selene-backend
Porcupine
selene-backend | Porcupine | |
---|---|---|
4 | 31 | |
145 | 3,452 | |
0.0% | 2.0% | |
0.0 | 9.0 | |
about 1 year ago | 12 days ago | |
Python | Python | |
GNU Affero General Public License v3.0 | 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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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.
selene-backend
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Is there such a thing as a self-hosted Alexa that runs on a server, and has low power devices like an Amazon Alexa subscribe to that service?
You can install the Selene backend (https://github.com/mycroftai/selene-backend) and do everything locally if you wish.
- Leon: Open-source, self-hosted personal assistant
- Is it possible to self host a voice assistant?
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Shouldn't Mycroft be on awesome-selfhosted?
you could run https://github.com/MycroftAI/selene-backend and the matching frontend project yourself, if one was so inclined. You'd need to tinker with the mycroft configuration ofcourse.
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?
What are some alternatives?
karen-app - This is the app for Karen, an open-source voice assistant.
snowboy - Future versions with model training module will be maintained through a forked version here: https://github.com/seasalt-ai/snowboy
rhasspy-mobile-app - A simple mobile app for rhasspy.
mycroft-precise - A lightweight, simple-to-use, RNN wake word listener
whisper-rhasspy-http - Rhasspy Whisper integration
Caffe - Caffe: a fast open framework for deep learning.
sepia-docs - Documentation and Wiki for SEPIA. Please post your questions and bug-reports here in the issues section! Thank you :-)
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.
Leon - 🧠 Leon is your open-source personal assistant.
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
AlexaPi - Alexa client for all your devices! # No active development. PRs welcome # consider https://github.com/respeaker/avs instead
Caffe2