CRAN/E | soundClass

soundClass

Sound Classification Using Convolutional Neural Networks

Installation

About

Provides an all-in-one solution for automatic classification of sound events using convolutional neural networks (CNN). The main purpose is to provide a sound classification workflow, from annotating sound events in recordings to training and automating model usage in real-life situations. Using the package requires a pre-compiled collection of recordings with sound events of interest and it can be employed for: 1) Annotation: create a database of annotated recordings, 2) Training: prepare train data from annotated recordings and fit CNN models, 3) Classification: automate the use of the fitted model for classifying new recordings. By using automatic feature selection and a user-friendly GUI for managing data and training/deploying models, this package is intended to be used by a broad audience as it does not require specific expertise in statistics, programming or sound analysis. Please refer to the vignette for further information. Gibb, R., et al. (2019) doi:10.1111/2041-210X.13101 Mac Aodha, O., et al. (2018) doi:10.1371/journal.pcbi.1005995 Stowell, D., et al. (2019) doi:10.1111/2041-210X.13103 LeCun, Y., et al. (2012) doi:10.1007/978-3-642-35289-8_3.

Bug report File report

Key Metrics

Version 0.0.9.2
Published 2022-05-29 864 days ago
Needs compilation? no
License GPL-3
CRAN checks soundClass results

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Maintainer

Maintainer

Bruno Silva

Authors

Bruno Silva

aut / cre

Material

README
NEWS
Reference manual
Package source

Vignettes

example

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

soundClass archive

Depends

shinyBS
htmltools

Imports

seewave
DBI
dplyr
dbplyr
RSQLite
signal
tuneR
zoo
magrittr
shinyFiles
shiny
utils
graphics
generics
keras
shinyjs

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