Design and construction of 14 Arabic fricatives dataset, classification and characterization using CRNN, transformers, and H-CRNN-Reference-Cited by-同舟云学术

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Design and construction of 14 Arabic fricatives dataset, classification and characterization using CRNN, transformers, and H-CRNN

Published:2024-02-23 Issue:32 Volume:83 Page:77187-77217
ISSN:1573-7721
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Zitouni Aicha^ORCID,Falek Leila,Amrouche Aissa,Dahou Brahim,Abbas Mourad

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11042-024-18355-0.pdf

Reference55 articles.

1. Zhang B, Lee Sh (2020) Acoustic features of english fricatives produced by chinese efl learners at different english proficiency levels. J Stud in Lang 35(4):599–626

2. Zitouni A, Falek L, Abbas M, Lichouri M, Lounnas K (2020) Analysis of the influence of the arabic fricatives vocalic context on their spectral parameters. In: International conference on computing systems and applications. Springer, pp 255–264

3. Amrouche A, Abed A, Ferrat K, Boubakeur KN, Bentrcia Y, Falek L (2021) Balanced arabic corpus design for speech synthesis. Int J Speech Technol 24(3):747–759

4. Amrouche A, Bentrcia Y, Boubakeur KN, Abed A (2022) Dnn-based arabic speech synthesis. In: 2022 9th International conference on electrical and electronics engineering (ICEEE). IEEE, pp 378–382

5. Boubakeur K, Debyeche M, Amrouche A, Bentrcia Y (2022) Prosodic modelling based speaker identification. In: International conference on new technologies of information and communication (NTIC’22)

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