mfcc-rust
NLU-engine-prototype-benchmarks
mfcc-rust | NLU-engine-prototype-benchmarks | |
---|---|---|
5 | 1 | |
16 | 5 | |
- | - | |
5.8 | 2.6 | |
10 months 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.
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.
mfcc-rust
-
Real-Time Noise Suppression for PipeWire writen in Rust
hey, quick question. do you mind if I use your stft function in the speech preprocessing library I've been working on? we've been trying to add support for doing mel spectrograms to build a runner for openwakeword, but progress is pretty slow because I've been soloing something I really don't have the right background for(I've never directly studied or worked with signal processing)
-
Hey Rustaceans! Got a question? Ask here (23/2023)!
So I've been working on an speech preprocessing library for rust for a minute now. The tl;dr is it contains functions related to preprocessing audio for use in speech-centric models. I've run into a situation where I'm running against a few conflicting design constraints and trying to figure out the best way to handle state for a set of functions.
-
I want to contribute in a big project
we could always use contributors for mfcc-rust/speechsauce(we're planning on changing the name as it's not limited to just computing mfcc's).
-
HELP NEEDED: Using RUST and open source tools for reliable wake-word detection :tuerca_y_perno:
The code has comments and in the GitHub issues is written what's missing, the goal is to mimic functionality from NumPy not present in NDArray (a library for maths operations). You can find the code here: https://github.com/secretsauceai/mfcc-rust. Take a look, if you feel that you can give a hand, that would be amazing!!! Let's make a new exciting voice future!!!
-
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
-
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?
secret_sauce_ai - Secret Sauce AI: a coordinated community of tech minded AI enthusiasts
wakeword-data-collector - A prototype CLI in Python where a user can collect all of the recordings needed to produce a wakeword
openWakeWord - An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.
precise-wakeword-model-maker - Automated, end-to-end wakeword model maker using the Precise Wakeword Engine
TX-2-simulator - Simulator for the pioneering TX-2 computer
bert-sklearn - a sklearn wrapper for Google's BERT model
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.
NLU-snips-converter - Quick and dirty solution to convert CSV training data into Snips JSON format and train an engine
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)