ohun is intended to facilitate the automated detection of sound events, providing functions to diagnose and optimize detection routines. It provides utilities for comparing detection and annotations of audio events described by frequency and time boxes.

The main features of the package are:

• The use of reference annotations for detection diagnostic and optimization
• The use of signal detection theory indices to evaluate detection performance

The package offers functions for:

• Curate references and acoustic data sets
• Diagnose detection performance
• Optimize detection routines based on reference annotations
• Energy-based detection
• Template-based detection

All functions allow the parallelization of tasks, which distributes the tasks among several processors to improve computational efficiency. The package works on sound files in ‘.wav’, ‘.mp3’, ‘.flac’ and ‘.wac’ format.

Install/load the package from CRAN as follows:

# From CRAN would be
install.packages("ohun")

#load package
library(ohun)

To install the latest developmental version from github you will need the R package remotes:

remotes::install_github("maRce10/ohun")

#load package
library(ohun)

Take a look at the vignettes for an overview of the main features of the packages:

• Optimizing sound event detection
• Energy-based detection
• Template-based detection

Please cite ohun as follows:

Araya-Salas, M. (2022), ohun: diagnosing and optimizing automated sound event detection. R package version 0.1.1.