precise-wakeword-model-maker VS precise-rs

Compare precise-wakeword-model-maker vs precise-rs and see what are their differences.

precise-wakeword-model-maker

Automated, end-to-end wakeword model maker using the Precise Wakeword Engine (by secretsauceai)

precise-rs

Precise hotword listener on Tract and Rust (by sheosi)
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precise-wakeword-model-maker precise-rs
2 4
16 10
- -
4.8 0.0
about 2 years ago over 1 year ago
Python Rust
Apache License 2.0 Apache License 2.0
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precise-wakeword-model-maker

Posts with mentions or reviews of precise-wakeword-model-maker. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-24.

precise-rs

Posts with mentions or reviews of precise-rs. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-01.
  • I want to contribute in a big project
    6 projects | /r/rust | 1 May 2023
    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.
  • are machine learning models language-agnostic
    1 project | /r/MLQuestions | 21 May 2022
    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
  • HELP NEEDED: Using RUST and open source tools for reliable wake-word detection :tuerca_y_perno:
    4 projects | /r/rust | 23 Mar 2022
    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"💥!!.
  • Make your own custom wakeword and other FOSS voice assistant solutions
    16 projects | /r/selfhosted | 24 Feb 2022
    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.

What are some alternatives?

When comparing precise-wakeword-model-maker and precise-rs you can also consider the following projects:

Leon - 🧠 Leon is your open-source personal assistant.

glados-voice-assistant - DIY Voice Assistant based on the GLaDOS character from Portal video game series. Works with home assistant!

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.

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

mfcc-rust

TX-2-simulator - Simulator for the pioneering TX-2 computer

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.

NLU-snips-converter - Quick and dirty solution to convert CSV training data into Snips JSON format and train an engine

voice-assistant-protocol - A bus for voice assistants, including benchmarks.