Amr Ibrahim El-Desoky Mousa
Amr Ibrahim El-Desoky Mousa
Machine Learning Engineer, Apple Inc.
Verified email at cs.rwth-aachen.de
TitleCited byYear
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
49*2009
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
482011
Hybrid language models using mixed types of sub-lexical units for open vocabulary German LVCSR
MAB Shaik, AED Mousa, R Schlüter, H Ney
Twelfth Annual Conference of the International Speech Communication Association, 2011
412011
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), 49, 2018
402018
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
302013
Open Vocabulary Arabic Handwriting Recognition Using Morphological Decomposition
HN M. Hamdani, A. El-Desoky Mousa
ICDAR, 280-284, 2013
29*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
24*2014
Contextual bidirectional long short-term memory recurrent neural network language models: A generative approach to sentiment analysis
A Mousa, B Schuller
Proceedings of the 15th Conference of the European Chapter of the …, 2017
232017
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
232011
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
212015
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
182016
Sub-lexical language models for German LVCSR
AED Mousa, MAB Shaik, R Schlüter, H Ney
2010 IEEE Spoken Language Technology Workshop, 171-176, 2010
182010
INVESTIGATIONS ON THE USE OF MORPHEME LEVEL FEATURES IN LANGUAGE MODELS FOR ARABIC LVCSR
AED Mousa, R Schlüter, H Ney
ICASSP 2012, 2012
142012
A Hybrid Morphologically Decomposed Factored Language Models for Arabic LVCSR
HN A. El-Desoky Mousa, R. Schlüter
NAACL-HLT, 701-704, 2010
12*2010
Deep learning for multisensorial and multimodal interaction
G Keren, AED Mousa, O Pietquin, S Zafeiriou, B Schuller
The Handbook of Multimodal-Multisensor Interfaces, 99-128, 2018
92018
Deep Bidirectional Long Short-Term Memory Recurrent Neural Networks for Grapheme-to-Phoneme Conversion Utilizing Complex Many-to-Many Alignments.
AED Mousa, BW Schuller
Interspeech, 2836-2840, 2016
92016
Morpheme based factored language models for German LVCSR
AED Mousa, MAB Shaik, R Schlüter, H Ney
Twelfth Annual Conference of the International Speech Communication Association, 2011
82011
Compound word recombination for German LVCSR
M Nußbaum-Thom, AED Mousa, R Schlüter, H Ney
Twelfth Annual Conference of the International Speech Communication Association, 2011
72011
Feature-rich sub-lexical language models using a maximum entropy approach for German LVCSR.
MAB Shaik, AED Mousa, R Schlüter, H Ney
Interspeech, 3404-3408, 2013
62013
Sub-Word Based Language Modeling of Morphologically Rich Languages for LVCSR, PhD Thesis
AED Mousa
Computer Science Department, RWTH Aachen University, Aachen, Germany, 2014
5*2014
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Articles 1–20