Mohammed Abdel-Wahab

Orcid: 0000-0003-1316-6141

Affiliations:
  • The University of Texas at Dallas, Richardson, TX, USA


According to our database1, Mohammed Abdel-Wahab authored at least 13 papers between 2014 and 2023.

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

Timeline

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Bibliography

2023
Quantifying Emotional Similarity in Speech.
IEEE Trans. Affect. Comput., 2023

2020
The MSP-Conversation Corpus.
Proceedings of the Interspeech 2020, 2020

2019
Retrieving Speech Samples with Similar Emotional Content Using a Triplet Loss Function.
Proceedings of the IEEE International Conference on Acoustics, 2019

Active Learning for Speech Emotion Recognition Using Deep Neural Network.
Proceedings of the 8th International Conference on Affective Computing and Intelligent Interaction, 2019

2018
Domain Adversarial for Acoustic Emotion Recognition.
IEEE ACM Trans. Audio Speech Lang. Process., 2018

Study of Dense Network Approaches for Speech Emotion Recognition.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017
MSP-IMPROV: An Acted Corpus of Dyadic Interactions to Study Emotion Perception.
IEEE Trans. Affect. Comput., 2017

Incremental adaptation using active learning for acoustic emotion recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Ensemble feature selection for domain adaptation in speech emotion recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Automatic composition of broadcast news summaries using rank classifiers trained with acoustic and lexical features.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Tradeoff between quality and quantity of emotional annotations to characterize expressive behaviors.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Supervised domain adaptation for emotion recognition from speech.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
Evaluation of syllable rate estimation in expressive speech and its contribution to emotion recognition.
Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014


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