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This site was created to allow you to interact with data extracted from the Digital Archive of Southern Speech. Please report bugs, suggestions, or comments to Joey Stanley at joeystan uga.

It contains speech from 64 natives 34 men and 30 women, born — of 8 Southern US states. This sample contains a mixture of ethnicities, social classes, education levels, and ages.

As of Octobertranscription, forced alignment, and acoustic analysis of DASS has been completed. For insight into the methods, see Renwick et al.

We have removed all filters from FAVE so that all vowel tokens, whether they be from unstressed syllables or stopwords, are included here.

Currently, this site displays 1, vowel tokens from 63 speakers. The corpus can be licensed from the Linguistic Data Consortium, while the Linguistic Atlas Project hosts it via mp3s, speaker biographies, and more.

New content is being added regularly, so check back for additional features. See the bottom of this page for updates on recent changes.

This site is built in Shiny, a web application framework for R. With Shiny, users can utilize the computational power of the R programming language without having to learn R or install it to their computers.

This is all bundled up and put on the web to allow for the interactive capabilities of web browsers. See the bottom of this page for a list of specific packages that are used to process this data and create this site.

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Renwick, of the University of Georgia. If you use or refer to this website, you must cite the Gazetteer of Southern Vowels as follows:.

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The following is an ongoing list of research that is directly related to DASS or utilizes its data. Toggle Help.

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Toggle navigation GSV. Gazetteer of Southern Vowels This site was created to allow you to interact with data extracted from the Digital Archive of Southern Speech.

Where do the data come from?

What does this site do? Currently, the site has four main pages: Vowel Plot Comparison: On this page, you can subset the DASS data by many demographic attributes and view the corresponding speakers’ vowel tokens plotted in F1, F2 space.

You can also subset by stress, vowel, word, and following consonant and choose what normalization technique if anyfiltering, and transcription system should be used.

The plots are extremely customizable and you can change how the data is displayed. Two graphs are included on this page to—given a large enough screen size—facilitate side-by-side comparison of subgroups.

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Below each graph are tables that give basic summaries of the speakers and the vowels selected. Interactive Vowel Plot: Here you can focus on specific portions of individual speakers’ vowel space and see words rather than just points.

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If you click on the plot itself, a table at the top will display the five points nearest to where you clicked, showing you exact formant measurements, the word, and the speaker associated with that observation.

Point Pattern Analysis: This is an alternative way of viewing the vowel space, pioneered by Kretzschmar. On this page, you can again subset the data the same as on the other two pages and see a scatterplot in F1, F2 space.

The underlaid grid indicates how many observations lie in each cell, with the number of rows and columns in the grid controllable by the user.

Below the plot is a chart of the distribution of the grids, plotted in decreasing order of density.

The resulting chart follows an Asymptotic Curve or simply, “A-Curve”. The map has some flexibility as to how various demographic categories are displayed.

How is this site powered? How is this project funded? Who is involved? Contact information For more information, please contact Joey Stanley at joeystan uga.

How can I cite this resource?

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Renwick, William A. Kretzschmar Jr. Salt Lake City, UT. Bibliography The following is an ongoing list of research that is directly related to DASS or utilizes its data.

Publications alphabetical Kretzschmar, William A. Olsen, Rachel M.

Renwick Stanley, Margaret E. Kreztschmar, Jr. Pederson, L. Renwick, Margaret E.

Olsen Stanley Conference Presentations chronological Stanley, Joseph A. New Orleans, LA. Kretzschmar, William A. Renwick, Joseph A. New York City, NY.

Olsen, Rachel Miller Athens, GA. Stanley, Joseph A. Utrecht, the Netherlands. Louisville, KY. Olsen, Rachel, Joseph A. Blacksburg, VA.

Foster, Shawn, Joseph A. Charleston, SC. Madison, WI. Boston, MA.

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Kretzschmar, Jr. R Packages Eric Bailey R package version 0. Original S code by Richard A. Becker, Allan R. R version by Ray Brownrigg. R package version 3.

R package version 1. See also shiny. Springer-Verlag New York.

R package version 2. See also ggplot2. See also stringr. See also dplyr.

See also readr. Achim Zeileis Change Log Version 1.

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Some minor textual changes have been made to this page to reflect the completed work, including a link to the DASS portion of the Linguistic Atlas website where you can download audio and transcriptions.

You can read more about them, and toggle between them using the new “corpus” tab. Minor textual changes and bug fixes. Version 1.

We’ve completely revamped the methodology so produce what we hope to be a cleaner dataset. The transcriptions have been spell-checked, we’re using the Montreal Forced Aligner for forced alginment, and an in-house version of FAVE for formant extraction.

This brings the total number of observations from aboutto over 1, We will soon have a complete version of this modified dataset online.

On the Point Pattern Analysis page, you have much more control over the shading of the cells.

They are now now discrete by default to make it easier to see the differences but you can change it to continuous or to no color. The number of discrete shades is 4 by default the data appears to follow a rulebut you can change that.

And you can now set the color of the darkest shade; when you do, the other shades will be interpolated.