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AcousticNDLCodeR
View on CRAN: Click
here
Download and install AcousticNDLCodeR package within the R console
Install from CRAN:
install.packages("AcousticNDLCodeR")
Install from Github:
library("remotes")
install_github("cran/AcousticNDLCodeR")
Install by package version:
library("remotes")
install_version("AcousticNDLCodeR", "1.0.2")
Attach the package and use:
library("AcousticNDLCodeR")
Maintained by
Denis Arnold
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2017-03-17
Latest Update: 2018-07-06
Description:
Make acoustic cues to use with the R packages 'ndl' or 'ndl2'. The package implements functions used
in the PLoS ONE paper:
Denis Arnold, Fabian Tomaschek, Konstantin Sering, Florence Lopez, and R. Harald Baayen (2017).
Words from spontaneous conversational speech can be recognized with human-like accuracy by
an error-driven learning algorithm that discriminates between meanings straight from smart
acoustic features, bypassing the phoneme as recognition unit. PLoS ONE 12(4):e0174623
More details can be found in the paper and the supplement.
'ndl' is available on CRAN. 'ndl2' is available by request from .
How to cite:
Denis Arnold (2017). AcousticNDLCodeR: Coding Sound Files for Use with NDL. R package version 1.0.2, https://cran.r-project.org/web/packages/AcousticNDLCodeR. Accessed 05 Apr. 2025.
Previous versions and publish date:
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Other R packages that AcousticNDLCodeR depends,
imports, suggests or enhances
Complete documentation for AcousticNDLCodeR
Functions, R codes and Examples using
the AcousticNDLCodeR R package
Some associated functions: AcousticNDLCodeR . CODE . CorpusCoder . getBoundary . makeCues . readESPSAnnotation . readTextGridFast . readTextGridRobust . readWavesurfer . word_classification_data .
Some associated R codes: AcousticNDLCodeR_package.R . CorpusCoder.R . makeCues.R . readAnnotation.R . word_classification_data.R . Full AcousticNDLCodeR package functions and examples
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