| Robust entropy-based endpoint detection for speech recognition in noisy environments. J Shen, J Hung, L Lee ICSLP 98, 232-235, 1998 | 432 | 1998 |
| Optimization of temporal filters for constructing robust features in speech recognition JW Hung, LS Lee IEEE transactions on audio, speech, and language processing 14 (3), 808-832, 2006 | 70 | 2006 |
| Speech enhancement using segmental nonnegative matrix factorization HT Fan, J Hung, X Lu, SS Wang, Y Tsao 2014 IEEE international conference on acoustics, speech and signal …, 2014 | 56 | 2014 |
| Improved MFCC feature extraction by PCA-optimized filter-bank for speech recognition SM Lee, SH Fang, J Hung, LS Lee IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU …, 2001 | 44 | 2001 |
| Time-domain multi-modal bone/air conducted speech enhancement C Yu, KH Hung, SS Wang, Y Tsao, J Hung IEEE Signal Processing Letters 27, 1035-1039, 2020 | 43 | 2020 |
| Automatic metric-based speech segmentation for broadcast news via principal component analysis. J Hung, H Wang, L Lee INTERSPEECH, 121-124, 2000 | 43 | 2000 |
| Speaker-aware deep denoising autoencoder with embedded speaker identity for speech enhancement. FK Chuang, SS Wang, J Hung, Y Tsao, SH Fang Interspeech, 3173-3177, 2019 | 33 | 2019 |
| New approaches for domain transformation and parameter combination for improved accuracy in parallel model combination (PMC) techniques J Hung, J Shen, L Lee IEEE Transactions on Speech and Audio Processing 9 (8), 842-855, 2001 | 30 | 2001 |
| Wavelet speech enhancement based on nonnegative matrix factorization SS Wang, A Chern, Y Tsao, J Hung, X Lu, YH Lai, B Su IEEE Signal Processing Letters 23 (8), 1101-1105, 2016 | 29 | 2016 |
| Improved modulation spectrum enhancement methods for robust speech recognition J Hung, W Tu, C Lai Signal Processing 92 (11), 2791-2814, 2012 | 26 | 2012 |
| Comparative analysis for data-driven temporal filters obtained via principal component analysis (PCA) and linear discriminant analysis (LDA) in speech recognition. J Hung, H Wang, L Lee INTERSPEECH, 1959-1962, 2001 | 26 | 2001 |
| Optimization of filter-bank to improve the extraction of MFCC features in speech recognition J Hung Proceedings of 2004 International Symposium on Intelligent Multimedia, Video …, 2004 | 23 | 2004 |
| Suppression by selecting wavelets for feature compression in distributed speech recognition SS Wang, P Lin, Y Tsao, JW Hung, B Su IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (3), 564-579, 2017 | 20 | 2017 |
| Data-driven temporal filters based on multi-eigenvectors for robust features in speech recognition N Wang, J Hung, L Lee 2003 IEEE International Conference on Acoustics, Speech, and Signal …, 2003 | 19 | 2003 |
| Improved robustness for speech recognition under noisy conditions using correlated parallel model combination J Hung, J Shen, L Lee Proceedings of the 1998 IEEE International Conference on Acoustics, Speech …, 1998 | 19 | 1998 |
| Subband feature statistics normalization techniques based on a discrete wavelet transform for robust speech recognition J Hung, HT Fan IEEE Signal Processing Letters 16 (9), 806-809, 2009 | 18 | 2009 |
| Constructing modulation frequency domain-based features for robust speech recognition JW Hung, WY Tsai IEEE transactions on audio, speech, and language processing 16 (3), 563-577, 2008 | 18 | 2008 |
| TENET: A time-reversal enhancement network for noise-robust ASR FA Chao, SWF Jiang, BC Yan, J Hung, B Chen 2021 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU), 55-61, 2021 | 17 | 2021 |
| Robust speech recognition via enhancing the complex-valued acoustic spectrum in modulation domain JW Hung, HJ Hsieh, B Chen IEEE/ACM Transactions on Audio, Speech, and Language Processing 24 (2), 236-251, 2015 | 17 | 2015 |
| Silence energy normalization for robust speech recognition in additive noise environment. C Tai, J Hung INTERSPEECH, 2006 | 16 | 2006 |
