https://github.com/amikey/kbd-audio
https://github.com/ggerganov/kbd-audio.git
Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (11.3%) to scientific vocabulary
Repository
https://github.com/ggerganov/kbd-audio.git
Basic Info
- Host: GitHub
- Owner: amikey
- License: mit
- Language: C++
- Default Branch: experiment/fft-cc
- Size: 12.1 MB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
kbd-audio
This is a collection of command-line and GUI tools for capturing and analyzing audio data.
Keytap
The most interesting tool is called keytap - it can guess pressed keyboard keys only by analyzing the audio captured from the computer's microphone.
Check this blog post for more details:
Keytap: description and some random thoughts
Video: short demo of Keytap in action
Keytap2
The keytap2 tool is another interesting tool for recovering text from audio. It does not require training data - instead it uses statistical information about the frequencies of the letters and n-grams in the English language. A more detailed description of the tool is available here: Keytap2 discussion
Video: short demo of Keytap2 in action
CTF: can you guess the text being typed?
What people say about Keytap
"This works incredibly well.\ I hope you realize what you've created (and made available to every person in the world)." -- ffpip
"I just tried it and it works incredibly well. It kind of makes me want to stop using a mechanical keyboard." -- Karawebnetwork
"This attack and Van Eck phreaking are why Edward Snowden, while typing passwords and other sensitive information, would pull a blanket over himself and his laptop." -- aarchi
"This is what mechanical keyboard users deserve" -- super guy
"fuck.." -- Lluis Franco
Build instructions
Dependencies:
SDL2 - used to capture audio and to open GUI windows libsdl
[Ubuntu] $ sudo apt install libsdl2-dev
[Mac OS with brew] $ brew install sdl2
FFTW3 (optional) - some of the helper tools perform Fourier transformations fftw
Linux, FreeBSD and Mac OS
git clone https://github.com/ggerganov/kbd-audio
cd kbd-audio
git submodule update --init
mkdir build && cd build
cmake ..
make
Windows
(todo, PRs welcome)
Tools
Short summary of the available tools. If the status of the tool is not stable, expect problems and non-optimal results.
| Name | Type | Status | | --- | --- | --- | | record | text | stable | | record-full | text | stable | | play | text | stable | | play-full | text | stable | | view-gui | gui | stable | | view-full-gui | gui | stable | | keytap | text | stable | | keytap-gui | gui | stable | | keytap2 | text | development | | keytap2-gui | gui | stable | | - | extra | - | | guess_qp | text | experiment | | guess_qp2 | text | experiment | | key_detector | text | experiment | | scale | text | experiment | | subreak | text | experiment | | keyaveragegui | gui | experiment |
Tool details
- record-full
Record audio to a raw binary file on disk
./record-full output.kbd [-cN]
- play-full
Playback a recording captured via the record-full tool
./play-full input.kbd [-pN]
- record
Record audio only while typing. Useful for collecting training data for keytap
./record output.kbd [-cN] [-CN]
- play
Playback a recording created via the record tool
./play input.kbd [-pN]
- keytap
Detect pressed keys via microphone audio capture in real-time. Uses training data captured via the record tool.
./keytap input0.kbd [input1.kbd] [input2.kbd] ... [-cN] [-CN] [-pF] [-tF]
- keytap-gui
Detect pressed keys via microphone audio capture in real-time. Uses training data captured via the record tool. GUI version.
./keytap-gui input0.kbd [input1.kbd] [input2.kbd] ... [-cN] [-CN]
*Live demo *(WebAssembly threads required) **
- keytap2-gui record.kbd n-gram-dir [-pN] [-cN] [-CN]
Detect pressed keys via microphone audio capture. Uses statistical information (n-gram frequencies) about the language. No training data is required. The 'record.kbd' input file has to be generated via the record-full tool and contains the audio data that will be analyzed. The 'n-gram-dir' folder file has to contain n-gram probability files for the corresponding language.
./keytap2-gui record.kbd ../data
- view-full-gui
Visualize waveforms recorded with the record-full tool. Can also playback the audio data.
./view-full-gui input.kbd [-pN]
- view-gui
Visualize training data recorded with the record tool. Can also playback the audio data.
./view-gui input.kbd [-pN]
Feedback
Any feedback about the performance of the tools is highly appreciated. Please drop a comment here.
Owner
- Login: amikey
- Kind: user
- Repositories: 744
- Profile: https://github.com/amikey
GitHub Events
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Dependencies
- actions/checkout v1 composite



