Analyse Audio Recordings and Automatically Extract Animal Vocalizations.
bioacoustics: detect and extract automatically acoustic features in audio recordings
Description
bioacoustics contains all the necessary functions to read audio recordings of various formats, filter noisy files, display audio signals, detect and extract automatically acoustic features for further analysis such as species identification based on classification of animal vocalizations. It can be subdivided into three main components:
- Read, extract data (not yet implemented), display, and write Zero-Crossing files.
- Stand-alone tools to convert MP3, WAV, and WAC files.
- Read, display, MP3, WAV or WAC files, filter, and extract automatically acoustic features.
System Requirements
This package requires the following system dependencies:
- C++11: A C++11 compatible compiler
- FFTW3: Fast Fourier Transform library (>= 3.3.1)
- GNU Make: Build automation tool
Installing
- Install stable version from CRAN:
install.packages("bioacoustics")
- Install development version from GitHub:
# install.packages("devtools")
devtools::install_github("wavx/bioacoustics", build_vignettes = TRUE)
System Dependencies Installation
Windows
Installing bioacoustics from source works under windows when Rtools is installed. This downloads the system requirements from rpkg-libs.
Linux
For Unix-alikes, FFTW (>= 3.3.1) is required.
Ubuntu/Debian:
sudo apt-get update
sudo apt-get install build-essential libfftw3-dev
CentOS/RHEL:
sudo yum install gcc-c++ fftw-devel
Fedora:
sudo dnf install gcc-c++ fftw-devel
macOS
# Using Homebrew
brew install fftw
# Using MacPorts
sudo port install fftw-3
Contributing
- Contributions are more than welcome, issues and pull requests are the preferred ways of sharing them.
Authors and contributors
Authors: Jean Marchal, Francois Fabianek, Christopher Scott
Contributors: Chris Corben, David Riggs, Peter Wilson
Licence
- GPLv3