Visible Consonants is a web app for the analysis of acoustic consonant measurements. The app is an useful instrument for research in phonetics, sociolinguistics, dialectology, forensic linguistics, and speech-language pathology. The following people were involved in the development of Visible Consonants: Wilbert Heeringa (implementation), Hans Van de Velde (project manager), Vincent van Heuven (advice). Visible Consonants is still under development. Comments are welcome and can be sent to .
Visible Consonants runs best on a computer with a monitor with a minimum resolution of 1370 x 870 (width x height). The use of Mozilla Firefox as a web browser is to be preferred.
The input file should be a spreadsheet that is created in Excel or LibreOffice. It should be saved as an Excel 2007/2010/2013 XML file, i.e. with extension '.xlsx'. The spreadsheet should include the following variables (shown in red):
Contains the speaker labels. This column is obligatory.
Contains the consonant labels. Multiple pronunciations of the same consonant per speaker are possible. In case you want to use IPA characters, enter them as Unicode characters. In order to find Unicode IPA characters, use the online IPA Chart Keyboard of Weston Ruter. This column is obligatory.
Indicates the context in which a consonant appears. Should be VC, VCV or CV. This column is obligatory.
An arbitrary number of columns representing categorical variables such as location, language, gender, age group, etc. may follow, but is not obligatory. See to it that each categorical variable has an unique set of different values. Prevent the use of numbers, rather use meaningful codes. For example, rather then using codes '1' and '2' for a variable 'age group' use 'old' and 'young' or 'o' and 'y'.
Durations of the consonants. The measurements may be either in seconds or milliseconds. This column is obligatory.
Any number of numerical variables such as amplitude, intensity, etc.
A set of variables that occurs multiple times. The variable 'time' gives the time point within the consonant interval in seconds or milliseconds, i.e. it is assumed that the consonant interval starts at 0 (milli)seconds. The variables should be measured at the time given in the column 'time'. The program assumes that spectral variables, if any, are measured in Hertz and not normalized. A set may be repeated as many times as the user wishes, but should occur at least two times. For each repetition the same column names should be used.
In order to visualize formant transitions of vowels preceding a consonant, the following variables should be added:
The label of the vowel that precedes the consonant. In case you want to use IPA characters, enter them as Unicode characters. This column is obligatory.
The measurements may be either in seconds or milliseconds. This column is obligatory but may be kept empty.
Any number of numerical variables. They should be given for the consonant as well.
A set of five columns should follow multiple times: '<time', '<f0', '<F1', '<F2' and '<F3'. The variable '<time' gives the time point within the vowel interval in seconds or milliseconds, i.e. it is assumed that the vowel interval starts at 0 (milli)seconds. The f0, F1, F2 and F3 should be measured at the time given in the column '<time'. The program assumes that they are measured in Hertz and not normalized. The set of five columns may be repeated as list(name = "em", attribs = list(), children = list("many times")) as the user wishes, but should occur at least two times. For each repetition the same column names should be used. A set should always include all five columns, but the columns '<f0' and '<F3' may be kept empty.
In order to visualize formant transitions of vowels following a consonant, the following variables should be added:
The label of the vowel that precedes the consonant. In case you want to use IPA characters, enter them as Unicode characters. This column is obligatory.
The measurements may be either in seconds or milliseconds. This column is obligatory but may be kept empty.
Any number of numerical variables. They should be given for the consonant as well.
A set of five columns should follow multiple times: '>time', '>f0', '>F1', '>F2' and '>F3'. The variable '>time' gives the time point within the vowel interval in seconds or milliseconds, i.e. it is assumed that the vowel interval starts at 0 (milli)seconds. The f0, F1, F2 and F3 should be measured at the time given in the column '>time'. The program assumes that they are measured in Hertz and not normalized. The set of five columns may be repeated as list(name = "em", attribs = list(), children = list("many times")) as the user wishes, but should occur at least two times. For each repetition the same column names should be used. A set should always include all five columns, but the columns '>f0' and '>F3' may be kept empty.
The structure of the input file can be visualized schematically as follows:
Graphs can be saved in six formats: JPG, PNG, SVG, EPS, PDF and TEX. TEX files are created with TikZ. When using this format, it is assumed that XeLaTeX is installed. Generating a TikZ may take a long time. When including a TikZ file in a LaTeX document, you need to use a font that supports the IPA Unicode characters, for example: 'Doulos SIL', 'Charis SIL' or 'Linux Libertine O'. You also need to adjust the left margin and the scaling of the graph. The LaTeX document should be compiled with
xelatex
. Example of a LaTeX file in which a TikZ file is included:
\documentclass{minimal}
\usepackage{tikz}
\usepackage{fontspec}
\setmainfont{Linux Libertine O}
\begin{document}
{\hspace*{-3cm}\scalebox{0.8}{\input{formantPlot.TEX}}}
\end{document}
This program is implemented as a Shiny app. Shiny was developed by RStudio. This app uses the following R packages:
R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Winston Chang, Joe Cheng, J.J. Allaire, Yihui Xie and Jonathan McPherson (2017). shiny: Web Application Framework for R. R package version 1.0.0. https://CRAN.R-project.org/package=shiny
Eric Bailey (2015). shinyBS: Twitter Bootstrap Components for Shiny. R package version 0.61. https://CRAN.R-project.org/package=shinyBS
Ananda Mahto (2019). splitstackshape: Stack and Reshape Datasets After Splitting Concatenated Values. R package version 1.4.8. https://CRAN.R-project.org/package=splitstackshape
R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Hadley Wickham and Lionel Henry (2019). tidyr: Tidy Messy Data. R package version 1.0.0. https://CRAN.R-project.org/package=tidyr
Jon T. Schnute, Nicholas Boers and Rowan Haigh (2019). PBSmapping: Mapping Fisheries Data and Spatial Analysis Tools. R package version 2.72.1. https://CRAN.R-project.org/package=PBSmapping
Kun Ren and Kenton Russell (2016). formattable: Create 'Formattable' Data Structures. R package version 0.2.0.1. https://CRAN.R-project.org/package=formattable
H. Wickham (2009). ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. http://ggplot2.org
Kamil Slowikowski (2017). ggrepel: Repulsive Text and Label Geoms for 'ggplot2'. R package version 0.7.0. https://CRAN.R-project.org/package=ggrepel
Hadley Wickham and Jennifer Bryan (2017). readxl: Read Excel Files. R package version 1.0.0. https://CRAN.R-project.org/package=readxl
Marc Schwartz and various authors. (2015). WriteXLS: Cross-Platform Perl Based R Function to Create Excel 2003 (XLS) and Excel 2007 (XLSX) Files. R package version 4.0.0. https://CRAN.R-project.org/package=WriteXLS
Yihui Xie (2016). DT: A Wrapper of the JavaScript Library 'DataTables'. R package version 0.2. https://CRAN.R-project.org/package=DT
W. Revelle (2016). psych: Procedures for Personality and Psychological Research, Northwestern University, Evanston, Illinois, USA, Version = 1.6.12, https://CRAN.R-project.org/package=psych
Hans Werner Borchers (2017). pracma: Practical Numerical Math Functions. R package version 1.9.9. https://CRAN.R-project.org/package=pracma
Hadley Wickham (2011). The Split-Apply-Combine Strategy for Data Analysis. Journal of Statistical Software, 40(1), 1-29. URL http://www.jstatsoft.org/v40/i01/
R Core Team (2017). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org/
Hadley Wickham, Lionel Henry, T Jake Luciani, Matthieu Decorde and Vaudor Lise (2016). svglite: An 'SVG' Graphics Device. R package version 1.2.0. https://CRAN.R-project.org/package=svglite
Simon Urbanek and Jeffrey Horner (2015). Cairo: R graphics device using cairo graphics library for creating high-quality bitmap (PNG, JPEG, TIFF), vector (PDF, SVG, PostScript) and display (X11 and Win32) output. R package version 1.5-9. https://CRAN.R-project.org/package=Cairo
Charlie Sharpsteen and Cameron Bracken (2020). tikzDevice: R Graphics Output in LaTeX Format. R package version 0.12.3.1. https://CRAN.R-project.org/package=tikzDevice
Fanny Meyer and Victor Perrier (2020). shinybusy: Busy Indicator for 'Shiny' Applications. R package version 0.2.2. https://CRAN.R-project.org/package=shinybusy
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