secret_sauce_ai
NLU-snips-converter
| secret_sauce_ai | NLU-snips-converter | |
|---|---|---|
| 4 | 1 | |
| 65 | 0 | |
| - | - | |
| 0.0 | 0.0 | |
| almost 2 years ago | over 2 years ago | |
| Apache License 2.0 | Apache License 2.0 |
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secret_sauce_ai
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HELP NEEDED: Using RUST and open source tools for reliable wake-word detection :tuerca_y_perno:
Hello there 👋🏻!! My name is Sergio Tortosa (you might've heard my project Lily 💮, the Rust-based voice assistant), though, this time I'm speaking as part of Secret Sauce AI (TL;DR a super cool community advancing the state of the art of open source AI stuff).
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synthesia.io alternative
I have seen this posted in some other groups that might be of some interest https://github.com/secretsauceai/secret_sauce_ai
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Make your own custom wakeword and other FOSS voice assistant solutions
tl;dr Secret Sauce AI made some FOSS tools to make your own custom wakewords easily:
NLU-snips-converter
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Make your own custom wakeword and other FOSS voice assistant solutions
This will be the next project we focus on. We will benchmark current solutions, improving general data sets, and publish information to help everyone improve upon their current NLU-NLG use cases. All of this is still a heavy work in progress. * NLU engine prototype benchmark and examples * Snips data set converter
What are some alternatives?
mfcc-rust
Leon - 🧠 Leon is your open-source personal assistant.
precise-wakeword-model-maker - Automated, end-to-end wakeword model maker using the Precise Wakeword Engine
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.
wakeword-data-collector - A prototype CLI in Python where a user can collect all of the recordings needed to produce a wakeword
glados-voice-assistant - DIY Voice Assistant based on the GLaDOS character from Portal video game series. Works with home assistant!
lily - Open source voice assistance for humans
voice-assistant-protocol - A bus for voice assistants, including benchmarks.