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Ali H. Meftah
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- affiliation: King Saud University, College of Computer and Information Sciences, Riyadh, Saudi Arabia
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Journal Articles
- 2024
- [j11]Ali H. Meftah
, Yousef Ajami Alotaibi
, Sid-Ahmed Selouani:
Scalability and diversity of StarGANv2-VC in Arabic emotional voice conversion: Overcoming data limitations and enhancing performance. J. King Saud Univ. Comput. Inf. Sci. 36(6): 102091 (2024) - 2023
- [j10]Ali Hamid Meftah
, Adal A. Alashban
, Yousef Ajami Alotaibi
, Sid-Ahmed Selouani
:
English Emotional Voice Conversion Using StarGAN Model. IEEE Access 11: 67835-67849 (2023) - 2021
- [j9]Ali Hamid Meftah
, Mustafa A. Qamhan
, Yasser Mohammad Seddiq, Yousef Ajami Alotaibi
, Sid-Ahmed Selouani
:
King Saud University Emotions Corpus: Construction, Analysis, Evaluation, and Comparison. IEEE Access 9: 54201-54219 (2021) - [j8]Mustafa A. Qamhan
, Hamdi Altaheri
, Ali Hamid Meftah
, Ghulam Muhammad
, Yousef Ajami Alotaibi
:
Digital Audio Forensics: Microphone and Environment Classification Using Deep Learning. IEEE Access 9: 62719-62733 (2021) - [j7]Mustafa A. Qamhan
, Yousef Ajami Alotaibi
, Yasser Mohammad Seddiq
, Ali Hamid Meftah
, Sid-Ahmed Selouani
:
Sequence-to-Sequence Acoustic-to-Phonetic Conversion Using Spectrograms and Deep Learning. IEEE Access 9: 80209-80220 (2021) - 2020
- [j6]Ali Hamid Meftah
, Hassan Mathkour, Said Kerrache, Yousef Ajami Alotaibi
:
Speaker Identification in Different Emotional States in Arabic and English. IEEE Access 8: 60070-60083 (2020) - [j5]Ahmed B. Ibrahim
, Yasser Mohammad Seddiq
, Ali Hamid Meftah
, Mansour Al-Ghamdi, Sid-Ahmed Selouani
, Mustafa A. Qamhan, Yousef Ajami Alotaibi
, Saleh A. Alshebeili
:
Optimizing Arabic Speech Distinctive Phonetic Features and Phoneme Recognition Using Genetic Algorithm. IEEE Access 8: 200395-200411 (2020) - 2019
- [j4]Yasser Mohammad Seddiq
, Yousef Ajami Alotaibi
, Sid-Ahmed Selouani, Ali Hamid Meftah
:
Distinctive Phonetic Features Modeling and Extraction Using Deep Neural Networks. IEEE Access 7: 81382-81396 (2019) - 2018
- [j3]Ali Hamid Meftah
, Yousef Ajami Alotaibi
, Sid-Ahmed Selouani:
Evaluation of an Arabic Speech Corpus of Emotions: A Perceptual and Statistical Analysis. IEEE Access 6: 72845-72861 (2018) - [j2]Yasser Mohammad Seddiq
, Yousef Alotaibi
, Ali H. Meftah, Sid-Ahmed Selouani, Mansour Al-Ghamdi:
Revisiting distinctive phonetic features from applied computing perspective: unifying views and analyzing modern Arabic speech varieties. Int. J. Speech Technol. 21(4): 907-913 (2018) - [j1]Yasser Mohammad Seddiq
, Yousef Alotaibi
, Ali H. Meftah, Sid-Ahmed Selouani, Mansour Al-Ghamdi:
Correction to: Revisiting distinctive phonetic features from applied computing perspective: unifying views and analyzing modern Arabic speech varieties. Int. J. Speech Technol. 21(4): 1005 (2018)
Conference and Workshop Papers
- 2020
- [c16]Mustafa A. Qamhan, Ali H. Meftah, Sid-Ahmed Selouani, Yousef Ajami Alotaibi
, Mohammed Zakariah, Yasser Mohammad Seddiq:
Speech Emotion Recognition using Convolutional Recurrent Neural Networks and Spectrograms. CCECE 2020: 1-5 - [c15]Ali H. Meftah, Hassan Mathkour, Mustafa A. Qamhan, Yousef Alotaibi
:
Speaker Identification in Different Emotional States. CSNDSP 2020: 1-5 - 2017
- [c14]Ali H. Meftah, Yousef Alotaibi
, Sid-Ahmed Selouani:
Investigating Arabic Speakers' Emotions Using Speech Rhythm Metrics. EMS 2017: 73-77 - [c13]Ali H. Meftah, Yasser Mohammad Seddiq, Yousef Alotaibi
, Sid-Ahmed Selouani:
Building a Rich Arabic Speech and Language Corpus Based on the Holy Quran. ICALP 2017: 90-101 - [c12]Ali H. Meftah, Yasser Mohammad Seddiq, Yousef Alotaibi
, Sid-Ahmed Selouani:
Cross-corpus Arabic and English emotion recognition. ISSPIT 2017: 377-381 - [c11]Yousef Alotaibi
, Yasser Mohammad Seddiq, Ali H. Meftah, Sid-Ahmed Selouani, Mohammed Sidi Yakoub:
A new look at the automatic mapping between Arabic distinctive phonetic features and acoustic cues. TSP 2017: 368-371 - 2016
- [c10]Ali H. Meftah, Yousef Ajami Alotaibi
, Sid-Ahmed Selouani:
A Comparative Study of Different Speech Features for Arabic Phonemes Classification. EMS 2016: 47-52 - [c9]Yasser Mohammad Seddiq, Ali H. Meftah, Mansour M. Alghamdi, Yousef Alotaibi
:
Reintroducing KAPD as a Dataset for Machine Learning and Data Mining Applications. EMS 2016: 70-74 - [c8]Yousef Alotaibi
, Ali H. Meftah, Sid-Ahmed Selouani:
Classical Arabic phoneme contextual analysis using HMM classifiers. ISSPIT 2016: 11-15 - [c7]Yousef Ajami Alotaibi
, Mohammed Sidi Yakoub, Ali H. Meftah, Sid-Ahmed Selouani:
Duration modeling in automatic recited speech recognition. TSP 2016: 323-326 - 2015
- [c6]Ali H. Meftah, Yousef Ajami Alotaibi
, Sid-Ahmed Selouani:
Arabic speaker emotion classification using rhythm metrics and neural networks. EUSIPCO 2015: 1426-1430 - 2014
- [c5]Yousef Ajami Alotaibi
, Ali H. Meftah, Sid-Ahmed Selouani:
Investigating the impact of phonetic cross language modeling on Arabic and English speech recognition. CSNDSP 2014: 585-590 - [c4]Yousef Ajami Alotaibi
, Ali H. Meftah, Sid-Ahmed Selouani, Yasser Mohammad Seddiq:
Speaker environment classification using rhythm metrics in Levantine Arabic dialect. CSNDSP 2014: 706-709 - [c3]Ali H. Meftah, Sid-Ahmed Selouani, Yousef Ajami Alotaibi
:
Preliminary Arabic speech emotion classification. ISSPIT 2014: 179-182 - 2012
- [c2]Yousef Ajami Alotaibi
, Sid-Ahmed Selouani, Mansour M. Alghamdi, Ali H. Meftah:
Arabic and English speech recognition using cross-language acoustic models. ISSPA 2012: 40-44 - 2010
- [c1]Yousef Ajami Alotaibi
, Ali Hamid Meftah:
Comparative evaluation of two arabic speech corpora. NLPKE 2010: 1-5
Coauthor Index
aka: Yousef Alotaibi
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