|-||about 14 hours ago|
|-||Apache License 2.0|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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We haven't tracked posts mentioning ARKKit yet.
Tracking mentions began in Dec 2020.
Alternative to AlwaysOnHotwordDetector API in Android since it has been deprecated?
1 project | reddit.com/r/androiddev | 16 Oct 2021
Does an app or device like this exist? [D]
1 project | reddit.com/r/MachineLearning | 29 Aug 2021
In case I was totally wrong about your intent. And since this is an interesting topic. https://github.com/Picovoice/porcupine
Is it possible to self host a voice assistant?
6 projects | reddit.com/r/selfhosted | 5 Jul 2021
Consider looking at https://github.com/mozilla/DeepSpeech , 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 https://picovoice.ai/ they run stuff locally on the machine, but again each use a constrained local language model/syntax. The other real question, as https://www.reddit.com/user/eduncan911/ 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.
Getting Rid of Dust / 1.0.0-beta.4
14 projects | dev.to | 1 May 2021
I found some alternatives such as Porcupine from Picovoice that works pretty well. But at the moment I'm writing this, their tooling does not allow to have short hotword like Leon. Which is in fact a best practice, but it means we'd need to comply such limitations.
No Way, Google: Build Your Own Wake Word Service on Android
1 project | reddit.com/r/coding | 16 Apr 2021
Valid concern! Here's what the profiling showed on my Pixel 3:
No Way, Google: Build Your Own Wake Word Service on Android (Source code in comments)
1 project | reddit.com/r/programming | 16 Apr 2021
No Way, Google: Build Your Own Wake Word Service on Android (source code in comments)
1 project | reddit.com/r/androiddev | 16 Apr 2021
Check out the source code here
Is this library essentially the same as WebRTC?
3 projects | reddit.com/r/WebRTC | 23 Feb 2021
Whats The Best Wake Wordhotword Detector
1 project | reddit.com/r/learnpython | 5 Feb 2021
Check out Porcupine
Adding offline voice controls to a cross-platform C# GUI (Tutorial + source code in the comments)
1 project | reddit.com/r/csharp | 6 Jan 2021
For those who want to dive deeper, here's the tutorial and source code!
What are some alternatives?
snowboy - Future versions with model training module will be maintained through a forked version here: https://github.com/seasalt-ai/snowboy
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
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.
Caffe - Caffe: a fast open framework for deep learning.
catboost - A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.
LedFx - LedFx is a network based LED effect controller with support for advanced real-time audio effects! LedFx can control multiple devices and works great with cheap ESP8266 nodes allowing for cost effective synchronized effects across your entire house!
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
neptune-client - Neptune client library - integrate your Python scripts with Neptune
Theano - Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as aesara: www.github.com/pymc-devs/aesara