Ali H. Meftah

Orcid: 0000-0002-9038-2772

Affiliations:
  • King Saud University, College of Computer and Information Sciences, Riyadh, Saudi Arabia


According to our database1, Ali H. Meftah authored at least 26 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
English Emotional Voice Conversion Using StarGAN Model.
IEEE Access, 2023

2021
Sequence-to-Sequence Acoustic-to-Phonetic Conversion Using Spectrograms and Deep Learning.
IEEE Access, 2021

Digital Audio Forensics: Microphone and Environment Classification Using Deep Learning.
IEEE Access, 2021

King Saud University Emotions Corpus: Construction, Analysis, Evaluation, and Comparison.
IEEE Access, 2021

2020
Speaker Identification in Different Emotional States in Arabic and English.
IEEE Access, 2020

Optimizing Arabic Speech Distinctive Phonetic Features and Phoneme Recognition Using Genetic Algorithm.
IEEE Access, 2020

Speaker Identification in Different Emotional States.
Proceedings of the 12th International Symposium on Communication Systems, 2020

Speech Emotion Recognition using Convolutional Recurrent Neural Networks and Spectrograms.
Proceedings of the IEEE Canadian Conference on Electrical and Computer Engineering, 2020

2019
Distinctive Phonetic Features Modeling and Extraction Using Deep Neural Networks.
IEEE Access, 2019

2018
Correction to: Revisiting distinctive phonetic features from applied computing perspective: unifying views and analyzing modern Arabic speech varieties.
Int. J. Speech Technol., 2018

Revisiting distinctive phonetic features from applied computing perspective: unifying views and analyzing modern Arabic speech varieties.
Int. J. Speech Technol., 2018

Evaluation of an Arabic Speech Corpus of Emotions: A Perceptual and Statistical Analysis.
IEEE Access, 2018

2017
A new look at the automatic mapping between Arabic distinctive phonetic features and acoustic cues.
Proceedings of the 40th International Conference on Telecommunications and Signal Processing, 2017

Cross-corpus Arabic and English emotion recognition.
Proceedings of the 2017 IEEE International Symposium on Signal Processing and Information Technology, 2017

Building a Rich Arabic Speech and Language Corpus Based on the Holy Quran.
Proceedings of the Arabic Language Processing: From Theory to Practice, 2017

Investigating Arabic Speakers' Emotions Using Speech Rhythm Metrics.
Proceedings of the 2017 European Modelling Symposium (EMS), 2017

2016
Duration modeling in automatic recited speech recognition.
Proceedings of the 39th International Conference on Telecommunications and Signal Processing, 2016

Classical Arabic phoneme contextual analysis using HMM classifiers.
Proceedings of the 2016 IEEE International Symposium on Signal Processing and Information Technology, 2016

Reintroducing KAPD as a Dataset for Machine Learning and Data Mining Applications.
Proceedings of the 2016 European Modelling Symposium, 2016

A Comparative Study of Different Speech Features for Arabic Phonemes Classification.
Proceedings of the 2016 European Modelling Symposium, 2016

2015
Arabic speaker emotion classification using rhythm metrics and neural networks.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Preliminary Arabic speech emotion classification.
Proceedings of the 2014 IEEE International Symposium on Signal Processing and Information Technology, 2014

Speaker environment classification using rhythm metrics in Levantine Arabic dialect.
Proceedings of the 9th International Symposium on Communication Systems, 2014

Investigating the impact of phonetic cross language modeling on Arabic and English speech recognition.
Proceedings of the 9th International Symposium on Communication Systems, 2014

2012
Arabic and English speech recognition using cross-language acoustic models.
Proceedings of the 11th International Conference on Information Science, 2012

2010
Comparative evaluation of two arabic speech corpora.
Proceedings of the 6th International Conference on Natural Language Processing and Knowledge Engineering, 2010


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