4 releases (2 breaking)
|0.4.4||Aug 21, 2020|
|0.3.0||May 3, 2020|
|0.1.1||Mar 31, 2020|
|0.1.0||Mar 30, 2020|
#64 in Machine learning
32 downloads per month
This project is mainly a "front-end" to the original ecoz2 implementation in C, with some functionality implemented in Rust.
ecoz2 executable is currently being built and released for
Linux and MacOS, which you can find under
Alternatively, you can also install the executable using
For this you will also need a GNU gcc compiler on your machine.
On Linux you can run:
$ CC=gcc cargo install ecoz2
and on a MacOS, something like:
$ CC=gcc-9 cargo install ecoz2
This may take some time to complete (example of output here).
$ ecoz2 ecoz2 0.3.35 ECOZ2 System USAGE: ecoz2 <SUBCOMMAND> FLAGS: -h, --help Prints help information -V, --version Prints version information SUBCOMMANDS: csv-show Basic csv selection info cversion Show version of C code help Prints this message or the help of the given subcommand(s) hmm HMM operations lpc Linear prediction coding prd Predictor file operations seq Sequence file operations sgn Signal operations vq VQ operations
Starting with a set of acoustic signals (WAV format) on your machine, the typical use of the system will involve the following main subcommands in this general order:
ecoz2 lpc: takes
*.wavand generates perdictor files
ecoz2 vq learntakes
*.prdand generates codebooks
ecoz2 vq quantizetakes
*.prdand generates observation sequences
ecoz2 hmm learntakes
*.seqand generates an HMM model
ecoz2 hmm classifytakes
*.seqand reports classification of the sequences
ecoz2 is included as a submodule, with selected functionality exposed via https://doc.rust-lang.org/cargo/reference/build-scripts.html.
$ cargo build [--release]