openWakeWord
WhisperInput
openWakeWord | WhisperInput | |
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5 | 2 | |
457 | 74 | |
- | - | |
8.4 | 1.7 | |
about 1 month ago | 7 months ago | |
Jupyter Notebook | Java | |
Apache License 2.0 | MIT License |
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openWakeWord
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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.
WhisperInput
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Distil-Whisper: distilled version of Whisper that is 6 times faster, 49% smaller
Fortunately yes, recently i've been playing with this github.com/rpdrewes/whisper-websocket-server which uses K6nele as frontend on android if you really care about performance.
Tho if you're looking for a standalone app then you can give this a go : https://github.com/alex-vt/WhisperInput and run it right on your phone :]
For now they both run regular openai whisper thus tiny.en but as you can see there's tons of impromvement potential with faster-whisper and now distill-whisper :D
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What voice inputs can you use other than googles?
Maybe this. https://github.com/alex-vt/WhisperInput
What are some alternatives?
mfcc-rust
distil-whisper - Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
project-2501 - Project 2501 is an open-source AI assistant, written in C++.
K6nele-service - Kõnele service is an Android app that offers a speech-to-text service to other apps, in particular to Kõnele. It implements SpeechRecognizer, backed by an open source speech recognition server software https://github.com/alumae/kaldi-gstreamer-server.
Clippy - A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
whisper-turbo - Cross-Platform, GPU Accelerated Whisper 🏎️
whisper-dictation - Dictation app based on the OpenAI speed to text models
streaming-llm - [ICLR 2024] Efficient Streaming Language Models with Attention Sinks
TX-2-simulator - Simulator for the pioneering TX-2 computer
willow - Open source, local, and self-hosted Amazon Echo/Google Home competitive Voice Assistant alternative
CTranslate2 - Fast inference engine for Transformer models