The YouTube Corpus of Singapore English Podcasts

PID

The YouTube Corpus of Singapore English Podcasts (YCSEP) contains transcripts from 620 hours of over 1,300 podcast episodes by Singapore-based content creators. The dataset, diarized into individual speaker turns, contains over 757,000 individual turns and 8.38 million word tokens. Created using a pipeline comprising yt-dlp, WhisperX, and pyannote.audio, it is intended to advance the study of the linguistic and discourse properties of Singapore English.

Identifier
PID http://hdl.handle.net/11372/LRT-5984
Related Identifier https://doi.org/10.1075/eww.25018.coa
Metadata Access http://lindat.mff.cuni.cz/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:lindat.mff.cuni.cz:11372/LRT-5984
Provenance
Creator Coats, Steven; Basile, Carmelo Alessandro; Morin, Cameron; Fuchs, Robert
Publisher University of Oulu
Publication Year 2025
Rights Creative Commons - Attribution-NonCommercial 4.0 International (CC BY-NC 4.0); http://creativecommons.org/licenses/by-nc/4.0/; PUB
OpenAccess true
Contact lindat-help(at)ufal.mff.cuni.cz
Representation
Language English
Resource Type corpus
Format text/plain; charset=utf-8; text/csv; downloadable_files_count: 1
Discipline Linguistics