Construction of audio corpus of non-native English dialects -Arabs speakers
Author | Chellali S. |
Author | Al-Maadeed, Somaya |
Author | Asim M. |
Author | Ahfir M. |
Author | Hidouci W.K. |
Available date | 2022-05-19T10:23:12Z |
Publication Date | 2017 |
Publication Name | 4th International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2017 |
Resource | Scopus |
Identifier | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85060690805&partnerID=40&md5=60e8a0153f727e524981afadf8c5be6a |
Abstract | Speech 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. |
Sponsor | This 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. |
Language | en |
Publisher | European Association of Geoscientists and Engineers, EAGE |
Subject | Artificial intelligence Database systems Arab speakers Automatic systems Foreign language Learning English Non-native speakers Nonnative english dialect Sound database Target language Speech recognition |
Type | Conference Paper |
Pagination | 98-102 |
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