Research Output per year
Fingerprint Dive into the research topics where Ahmed Ali is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Speech recognition
Engineering & Materials Science
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Engineering & Materials Science
Acoustics
Engineering & Materials Science
Identification (control systems)
Engineering & Materials Science
Neural networks
Engineering & Materials Science
Automatic Speech Recognition
Mathematics
Broadcast
Mathematics
Classifiers
Engineering & Materials Science
Network
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Research Output 2012 2019
A Factorial Deep Markov Model for Unsupervised Disentangled Representation Learning from Speech
Khurana, S., Rayhan Joty, S., Ali, A. & Glass, J., 1 May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6540-6544 5 p. 8683131. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Analyzing phonetic and graphemic representations in end-to-end automatic speech recognition
Belinkov, Y., Ali, A. & Glass, J., 1 Jan 2019, In : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2019-September, p. 81-85 5 p.Research output: Contribution to journal › Conference article
Automatic Speech Recognition
Speech analysis
Speech recognition
Acoustics
Neural Networks
Domain Attentive Fusion for End-to-end Dialect Identification with Unknown Target Domain
Shon, S., Ali, A. & Glass, J., 1 May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 5951-5955 5 p. 8682533. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Identification (control systems)
Fusion reactions
Acoustics
Deep learning
1
Citation
(Scopus)
Efficient Arabic Emotion Recognition Using Deep Neural Networks
Hifny, Y. & Ali, A., 1 May 2019, 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 6710-6714 5 p. 8683632. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings; vol. 2019-May).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Neural networks
Speech recognition
Deep neural networks
Farspeech: Arabic natural language processing for live Arabic speech
Eldesouki, M., Gopee, N., Ali, A. & Darwish, K., 1 Jan 2019, In : Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2019-September, p. 2372-2373 2 p.Research output: Contribution to journal › Conference article
Natural Language
Processing
Neural Networks
Multimodality
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