it's all local, but your mileage may vary. And there is also they run stuff locally on the machine, but again each use a constrained local language model/syntax. The other real question, as correctly states is the use of the wake-word... most systems process all sound, ie. are listening all the time, a number of the Alexa or Google Assistants or similar approaches embed a smaller model or use hardware/neural networks to recognize the wake-word before passing on sound to further syntax processing, so think of most of these devices as always listening and processing and you'd be right, so factor that into power usage etc.

What are some alternatives?

When comparing BigBoard and Porcupine   you can also consider the following projects:

snowboy - Future versions with model training module will be maintained through a forked version here:

mycroft-precise - A lightweight, simple-to-use, RNN wake word listener

Caffe - Caffe: a fast open framework for deep learning.

DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more


Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

whisper.cpp - Port of OpenAI's Whisper model in C/C++

NoSleep.js - Prevent display sleep and enable wake lock in any Android or iOS web browser.

soundtouch-android - Android bindings for SoundTouch lib, focused on size optimization and real-time processing.