lily
wakeword-data-collector
lily | wakeword-data-collector | |
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3 | 2 | |
98 | 13 | |
- | - | |
9.1 | 0.0 | |
4 days ago | over 1 year ago | |
Rust | 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.
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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.
lily
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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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Make your own custom wakeword and other FOSS voice assistant solutions
Lily
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A new crate for encoding/decoding Ogg Opus
Hi all, as part of my effort to make a voice assistant using Rust as core language (Lily) I've made my own decoder/encoder for Ogg Opus, you can see it here:
wakeword-data-collector
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Make your own custom wakeword and other FOSS voice assistant solutions
Wakeword Data Collector
What are some alternatives?
secret_sauce_ai - Secret Sauce AI: a coordinated community of tech minded AI enthusiasts
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.
glados-voice-assistant - DIY Voice Assistant based on the GLaDOS character from Portal video game series. Works with home assistant!
Leon - 🧠 Leon is your open-source personal assistant.
precise-wakeword-model-maker - Automated, end-to-end wakeword model maker using the Precise Wakeword Engine
Zip Foundation - Effortless ZIP Handling in Swift
precise-rs - Precise hotword listener on Tract and Rust
htmx - </> htmx - high power tools for HTML
NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.