Porcupine
Serpent.AI
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Porcupine | Serpent.AI | |
---|---|---|
31 | 5 | |
3,424 | 6,321 | |
1.8% | - | |
9.1 | 0.0 | |
6 days ago | over 2 years ago | |
Python | Python | |
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?
Serpent.AI
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I forced an AI to watch 5000 Isaac episodes and this is what happened
A: I am. While serpent.ai attempted to get an AI to play Isaac, the project hasn't been updated in years.
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A bot is livestreaming. Clearly Blizzard doesn't care.
You don't need a whole team nowadays. Amazon has services that let you train your own neural nets with a little bit of knowledge. Then there are tools like SerpentAI that let your AI interface with games (don't know if it works with Blizzard games, but it works with Steam).
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I'm on a 64 bit win10 pc and want to make a tas for a unity game, that is what I have. How do I make a tas
i cant. is there any way https://github.com/SerpentAI/SerpentAI would work. the game is entirely mouse movements.
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Using NEAT and Serpent.AI to train an agent to play DK Country- is this a bad idea?
Hey! So, I'd like to implement NEAT machine learning to train an agent to play Donkey Kong Country, but there doesn't seem to be much in the way of tutorials/examples for Serpent.AI (like, its weirdly dead given how powerful it seems to be and github page is full of dead links) so I wanted to see if any of you fine folk would recommend for/against its use or that of an alternative. Any other advice also appreciated.
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Best Websites Every Programmer Should Visit
Serpent AI : Game Agent Framework. Helping you create AIs / Bots to play any game you own! BETA
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
Caffe2
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
Caffe - Caffe: a fast open framework for deep learning.
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
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.
Projects - :page_with_curl: A list of practical projects that anyone can solve in any programming language.
silero-models - Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple