Second Language University Speech Intelligibility Corpus

Item Name: Second Language University Speech Intelligibility Corpus
Author(s): Okim Kang, Kevin Hirschi, Stephen D. Looney, John H. L. Hansen
LDC Catalog No.: LDC2024S02
ISLRN: 977-534-090-899-1
Release Date: February 15, 2024
Member Year(s): 2024
DCMI Type(s): Sound, Text
Sample Type: pcm
Sample Rate: 16000
Data Source(s): microphone speech
Application(s): speaker identification, speaker verification, speech recognition
Language(s): English
Language ID(s): eng
License(s): Second Language University Speech Intelligibility Corpus Agreement
Online Documentation: LDC2024S02 Documents
Licensing Instructions: Subscription & Standard Members, and Non-Members
Citation: Kang, Okim, et al. Second Language University Speech Intelligibility Corpus LDC2024S02. Web Download. Philadelphia: Linguistic Data Consortium, 2024.


Second Language University Speech Intelligibility Corpus was developed by Northern Arizona University, The Pennsylvania State University, and The University of Texas at Dallas. It contains 10.5 hours of English speech by 66 international faculty and university students from 15 language backgrounds at 10 North American universities. The corpus also includes orthographic transcriptions for all recordings and intelligibility scores for 73% of the files.


Speech data was collected between 2021 and 2022 at home and in classrooms. They contain speakers’ presentations, descriptions, reflections, and microteaching tasks. Speakers were recruited from courses at intensive English programs and oral skills courses for international graduate students seeking to become international teaching assistants. Metadata includes speaker gender, first language and recording description.

The audio data is presented as flac compressed, one or two channel, 16 kHz, 16-bit linear PCM. Transcripts are UTF-8 encoded plain text. 

Aligned Praat Textgrids with word-level segmentation and pauses greater than 0.4 seconds are also included.


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