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ORCIDMohamed Kamal Omar
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2010 – 2019
- 2016
[c26]Mohamed Kamal Omar:
A factor analysis model of sequences for language recognition. SLT 2016: 341-347- 2015
- [c25]Mohamed Kamal Omar:
Fast approximate i-vector estimation using PCA. ICASSP 2015: 4495-4499 - 2014
- [c24]Mohamed Kamal Omar, Sriram Ganapathy:
Shift-invariant features for speech activity detection in adverse radio-frequency channel conditions. ICASSP 2014: 6309-6313 - [c23]Sriram Ganapathy, Kyu Jeong Han, Samuel Thomas, Mohamed Kamal Omar, Maarten Van Segbroeck, Shrikanth S. Narayanan:
Robust language identification using convolutional neural network features. INTERSPEECH 2014: 1846-1850 - 2013
- [c22]Sriram Ganapathy, Mohamed Kamal Omar, Jason W. Pelecanos:
Unsupervised channel adaptation for language identification using co-training. ICASSP 2013: 6857-6861 - [c21]Kyu Jeong Han, Sriram Ganapathy, Ming Li, Mohamed Kamal Omar, Shrikanth S. Narayanan:
TRAP language identification system for RATS phase II evaluation. INTERSPEECH 2013: 1502-1506 - 2012
- [c20]Kyu Jeong Han, Jason W. Pelecanos, Mohamed Kamal Omar:
Keyword-conditioned phone N-gram modeling with contextual information for speaker verification. ICASSP 2012: 4797-4800 - [c19]Sibel Yaman, Jason W. Pelecanos, Mohamed Kamal Omar:
On the Use of Non-Linear Polynomial Kernel SVMs in Language Recognition. INTERSPEECH 2012: 2053-2056 - [c18]Sriram Ganapathy, Mohamed Kamal Omar, Jason W. Pelecanos:
Noisy channel adaptation in language identification. SLT 2012: 307-312 - 2011
- [c17]Sriram Ganapathy, Jason W. Pelecanos, Mohamed Kamal Omar:
Feature normalization for speaker verification in room reverberation. ICASSP 2011: 4836-4839 - [c16]Kyu Jeong Han, Mohamed Kamal Omar, Jason W. Pelecanos, Cezar Pendus, Sibel Yaman, Weizhong Zhu:
Forensically inspired approaches to automatic speaker recognition. ICASSP 2011: 5160-5163 - [c15]Sibel Yaman, Jason W. Pelecanos, Mohamed Kamal Omar:
Boosting Speaker Recognition Performance with Compact Representations. INTERSPEECH 2011: 381-384 - [c14]Mohamed Kamal Omar, Jason W. Pelecanos:
Conversational-Side-Specific Inter-Session Variability Compensation. INTERSPEECH 2011: 497-500 - 2010
- [c13]Mohamed Kamal Omar, Jason W. Pelecanos:
A novel approach to detecting non-native speakers and their native language. ICASSP 2010: 4398-4401 - [c12]Mohamed Kamal Omar, Jason W. Pelecanos:
Training Universal Background Models for Speaker Recognition. Odyssey 2010: 10
2000 – 2009
- 2009
- [c11]Mohamed Kamal Omar, Jason W. Pelecanos, Ganesh N. Ramaswamy:
Maximum margin linear kernel optimization for speaker verification. ICASSP 2009: 4037-4040 - 2007
- [c10]Mohamed Kamal Omar:
Regularized feature-based maximum likelihood linear regression for speech recognition. INTERSPEECH 2007: 1561-1564 - [c9]Mohamed Kamal Omar:
A variational approach to robust maximum likelihood estimation for speech recognition. INTERSPEECH 2007: 2105-2108 - 2006
- [c8]Mohamed Kamal Omar, Ganesh N. Ramaswamy:
Maximum Conditional Mutual Information Weighted Scoring for Speech Recognition. ICASSP (1) 2006: 277-280 - 2005
- [c7]Mohamed Kamal Omar, Upendra V. Chaudhari, Ganesh N. Ramaswamy:
Blind Change Detection for Audio Segmentation. ICASSP (1) 2005: 501-504 - [c6]Upendra V. Chaudhari, Ganesh N. Ramaswamy, Edward A. Epstein, Sasha Caskey, Mohamed Kamal Omar:
Adaptive speech analytics: system, infrastructure, and behavior. INTERSPEECH 2005: 153-156 - [c5]Mohamed Kamal Omar, Jirí Navrátil, Ganesh N. Ramaswamy:
Maximum conditional mutual information modeling for speaker verification. INTERSPEECH 2005: 2169-2172 - 2004
- [j2]Mohamed Kamal Omar, Mark Hasegawa-Johnson:
Model enforcement: a unified feature transformation framework for classification and recognition. IEEE Trans. Signal Process. 52(10): 2701-2710 (2004) - 2003
- [b1]Mohamed Kamal Omar:
Acoustic Feature Design for Speech Recognition, a Statistical Information-Theoretic Approach. University of Illinois Urbana-Champaign, USA, 2003 - [j1]Mohamed Kamal Omar, Mark Hasegawa-Johnson:
Approximately independent factors of speech using nonlinear symplectic transformation. IEEE Trans. Speech Audio Process. 11(6): 660-671 (2003) - [c4]Mohamed Kamal Omar, Mark Hasegawa-Johnson:
Maximum conditional mutual information projection for speech recognition. INTERSPEECH 2003: 505-508 - [c3]Mohamed Kamal Omar, Mark Hasegawa-Johnson:
Non-linear maximum likelihood feature transformation for speech recognition. INTERSPEECH 2003: 2497-2500 - 2002
- [c2]Mohamed Kamal Omar, Mark Hasegawa-Johnson
:
Maximum mutual information based acoustic-features representation of phonological features for speech recognition. ICASSP 2002: 81-84 - [c1]Mohamed Kamal Omar, Ken Chen, Mark Hasegawa-Johnson, Yigal Brandman:
An evaluation of using mutual information for selection of acoustic-features representation of phonemes for speech recognition. INTERSPEECH 2002: 2129-2132
Coauthor Index
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