openWakeWord
DeepFilterNet
openWakeWord | DeepFilterNet | |
---|---|---|
5 | 10 | |
468 | 1,969 | |
- | - | |
8.4 | 8.9 | |
about 1 month ago | 8 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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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.
DeepFilterNet
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Anyone know of a good TTS pipeline for raw speech data?
You mean remove background noise and transcribe? Then you can use DeepFilterNet to remove noise, and Whisper to transcribe.
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Open Source Libraries
Rikorose/DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering
- DeepFilterNet: Noise supression using deep filtering
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Linux Audio Noise suppression using deep filtering in Rust
It looks like the library in Rust is using `tract-onnx` to do the inference: https://github.com/Rikorose/DeepFilterNet/blob/2a84d2a1750a5... I am wondering whether using Python for research, training in big data center, and Rust at edge for efficient inference would be a trend in the future. We do have a larger community of C++ right now for inference (e.g. ggml). But Rust crate as component to build applications of AI is joy to use.
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Real-Time Noise Suppression for PipeWire writen in Rust
Repo: https://github.com/Rikorose/DeepFilterNet
What are some alternatives?
WhisperInput - Offline voice input panel & keyboard with punctuation for Android.
NoiseTorch - Real-time microphone noise suppression on Linux.
mfcc-rust
audio-webui - A webui for different audio related Neural Networks
project-2501 - Project 2501 is an open-source AI assistant, written in C++.
noise-repellent - Lv2 suite of plugins for broadband noise reduction
Clippy - A bunch of lints to catch common mistakes and improve your Rust code. Book: https://doc.rust-lang.org/clippy/
PiDTLN - Apply machine learning model DTLN for noise suppression and acoustic echo cancellation on Raspberry Pi
whisper-dictation - Dictation app based on the OpenAI speed to text models
wenet - Production First and Production Ready End-to-End Speech Recognition Toolkit
TX-2-simulator - Simulator for the pioneering TX-2 computer
rnnoise - Recurrent neural network for audio noise reduction