precise-rs
NLU-engine-prototype-benchmarks
precise-rs | NLU-engine-prototype-benchmarks | |
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4 | 1 | |
10 | 5 | |
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0.0 | 2.6 | |
over 1 year ago | about 1 year ago | |
Rust | Jupyter Notebook | |
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.
precise-rs
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I want to contribute in a big project
here's what's on the pipeline next: - finish mel-spectrogram implementation - publish initial version on crates - move python caching rust side - finish implementing in the precise rust port - potentially build another runner for (open wakeword)[https://github.com/dscripka/openWakeWord] - build an android app that supports user-defined wakewords and has some popular defaults to load. ps not a voice assistant, just the thing that activates the voice assistant.
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are machine learning models language-agnostic
p.s. one of the members of our group had ported the part of the precise engine responsible for decoding to rust, we're working on this lib because the performance of the old mfcc rust lib was bottlenecking the project
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HELP NEEDED: Using RUST and open source tools for reliable wake-word detection :tuerca_y_perno:
I want to share a really cool project with you all: an implementation of the Precise Wakeword engine (the one used in Mycroft) in Rust, called precise-rs. This project is unique because other than the usual advantages of using Rust (like minimal memory usage), there's another nice benefit: running the wakeword engine on Android/iOS we want to be able to say to our phones: "Ok, my dear assistant, do the dishes"💥!!.
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Make your own custom wakeword and other FOSS voice assistant solutions
This release represents the first phase in the wakeword project, we are working on a Rust wakeword engine based on Precise and a SpeechPy MFCC port in Rust so that user's can run the wakeword easily on their phone and other devices. It is hard to believe that there aren't any current good solutions to running a modern FOSS wakeword engine on a phone in real time. We want to change that and allow everyone access to this technology, with their own wakeword of choice.
NLU-engine-prototype-benchmarks
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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?
glados-voice-assistant - DIY Voice Assistant based on the GLaDOS character from Portal video game series. Works with home assistant!
wakeword-data-collector - A prototype CLI in Python where a user can collect all of the recordings needed to produce a wakeword
precise-wakeword-model-maker - Automated, end-to-end wakeword model maker using the Precise Wakeword Engine
secret_sauce_ai - Secret Sauce AI: a coordinated community of tech minded AI enthusiasts
bert-sklearn - a sklearn wrapper for Google's BERT model
Leon - 🧠Leon is your open-source personal assistant.
TX-2-simulator - Simulator for the pioneering TX-2 computer
indonlu - The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)