Package: soundClass
Title: Sound Classification Using Convolutional Neural Networks
Version: 0.0.9.3
Author: Bruno Silva [aut, cre]
Maintainer: Bruno Silva <bmsasilva@gmail.com>
Description: 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 training 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>.
License: GPL-3
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.1.2
BugReports: https://github.com/bmsasilva/soundClass/issues
Imports: seewave, DBI, dplyr, dbplyr, RSQLite, signal, tuneR, zoo,
        magrittr, shinyFiles, shiny, utils, graphics, generics, keras,
        shinyjs
Depends: shinyBS, htmltools
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Config/pak/sysreqs: cmake make libicu-dev libpng-dev libsndfile1-dev
        libuv1-dev python3 zlib1g-dev
Repository: https://bmsasilva.r-universe.dev
Date/Publication: 2022-12-15 10:01:18 UTC
RemoteUrl: https://github.com/bmsasilva/soundclass
RemoteRef: HEAD
RemoteSha: 7990081b6f4a268ba891ace82e18fe26001021ff
NeedsCompilation: no
Packaged: 2026-10-14 09:55:34 UTC; root