Hilly Sounds is a collaboration of Kitt Zwovic and Cassaundra Smith for credit in CS 410 Intro to Comp. Photography and CS 410P Music, Sound & Computers.
The idea behind this project is to convert a sequence of sound samples into an image representation, using a Hilbert curve mapping, perform various image filters and effects to manipulate the data, and then decode that visual data back into sound.
Our implementation consists of a command-line interface built on top of a library.
Requirements:
- Your favorite flavor of Linux with up-to-date audio software
- The Rust nightly toolchain
git clone [email protected]:hilly-sounds/hilly-sounds.git
cd hilly-sounds
cargo build --bin hscli --features=binary,completion,cpal,json,toml --releaseThe program will be located in target/release/hscli.
Try running the program with --help to learn how to use it, or skip to the examples.
The following example uses SoX for playback and feh for image preview.
# use a provided configuration preset
cat presets/example.toml
export PRESET=presets/example.toml
# make a directory to dump output files into
mkdir output
# listen to the sample you want to encode
play samples/sounds/anxiety_moozic.wav
# now encode it!
hscli encode samples/sounds/anxiety_moozic.wav output/
# view the output
feh output/anxiety_moozic.png
# decode the image and play the sound directly
# check out the --device and --list-device flags if you have trouble with playback
hscli decode-play samples/sounds/anxiety_moozic.wav
# if you want, you can also decode the image to a WAV file
# in the same manner as encoding from before
hscli decode samples/sounds/anxiety_moozic.wav output/Check out the files in the samples directory for inspiration.
The hscli binary supports shell completion for some shells (including bash, zsh, fish, and PowerShell).
With the completion feature enabled, run hscli generate-completions <shell>, directing the output to wherever your shell reads completion scripts.
You can view the slides by hosting the presentation/ directory on a server and viewing the index.html file.
One easy way to do this might be running the following script and opening http://localhost:8000/ in your browser:
cd presentation/
python -m http.server