This project is mainly a "front-end" to the original ecoz2 implementation in C, with some functionality implemented in Rust.

The ecoz2 executable is currently being built and released for Linux and MacOS, which you can find under releases.

Alternatively, you can also install the executable using Rust. For this you will also need a GNU gcc compiler on your machine.

On Linux you can run:

$ export CC=gcc
$ cargo install ecoz2

and on a MacOS, something like:

$ brew install gcc
$ export CC=gcc-10
$ cargo install ecoz2

This may take some time to complete (example of output here).

Running:

$ ecoz2
...
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
    mm          MM operations
    nb          NBayes operations
    prd         Predictor file operations
    seq         Sequence file operations
    sgn         Signal operations
    util        Utilities
    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 *.wav and generates predictor files *.prd
• ecoz2 vq learn takes *.prd and generates codebook files *.cbook
• ecoz2 vq quantize takes *.cbook and *.prd and generates observation sequences *.seq
• ecoz2 hmm learn takes *.seq and generates an HMM model *.hmm
• ecoz2 hmm classify takes *.hmm and *.seq, performs classification of the sequences and reports the results

ecoz2 is included as a submodule, with selected functionality exposed via https://doc.rust-lang.org/cargo/reference/build-scripts.html.

$ export CC=gcc-10
$ cargo build [--release]
$ cargo install --path .