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openWakeWord Alternatives
Similar projects and alternatives to openWakeWord
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Stream
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willow
Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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distil-whisper
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
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project-2501
Discontinued Project 2501 is an open-source AI assistant, written in C++. [GET https://api.github.com/repos/Ono-Sendai/project-2501: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]
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whisper.el
Speech-to-Text interface for Emacs using OpenAI's whisper model and whisper.cpp as inference engine.
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NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better openWakeWord alternative or higher similarity.
openWakeWord discussion
openWakeWord reviews and mentions
Posts with mentions or reviews of openWakeWord.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-03-17.
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The Alexa feature "Do Not Send Voice Recordings" you enabled no longer available
That comes with the draw back of more power use and more importantly higher cpu use for each microphone you add. It's still possible (https://github.com/dscripka/openWakeWord)
The alternative for a dedicated low power device is to have trained a model to run on smaller micro controllers so that it can run locally on low powered devices (https://github.com/kahrendt/microWakeWord) this is what they have chosen for their dedicated devices.
This choice also comes with much higher default privacy. Which is great as home assistant offers cloud integration and the fact that they put privacy first in this area makes it much easier to trust they do the right thing in other areas.
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OpenAI releases Whisper v3, new generation open source ASR model
https://github.com/dscripka/openWakeWord
Balancing wake reliability vs false wake activation is a tricky balance. OWW is decent but could certainly be better.
It's used with Home Assistant now so I expect the training data and implementation overall to get significantly better fairly soon.
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Distil-Whisper: distilled version of Whisper that is 6 times faster, 49% smaller
There's also OpenWakeWord[0]. The models are readily available in tflite and ONNX formats and are impressively "light" in terms of compute requirements and performance.
It should be possible.
[0] - https://github.com/dscripka/openWakeWord
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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)
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I'm new to Rust but want to contribute
potentially build another runner for open wakeword
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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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A note from our sponsor - SaaSHub
www.saashub.com | 9 Jul 2025
Stats
Basic openWakeWord repo stats
6
1,245
7.7
12 months ago
dscripka/openWakeWord is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of openWakeWord is Jupyter Notebook.
Popular Comparisons
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