Uncertainty propagation in front end factor analysis for noise robust speaker recognition C Yu, G Liu, S Hahm, JHL Hansen 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 58 | 2014 |
Speech recognition in the presence of highly non-stationary noise based on spatial, spectral and temporal speech/noise modeling combined with dynamic variance adaptation M Delcroix, K Kinoshita, T Nakatani, S Araki, A Ogawa, T Hori, ... Machine Listening in Multisource Environments, 2011 | 37 | 2011 |
Deep Learning-Based Telephony Speech Recognition in the Wild. KJ Han, S Hahm, BH Kim, J Kim, IR Lane Interspeech, 1323-1327, 2017 | 33 | 2017 |
Parkinson's condition estimation using speech acoustic and inversely mapped articulatory data S Hahm, J Wang International Speech and Communication Association, 2015 | 33 | 2015 |
Speech recognition in living rooms: Integrated speech enhancement and recognition system based on spatial, spectral and temporal modeling of sounds M Delcroix, K Kinoshita, T Nakatani, S Araki, A Ogawa, T Hori, ... Computer Speech & Language 27 (3), 851-873, 2013 | 27 | 2013 |
Silent speech recognition from articulatory movements using deep neural network. S Hahm, J Wang, J Friedman ICPhS, 2015 | 20 | 2015 |
Recognizing dysarthric speech due to amyotrophic lateral sclerosis with across-speaker articulatory normalization S Hahm, D Heitzman, J Wang Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing …, 2015 | 18 | 2015 |
A System for Evaluating Singing Enthusiasm for Karaoke. R Daido, S Hahm, M Ito, S Makino, A Ito ISMIR, 31-36, 2011 | 16 | 2011 |
Training a language model using webdata for large vocabulary Japanese spontaneous speech recognition R Masumura, S Hahm, A Ito Twelfth Annual Conference of the International Speech Communication Association, 2011 | 16 | 2011 |
Speaker-independent silent speech recognition with across-speaker articulatory normalization and speaker adaptive training J Wang, S Hahm Sixteenth Annual Conference of the International Speech Communication …, 2015 | 15 | 2015 |
Determining an optimal set of flesh points on tongue, lips, and jaw for continuous silent speech recognition J Wang, S Hahm, T Mau Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing …, 2015 | 14 | 2015 |
Language model expansion using webdata for spoken document retrieval R Masumura, S Hahm, A Ito Twelfth Annual Conference of the International Speech Communication Association, 2011 | 12 | 2011 |
Aspect-model-based reference speaker weighting S Hahm, Y Ohkawa, M Ito, M Suzuki, A Ito, S Makino 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 7 | 2010 |
Advanced feature normalization and rapid model adaptation for robust in-vehicle speech recognition SJ Hahm, H Boril, P Angkititrakul, JHL Hansen Proceedings of the 6th Biennial Workshop on Digital Signal Processing for In …, 2013 | 6 | 2013 |
Feature space variational Bayesian linear regression and its combination with model space VBLR SJ Hahm, A Ogawa, M Delcroix, M Fujimoto, T Hori, A Nakamura 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 5 | 2013 |
A fast speaker adaptation method using aspect model S Hahm, A Ito, S Makino, M Suzuki Proceedings of the Annual Conference of the International Speech …, 2008 | 5 | 2008 |
Manipulating vocal signal in mixed music sounds using small amount of side information Y Sasaki, SJ Hahm, A Ito 2011 Seventh International Conference on Intelligent Information Hiding and …, 2011 | 4 | 2011 |
Utterance Classification for Combination of Multiple Simple Dialog Systems SJ Hahm, A Ito, K Awano, M Ito, S Makino 2011 IEEE Ninth International Symposium on Parallel and Distributed …, 2011 | 4 | 2011 |
Grammatical error detection from english utterances spoken by japanese T Anzai, S Hahm, A Ito, M Ito, S Makino Proc. APSIPA ASC, 482-485, 2010 | 4 | 2010 |
Speaker adaptation using variational Bayesian linear regression in normalized feature space SJ Hahm, A Ogawa, M Fujimoto, T Hori, A Nakamura Thirteenth Annual Conference of the International Speech Communication …, 2012 | 3 | 2012 |