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المؤلفChellali S.
المؤلفAl-Maadeed, Somaya
المؤلفAsim M.
المؤلفAhfir M.
المؤلفHidouci W.K.
تاريخ الإتاحة2022-05-19T10:23:12Z
تاريخ النشر2017
اسم المنشور4th International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2017
المصدرScopus
المعرّفhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060690805&partnerID=40&md5=60e8a0153f727e524981afadf8c5be6a
معرّف المصادر الموحدhttp://hdl.handle.net/10576/31137
الملخصSpeech 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.
راعي المشروعThis 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.
اللغةen
الناشرEuropean Association of Geoscientists and Engineers, EAGE
الموضوعArtificial intelligence
Database systems
Arab speakers
Automatic systems
Foreign language
Learning English
Non-native speakers
Nonnative english dialect
Sound database
Target language
Speech recognition
العنوانConstruction of audio corpus of non-native English dialects -Arabs speakers
النوعConference Paper
الصفحات98-102
dc.accessType Abstract Only


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