L2-ARCTIC: A Non-Native English Speech Corpus

Supplemental Files
Date
2018-01-01
Authors
Zhao, Guanlong
Chukharev-Hudilainen, Evgeny
Sonsaat, Sinem
Silpachai, Alif
Lucic, Ivana
Gutierrez-Osuna, Ricardo
Levis, John
Major Professor
Advisor
Committee Member
Journal Title
Journal ISSN
Volume Title
Publisher
Altmetrics
Research Projects
Organizational Units
English
Organizational Unit
Journal Issue
Series
Department
English
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/.

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.

Description
Keywords
Citation
DOI
Source
Collections