| Deep learning for environmentally robust speech recognition: An overview of recent developments Z Zhang, J Geiger, J Pohjalainen, AED Mousa, W Jin, B Schuller ACM Transactions on Intelligent Systems and Technology (TIST) 9 (5), 1-28, 2018 | 424 | 2018 |
| Contextual bidirectional long short-term memory recurrent neural network language models: A generative approach to sentiment analysis A Mousa, B Schuller | 128 | 2017 |
| The rwth 2010 quaero asr evaluation system for english, french, and german M Sundermeyer, M Nußbaum-Thom, S Wiesler, C Plahl, AED Mousa, ... 2011 IEEE International Conference on Acoustics, Speech and Signal …, 2011 | 58 | 2011 |
| Sentiment analysis and opinion mining: on optimal parameters and performances B Schuller, AED Mousa, V Vryniotis Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery 5 (5 …, 2015 | 57 | 2015 |
| Hybrid Language Models Using Mixed Types of Sub-Lexical Units for Open Vocabulary German LVCSR. MAB Shaik, AED Mousa, R Schlüter, H Ney Interspeech, 1441-1444, 2011 | 52 | 2011 |
| Investigating the Use of Morphological Decomposition and Diacritization for Improving Arabic LVCSR HN A. El-Desoky Mousa, C. Gollan, D. Rybach, R Interspeech, 2679-2682, 2009 | 51 | 2009 |
| I hear you eat and speak: Automatic recognition of eating condition and food type, use-cases, and impact on asr performance S Hantke, F Weninger, R Kurle, F Ringeval, A Batliner, AED Mousa, ... PloS one 11 (5), e0154486, 2016 | 48 | 2016 |
| MORPHEME-BASED FEATURE-RICH LANGUAGE MODELS USING DEEP NEURAL NETWORKS FOR LVCSR OF EGYPTIAN ARABIC AED Mousa, HKJ Kuo, L Mangu, H Soltau ICASSP 2013, 2013 | 47 | 2013 |
| Open Vocabulary Arabic Handwriting Recognition Using Morphological Decomposition HN M. Hamdani, A. El-Desoky Mousa ICDAR, 280-284, 2013 | 42* | 2013 |
| The RWTH Large Vocabulary Arabic Handwriting Recognition System HN M. Hamdani, P. Doetsch, M. Kozielski, H. Pesch, A International Workshop on Document Analysis Systems (DAS), 2014 | 36* | 2014 |
| Smart glove-based gestures recognition system for Arabic sign language N Saleh, M Farghaly, E Elshaaer, A Mousa 2020 international conference on innovative trends in communication and …, 2020 | 33 | 2020 |
| Deep bidirectional long short-term memory recurrent neural networks for grapheme-to-phoneme conversion utilizing complex many-to-many alignments AED Mousa, B Schuller | 30 | 2016 |
| Using morpheme and syllable based sub-words for polish LVCSR MAB Shaik, AED Mousa, R Schluter, H Ney Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International …, 2011 | 25 | 2011 |
| Deep learning for multisensorial and multimodal interaction G Keren, AED Mousa, O Pietquin, S Zafeiriou, B Schuller The Handbook of Multimodal-Multisensor Interfaces: Signal Processing …, 2018 | 19 | 2018 |
| Sub-lexical language models for German LVCSR AED Mousa, MAB Shaik, R Schlüter, H Ney 2010 IEEE Spoken Language Technology Workshop, 171-176, 2010 | 18 | 2010 |
| INVESTIGATIONS ON THE USE OF MORPHEME LEVEL FEATURES IN LANGUAGE MODELS FOR ARABIC LVCSR AED Mousa, R Schlüter, H Ney ICASSP 2012, 2012 | 15 | 2012 |
| A Hybrid Morphologically Decomposed Factored Language Models for Arabic LVCSR HN A. El-Desoky Mousa, R. Schlüter NAACL-HLT, 701-704, 2010 | 15* | 2010 |
| Extended-deep Q-network: A functional reinforcement learning-based energy management strategy for plug-in hybrid electric vehicles A Mousa Engineering Science and Technology, an International Journal 43, 101434, 2023 | 12 | 2023 |
| Compound Word Recombination for German LVCSR. M Nußbaum-Thom, AED Mousa, R Schlüter, H Ney INTERSPEECH, 1449-1452, 2011 | 12 | 2011 |
| Morpheme Based Factored Language Models for German LVCSR. AED Mousa, MAB Shaik, R Schlüter, H Ney INTERSPEECH, 1445-1448, 2011 | 12 | 2011 |
Hermann NeyRWTH Aachen UniversityPreverjeni e-poštni naslov na cs.rwth-aachen.de
