Mathew Magimai.-Doss

Author

Also Known As

-Doss, Mathew Magimai., Dines, John, Doss, Mathew Magimai, Doss, Matthew Magimai, Gábor Olaszy, M. Doss, M. Magimai-Doss, M. Magimai.-Doss, M.M. Doss, MATHEW MAGIMAI-DOSS

229

Publications

5.5K

Citations

H-Index

120

Concepts

All Affiliations

Idiap Research Institute École Polytechnique Fédérale de Lausanne International Computer Science Institute University of Washington

About

Mathew Magimai.-Doss is an author at Idiap Research Institute specializing in speech recognition, speech processing, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	26	53	4.3K
2	Language Studies	19	32	936
3	Health Sciences	17	26	3.3K
4	American Sign Language	2	2	59
5	Medicine	1	1	30

Mathew Magimai.-Doss

Publications

4.9K

Citations

H-Index

Page 1

	Year	Citations
Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, 2007 (ICASSP 2007) Karen Livescu, Ari Bezman, Nash Borges, EngineeringHealth SciencesAudio Signal ProcessingSpeech AcousticsAcoustic Modeling	2007	2.1K
Analysis of CNN-based speech recognition system using raw speech as input Dimitri Palaz, Mathew Magimai.-Doss, Ronan Collobert EngineeringMachine LearningFeature ExtractionAcoustic Speech SignalSpeech Recognition	2015	278
Convolutional Neural Networks-based continuous speech recognition using raw speech signal Dimitri Palaz, Mathew Magimai.-Doss, Ronan Collobert EngineeringMachine LearningSpoken Language ProcessingAcoustic Speech SignalSpeech Recognition	2015	178
End-to-end acoustic modeling using convolutional neural networks for HMM-based automatic speech recognition Dimitri Palaz, Mathew Magimai.-Doss, Ronan Collobert Speech Communication EngineeringMachine LearningData ScienceDeep LearningHealth Sciences	2019	159
Towards Directly Modeling Raw Speech Signal for Speaker Verification Using CNNS Hannah Muckenhirn, Mathew Magimai.-Doss, Sebastien Marcell EngineeringMachine LearningBiometricsSpeech RecognitionData Science	2018	129
Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 JHU Summer workshop Karen Livescu, Özgür Çetin, Mark Hasegawa‐Johnson, MusicEngineeringMachine LearningPhonologyArticulatory Feature-based Methods	2007	96
Analysis of MLP-Based Hierarchical Phoneme Posterior Probability Estimator Joel Pinto, S. Garimella, Mathew Magimai.-Doss, IEEE Transactions on Audio Speech and Language Processing EngineeringMachine LearningSpoken Language ProcessingMultilayer PerceptronBayesian Inference	2010	80
Using KL-based acoustic models in a large vocabulary recognition task Guillermo Aradilla, Hervé Bourlard, Mathew Magimai.-Doss EngineeringSpoken Language ProcessingPhonologyAcoustic ModelingSpeech Recognition	2008	70
A Comparison of Acoustic and Linguistics Methodologies for Alzheimer’s Dementia Recognition Nicholas Cummins, Yilin Pan, Zhao Ren,	2020	52
Exploiting contextual information for improved phoneme recognition Joel Pinto, B. Yegnanarayana, Hynek Heřmanský, EngineeringMachine LearningBiometricsSpoken Language ProcessingSpeech Recognition	2008	50

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