Campus Units
English
Document Type
Article
Publication Version
Published Version
Publication Date
2018
Journal or Book Title
Perception Sensing Instrumentation Lab
Abstract
In this paper, we introduce L2-ARCTIC, a speech corpus of non-native English that is intended for research in voice conversion, accent conversion, and mispronunciation detection. This initial release includes recordings from ten non-native speakers of English whose first languages (L1s) are Hindi, Korean, Mandarin, Spanish, and Arabic, each L1 containing recordings from one male and one female speaker. Each speaker recorded approximately one hour of read speech from the Carnegie Mellon University ARCTIC prompts, from which we generated orthographic and forced-aligned phonetic transcriptions. In addition, we manually annotated 150 utterances per speaker to identify three types of mispronunciation errors: substitutions, deletions, and additions, making it a valuable resource not only for research in voice conversion and accent conversion but also in computer-assisted pronunciation training. The corpus is publicly accessible at https://psi.engr.tamu.edu/l2-arctic-corpus/.
Copyright Owner
A & M University
Copyright Date
2018
Language
en
File Format
application/pdf
Recommended Citation
Zhao, Guanlong; Sonsaat, Sinem; Silpachai, Alif O.; Lucic, Ivana; Chukharev-Khudilaynen, Evgeny; Levis, John; and Gutierrez-Osuna, Ricardo, "L2-ARCTIC: A Non-Native English Speech Corpus" (2018). English Publications. 226.
https://lib.dr.iastate.edu/engl_pubs/226
Included in
Bilingual, Multilingual, and Multicultural Education Commons, International and Comparative Education Commons, Reading and Language Commons, Vocational Education Commons
Comments
This article is published as Zhao, G., Sonsaat, S., Silpachai,A., Lucic, I., Chukharev-Hudilainen, E., Levis, J., Gutierrez-Osuna, R., L2-ARCTIC: A Non-Native English Speech Corpus. Perception Sensing Instrumentation Lab. 2018. Posted with permission.