Title: Construction of Audio Corpus of Non-Native English Dialects -Arabs speakers-

Year of Publication: Sep - 2017
Page Numbers: 98-102
Authors: Sara Chellali, Soumaya Al-Maadeed, Muhammad Asim, Maamar Ahfir, Khald Walid Hidouci
Conference Name: The Fourth International Conference on Artificial Intelligence and Pattern Recognition (AIPR2017)
- Poland

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.