AnglistikVoices: L2 English speech dataset

<h1><strong>AnglistikVoices: an L2 English speech dataset</strong>&nbsp;</h1> <p>This repository contains an L2 (second language) English speech corpus consisting of&nbsp;<strong>74 minutes</strong>&nbsp;of recorded audio from&nbsp;<strong>15 non-native English speaking participants</strong>.&nbsp;The dataset was created as part of a university course, with all participants being students who are also the authors of this dataset.</p> <h2>Dataset Specifications</h2> <ul> <li><strong>Total participants</strong>: 15 non-native English speakers</li> <li><strong>Total audio duration</strong>: 74 minutes</li> <li><strong>Recordings per participant</strong>: 60 audio samples each</li> <li><strong>Sentence alignment</strong>: Available for 8 out of 15 participant</li> <li><strong>Recording equipment</strong>: Audio-Technica ATM75 microphone</li> <li><strong>Stimuli:&nbsp;</strong>All sentences are from the Artie Bias Corpus (https://github.com/artie-inc/artie-bias-corpus)</li> <li><strong>Recording environment</strong>: Recording booth</li> </ul> <p>The dataset contains individual recordings of non-native English speakers&nbsp;<strong>organized by participant ID</strong>. For 8 participants, sentence-level alignments are provided. All recordings were captured in a controlled acoustic environment using Audio-Technica ATM75 microphone to ensure high audio quality.&nbsp;</p> <p>The recordings consist of spoken English utterances from each participant. <strong>Detailed linguistic profiles for each participant are available in the metadata.xlsx file</strong>, which is indexed by participant ID and contains information on native language, proficiency level, language learning history, and other relevant linguistic background data.</p> <p>The audio files are organized by participant ID, matching the identifiers used in the metadata file for easy cross-referencing between the audio recordings and participant linguistic profiles.</p> <h2>Authors and Contributors</h2> <p>This dataset was created by the student participants themselves as part of their coursework.</p> <p><strong>Course Instructor</strong>: Akhilesh Kakolu Ramarao</p> <p><strong>Teaching Assistant</strong>: Anna Sophia Stein</p> <p>If you have any questions, you can contact: kakolura@hhu.de</p> <p>If you use this dataset in your research, please cite:</p> <pre><code>@dataset{kakolu_ramarao_2024_anglistikvoices, author = {Kakolu Ramarao, A. and Stein, A. S. and Tahiri, A. and Rodrigues, D. C. and Antonia Weismann, C. and Sch&auml;fer, O. S. and Kaczor, J. and Tran, N. H. and Elena Telaar, C. and Bauer, L. and J&uuml;tten, M. and Mafuta, C. and Agelopoulou, V. V. and Grabowski, Q. A. G.}, title = {AnglistikVoices: L2 English speech dataset}, publisher = {Zenodo}, version = {v1.0.0}, year = {2024}, month = jun, doi = {10.5281/zenodo.12525952}, url = {https://doi.org/10.5281/zenodo.12525952}, note = {LabPhon 19, Hanyang Institute for Phonetics and Cognitive Sciences of Language (HIPCS), Hanyang University in Seoul, Korea} }</code></pre>