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 |
| DOI: | https://doi.org/10.35111/p79q-a948 |
| 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. |
Introduction
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.
Data
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.
Samples
Please view the following:
Updates
None at this time.