picovoice
rhino
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| picovoice | rhino | |
|---|---|---|
| 13 | 5 | |
| 497 | 591 | |
| 6.2% | 1.5% | |
| 8.9 | 8.9 | |
| 7 days ago | 7 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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.
picovoice
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Speech Recognition in Unity: Adding Voice Input
Download the Picovoice Unity package
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Speech Recognition using Arduino Nano 33
Picovoice Platform GitHub Repository
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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 STM32: Building hands-free voice experiences
git clone --recurse-submodules \ https://github.com/Picovoice/picovoice.git
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Day 20: On-device Voice Assistant with Flutter
You can use the demo code we open-sourced. It includes wake word and context files, so you can start with them.
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Day 7: Making Cool Raspberry Pi Projects even Cooler with Voice AI (2/4)
You can check out the GitHub repo to see more open-source demos
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Offline Voice Assistant on a Microcontroller with 192KB RAM
Although interestingly enough, the README for the linked repo (https://github.com/Picovoice/picovoice) states that "The SDK is licensed under Apache 2.0 and available on GitHub to encourage independent benchmarking and integration testing." While source isn't provided and only compiled binaries are provided, that should give you permission to flip some bits to skip a license check.
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Voice processing in Embedded Systems
Checkout https://github.com/Picovoice/picovoice I saw it on an article from before and it seemed easy to get started on.
- Voice Control App
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Clock app controlled with offline voice recognition (Tutorial + article in comments)
Check out an article I wrote about it and the source code
rhino
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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
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.
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Cross-Browser Voice Commands with React
Get an AccessKey for free from Picovoice Console. You will need it as part of the init function. Also, get the English Parameter for Rhino from GitHub and save it to the public directory. Rhino uses this file as the basis to understand English context (other languages are also supported).
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Ask HN: Private Alternatives to Alexa?
The only viable option that I found that could reliably infer commands from speech is https://github.com/Picovoice/rhino
Unfortunately it is not open source (the GitHub just has binary blobs) and requires an account to log in to generate and download model files, but the accuracy is great and you can use it to send commands to Home Assistant to turn lights on/off etc.
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Any self hosted Alexa's or similar?
https://github.com/Picovoice/rhino/blob/master/LICENSE sayt it's Apache 2 license
What are some alternatives?
vosk-api - Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
rhasspy - Offline private voice assistant for many human languages
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.
Speech-Recognition - Speech Recognition library for adding Voice Commands and Controls to all your applications. Whether you are building web apps, native apps or desktop apps, this technology can be integrated into any system with an internet connection.
spokestack-python - Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.
Node RED - Low-code programming for event-driven applications
cheetah - On-device streaming speech-to-text engine powered by deep learning
Porcupine - On-device wake word detection powered by deep learning
DiscordSpeechBot - A speech-to-text bot for discord with music commands and more using NodeJS. Ideally for controlling your Discord server using voice commands, can also be useful for hearing-impaired people.