R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
soundClass
View on CRAN: Click
here
Download and install soundClass package within the R console
Install from CRAN:
install.packages("soundClass")
Install from Github:
library("remotes")
install_github("cran/soundClass")
Install by package version:
library("remotes")
install_version("soundClass", "0.0.9.2")
Attach the package and use:
library("soundClass")
Maintained by
Bruno Silva
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-04
Latest Update: 2022-05-29
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 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>.
How to cite:
Bruno Silva (2022). soundClass: Sound Classification Using Convolutional Neural Networks. R package version 0.0.9.2, https://cran.r-project.org/web/packages/soundClass
Other packages that cited soundClass R package
View soundClass citation profile
Other R packages that soundClass depends,
imports, suggests or enhances
Functions, R codes and Examples using
the soundClass R package
Some associated functions: app_label . app_model . auto_id . butter_filter . create_db . find_noise . import_audio . ms2samples . pipe . spectro_calls . train_metadata .
Some associated R codes: add_record.R . app_label.R . app_model.R . auto_id.R . butter_filter.R . classify_calls.R . create_db.R . data_keras.R . denoise.R . find_noise.R . get_mode.R . import_audio.R . is_even.R . is_rc.R . load2env.R . ms2samples.R . peaks.R . peaks2spec.R . r.R . r_cw.R . save_output.R . spectro_calls.R . spectrogram.R . tidy_output.R . train_metadata.R . utils_pipe.R . Full soundClass package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by
helping add
Reviews / comments / questions /suggestions ↴↴↴
Today's Hot Picks in Authors and Packages
steepness
The steepness package computes steepness as a property of dominance hierarchies. Steepness is define ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Leiva (view profile)
critpath
Solving the problem of project management using CPM (Critical Path Method), PERT (Program Evaluation ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Adam Kucharski (view profile)
ftaproxim
Calculation and plotting of instantaneous unavailabilities of basic events along with the top event ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hossein Haghbin (view profile)
mistral
Various reliability analysis methods for rare event inference (computing failure probability and qua ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Bertrand Iooss (view profile)
quickcode
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
rdbnomics
R access to hundreds of millions data series from DBnomics API
(). ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Sebastien Galais (view profile)
22,114
R Packages
188,080
Dependencies
55,244
Author Associations
22,115
Publication Badges
© Copyright 2022 - present. All right reserved, rpkg.net. Contact Us / Suggestions / Concerns