A Hierarchal Approach for Arabic Phonemes Classification
abdelazim, mona; Hussein, Wedad; Badr, Nagwa;
Abstract
Phonemes are defined as the smallest unit of sound that make a semantic change within language words. By capturing and recognizing the distinctive phonemes within the signal, we would be able to recognize the words uttered in the given sample. In this research, we present a new methodology for recognizing Arabic phonemes using a classification approach. The presented approach adopted a hierarchical based technique for Arabic phonemes classification. The results showed that the hierarchical based classification method has outperformed the traditional flat classification approaches.
Other data
| Title | A Hierarchal Approach for Arabic Phonemes Classification | Authors | abdelazim, mona ; Hussein, Wedad ; Badr, Nagwa | Keywords | Arabic phonemes;CNN;Hierarchical classification;Recurrent Neural Networks | Issue Date | 1-Jan-2021 | Journal | Proceedings 2021 IEEE 10th International Conference on Intelligent Computing and Information Systems Icicis 2021 | Conference | Proceedings 2021 IEEE 10th International Conference on Intelligent Computing and Information Systems Icicis 2021 | ISBN | [9781665440769] | DOI | 10.1109/ICICIS52592.2021.9694108 | Scopus ID | 2-s2.0-85127042374 |
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