📊 Example Datasets

A collection of 61 polar questions in Persian, extracted from 1 hour of recordings of online gaming. Questions are annotated along five dimensions (Function, Intonation, Focus, Word order, Surprisal), presented with four levels of textual information (transcript, transliteration, translation, gloss), and enriched with three types of media content (video link, audio file, periogram image). Users are invited to familiarize themselves with the sound of real-life Persian intonation.

A collection of 1181 backchannel signals in Italian, extracted from a corpus of unscripted dyadic conversations. Backchannels are annotated along four dimensions (Function, Content, Distribution, Form) and presented with four levels of textual information (repetition, words, syllables, duration). Users are invited to use the Sidebar and Visualization options to focus on a subset of the collection and to modify the appearance of the plot.

A collection of vocalizations, calls and other sounds produced by 15 animals. Users are invited to listen to the sounds and drag the datapoints across the plot to categorize the sounds based on Danger (the average level of threat that the animal poses to humans) and Class (whether the animal is best described as bird, mammal or reptile). Users can code their Confidence level using colors.

!Spoiler alert! A possible solution for the AnimalVoices workbench, with names and images for each animal. Do not open before working on the AnimalVoices example!

A demo dataset.

Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION. The dataset shows correct lexical identification scores (white: higher, black: lower) for sentences presented in two languages (rows) and in four noise conditions (columns) to Japanese listeners with varying levels of English proficiency.

Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION. The dataset shows fortis/lenis minimal pairs recorded by a native Zapotec speaker, across multiple places of articulation, manners of articulation, and positions within the word. Minimal pairs are color-coded to facilitate recognition of semi-minimal pairs.

Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION. The dataset shows orthographic transcriptions and syntactic and pragmatic annotations for wh-in-situ and clefted wh-interrogatives extracted from the KIParla corpus. Since audio recordings are not directly available, enriched periograms are provided instead (currently for Rhetorical questions only).

Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION.

Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION. The dataset shows video files with an expert uttering each of the 18 cardinal vowels of the International Phonetic Alphabet. To facilitate learning, vowel symbols are only visible once the user clicks on the data point.

Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION. The dataset shows transcripts and durations of intonation phrases uttered by an interviewer and two Jejuan speakers, further categorized by discourse function.

Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION. The dataset includes audio files of The north wind and the sun read by speakers with different backgrounds. For each datapoint, users should left-click and listen, drag to the appropriate cell, right-click and choose the appropriate color. Then export the modified CSV file and share with the instructor.

! SPOILER ! Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION. ! SPOILER ! Solutions for the Accent recognition training dataset.

Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION. The dataset shows the outcome of exposure to video media in two varieties of English on flapping and rhoticity in advanced learners. Use the sidebar to control the visualized dimensions.

Supplementary material for the submission USING PLEW FOR PHONETIC RESEARCH AND EDUCATION. The dataset shows feedback markers from French conversations annotated for Modality (audible, visible, bimodal), Type (affiliation, alignment), Form (generic, specific, mix) and Value (positive, negative). All items include orthographic transcription where applicable; those represented with a triangle include a video recording.