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AuthorChellali S.
AuthorAl-Maadeed, Somaya
AuthorAsim M.
AuthorAhfir M.
AuthorHidouci W.K.
Available date2022-05-19T10:23:12Z
Publication Date2017
Publication Name4th International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2017
ResourceScopus
Identifierhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060690805&partnerID=40&md5=60e8a0153f727e524981afadf8c5be6a
URIhttp://hdl.handle.net/10576/31137
AbstractSpeech recognition for the academic and standard languages has achieved a great development, but in the face of the multiple dialects with their differences, there is still a noticeable lack of recognition rates, especially if these dialects are for non-native speakers of the target language. The challenges facing the recognition or the identification of non-native dialects are numerous, among them the lack of sound databases, whether approved or not. This article presents part of our work on creating a sound database of non-native English dialects for Arabs speakers. This database will be used later by our Automatic System to Help Learning English as Foreign Language (ASHLEFL). It contains initially three non-native English dialects respectively Qataris, Egyptians, and Pakistanis speakers.
SponsorThis paper was made possible by a QUCP award QUCP-CENG-CSE-15-16-1] from the Qatar University. The statements made herein are solely the responsibility of the authors.
Languageen
PublisherEuropean Association of Geoscientists and Engineers, EAGE
SubjectArtificial intelligence
Database systems
Arab speakers
Automatic systems
Foreign language
Learning English
Non-native speakers
Nonnative english dialect
Sound database
Target language
Speech recognition
TitleConstruction of audio corpus of non-native English dialects -Arabs speakers
TypeConference Paper
Pagination98-102
dc.accessType Abstract Only


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