Porcupine
browserify
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Porcupine | browserify | |
---|---|---|
31 | 34 | |
3,412 | 14,526 | |
1.8% | 0.2% | |
9.1 | 2.0 | |
9 days ago | about 1 month ago | |
Python | JavaScript | |
Apache License 2.0 | MIT License |
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.
Porcupine
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I made a ChatGPT virtual assistant that you can talk to
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.
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Speech Recognition in Unity: Adding Voice Input
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.
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Speech Recognition with SwiftUI
Below are some useful resources: Open-source code Picovoice Platform SDK Picovoice website
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Speech Recognition with Angular
Download the Porcupine model and turn the binary model into a base64 string.
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OK Google, Add Hotword Detection to Chrome
Download Porcupine (i.e. Deep Neural Network). Run the following to turn the binary model into a base64 string, from the project folder.
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Hotword Detection for MCUs
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.
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Day 12: Always Listening Voice Commands with React.js
Looking for more? Explore other languages on the Picovoice Console and check out for fully-working demos with Porcupine on GitHub.
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Day 6: Making Cool Raspberry Pi Projects even Cooler with Voice AI (1/4)
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
- Voice Assistant app in Haskell
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What does "end-to-end" mean?
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?
browserify
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How to Create a Real-time Public Transportation Schedule App
Browserify to use node packages in the browser.
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5 Different Tools to Bundle Node.js Apps
Browserify is a widely used JavaScript bundler with over 2 million NPM weekly downloads. In addition to Node.js support, allowing developers to use require() statements in the browser is one of its highlighted features.
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JavaScript Module Bundlers and all that Jazz ✨
This began to change when NPM came in and running npm install became a quick and easy way to install dependencies. Browserify became the first JavaScript bundler. As its documentation says -
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How to use any NPM module with Browserify in the browser
Using Npm Module with Browserify
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What stack would you use for building a landing page?
https://www.npmjs.com/package/browserify probably a little old school, but browserify is probably good enough.
- Node.js やReact、ESM、Viteの説明
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Hack to Run React Application inside Service Worker
One problem was to run jsDOM as UMD module. But luckly I was able to use browserify to compile jsDOM into UMD.
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Front-end Guide
Browserify
- How to serve my JS / node API client page?
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How to "import" modules in JS files and questions about best practices.
https://browserify.org/ is an easy one to get started with.
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
vite - Next generation frontend tooling. It's fast!
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
esbuild - An extremely fast bundler for the web
Caffe - Caffe: a fast open framework for deep learning.
Rollup - Next-generation ES module bundler
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.
RequireJS - A file and module loader for JavaScript
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
webpack - A bundler for javascript and friends. Packs many modules into a few bundled assets. Code Splitting allows for loading parts of the application on demand. Through "loaders", modules can be CommonJs, AMD, ES6 modules, CSS, Images, JSON, Coffeescript, LESS, ... and your custom stuff.
Caffe2
parcel - The zero configuration build tool for the web. 📦🚀