Seongjun Hahm - Concepedia

Author

Seongjun Hahm

The University of Texas at Dallas

Also Known As

Hahm, Seongjun, Seong-Jun Hahm, Seongjun Hahm

Publications

218

Citations

H-Index

Concepts

All Affiliations

The University of Texas at Dallas United States Department of Energy

About

Seongjun Hahm is an author at The University of Texas at Dallas specializing in speech processing, speech recognition, and engineering.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	6	6	129
2	Health Sciences	5	5	115
3	Computer Science	2	2	69
4	Language Studies	1	1	11
5	Medicine	1	1	22

Seongjun Hahm

Publications

184

Citations

H-Index

Page 1

	Year	Citations
Uncertainty propagation in front end factor analysis for noise robust speaker recognition Chengzhu Yu, Gang Liu, Seongjun Hahm, EngineeringMachine LearningBiometricsAcoustic ModelingOracle Uncertainty	2014	44
Deep Learning-Based Telephony Speech Recognition in the Wild Kyu J. Han, Seongjun Hahm, Byung‐Hak Kim, EngineeringMachine LearningSpeech ProcessingComputer ScienceVoice Recognition	2017	25
Parkinson's condition estimation using speech acoustic and inversely mapped articulatory data Seongjun Hahm, Jun Wang Health SciencesMedicineArticulatory DataPhoneticsSpeech Acoustics	2015	22
Speech recognition in living rooms: Integrated speech enhancement and recognition system based on spatial, spectral and temporal modeling of sounds Marc Delcroix, Keisuke Kinoshita, Tomohiro Nakatani, Computer Speech & Language EngineeringHealth SciencesAcoustic Signal ProcessingRecognition SystemNoise	2012	20
Recognizing Dysarthric Speech due to Amyotrophic Lateral Sclerosis with Across-Speaker Articulatory Normalization Seongjun Hahm, Daragh Heitzman, Jun Wang	2015	18
Determining an Optimal Set of Flesh Points on Tongue, Lips, and Jaw for Continuous Silent Speech Recognition Jun Wang, Seongjun Hahm, Ted Mau	2015	15
Speaker-independent silent speech recognition with across-speaker articulatory normalization and speaker adaptive training Jun Wang, Seongjun Hahm EngineeringAcross-speaker Articulatory NormalizationHealth SciencesMulti-speaker Speech RecognitionRobust Speech Recognition	2015	15
Silent speech recognition from articulatory movements using deep neural network. Seongjun Hahm, Jun Wang ICPhS EngineeringHealth SciencesDeep LearningNoiseRobust Speech Recognition	2015	14
Training a language model using webdata for large vocabulary Japanese spontaneous speech recognition Ryo Masumura, Seongjun Hahm, Akinori Ito Natural Language ProcessingEngineeringMachine LearningSpeech CorpusComputational Linguistics	2011	11

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