Publications

International Journal Papers

▶ Jihyeon Roh, Sungjin Park, Bo-Kyeong Kim, Sang-Hoon Oh, and Soo-Young Lee, "Unsupervised multi-sense language models for natural language processing tasks," Neural Networks, Vol. 142, pp. 397-409, 2021.

▶ Geonmim Kim, Hwaran Lee, Bo-Kyeong Kim, Sang-Hoon Oh, and Soo-Young Lee, "Unpaired Speech Enhancement by Acoustic and Adversarial Supervision for Speech Recognition," IEEE Signal Processing Letters, Vol. 26, pp. 159-163, 2019.

▶ Ho-Gyeong Kim, Hwaran Lee, Geonmin Kim, Sang-Hoon Oh, and Soo-Young Lee, "Rescoring of N-Best Hypotheses Using Top-Down Selective Attention for Automatic Speech Recognition," IEEE Signal Processing Letters, Vol. 24, pp. 199-203, 2018.

▶ Hwaran Lee, Geonmin Kim, Ho-Gyeong Kim, Sang-Hoon Oh, and Soo-Young Lee, "Deep CNNs Along the Time Axis With Intermap Pooling for Robustness to Spectral Variations," IEEE Signal Processing Letters, Vol. 23, pp. 1310-1314, 2016.

▶ Wonil Chang, Hyun Ah Song, Sang-Hoon Oh, and Soo-Young Lee, "Noise-Robust Detection of Symmetric Axes by Self-Correcting Artificial Neural Network," Neural Processing Letters, Vol. 41, pp. 179-189, 2015.

▶ Changhyun Kim, Wonil Chang, Sang-Hoon Oh, and Soo-Young Lee, "Joint estimation of multiple notes and inharmonicity coefficient based on f0-triplet for automatic piano transcription," IEEE Signal Processing Letters, Vol. 21, No. 12, pp. 1536-1540, Dec. 2014.

▶ Do-Kwan Oh, Sang-Hoon Oh, and Soo-Young Lee, ``Learning one-to-many mapping with locally linear maps based on manifold structure," IEEE Signal Processing Letters, Vol. 18, No. 9, pp. 521-524, September 2011.

▶ Chang-Hyun Kim, Sang-Hoon Oh, and Soo-Young Lee, ``Improving the abilities of K-12 in grasping timbre through MAX/MPS software," Music Therapy Today, Vol. 9, No. 1, pp. 202-203, Summer 2011.

▶ Sang-Hoon Oh, ``Error back-propagation algorithm for classification of imbalanced data," Neurocomputing, Vol. 74, pp. 1058-1061, 2011.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, ``A Bark-scale filter bank approach to independent component analysis for acoustic mixtures," Neurocomputing, Vol. 73, pp. 304-314, Dec. 2009.

▶ Jong-Hwan Lee, Sang-Hoon Oh, and Soo-Young Lee, ``Binaural Semi-Blind Dereverberation of Noisy Convoluted Speech Signals," Neurocomputing, Vol. 72, pp. 636-642, Dec. 2008.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, ``A Modified Infomax Algorithm for Blind Signal Separation," Neurocomputing, Vol. 70, pp. 225-249, Dec. 2006.

▶ Hyung-Min Park, Chandra Shekhar Dhir, Sang-Hoon Oh, and Soo-Young Lee, ``A Filter Bank Approach to Independent Component Analysis for Convolved Mixtures," Neurocomputing, Vol. 69, pp. 2065-2077, Oct. 2006.

▶ Sungmoon Cheong, Sang-Hoon Oh, and Soo-Young Lee, ``Support Vector Machines with Binary Tree Architecture for Multi-Class Classification," Neural Information Processing-Letters and Reviews, Vol. 2, pp. 47-51, March 2004.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, ``A Filter Bank Approach to Independent Component Analysis and Its Application to Adaptive Noise Cancelling," Neurocomputing, Vol. 55, pp. 755-759, Oct. 2003.

▶ Hyung-Min Park, Sang-Hoon Oh, and Soo-Young Lee, ``Adaptive noise cancelling based on independent component analysis," IEE Electronics Letters, vol. 38, no. 15, pp. 832-833, July 2002.

▶ Sang-Hoon Oh and Soo-Young Lee, ``An adaptive learning rate with limited error signals for training of multilayer perceptrons," ETRI Journal, vol. 22, no. 3, pp. 10-18, Sept. 2000.

▶ Sang-Hoon Oh and Soo-Young Lee, ``A new error function at hidden layers for fast training of multilayer perceptrons," IEEE Trans. Neural Networks, vol. 10, pp. 960-964, 1999.

▶ Sang-Hoon Oh, ``Improving the error back-propagation algorithm with a modified error function," IEEE Trans. Neural Networks, vol. 8, pp. 799-803, 1997.

▶ Sang-Hoon Oh and Youngjik Lee, ``Sensitivity analysis of single hidden-layer neural networks with threshold functions," IEEE Trans. Neural Networks, vol. 6, pp. 1005-1007, July 1995.

▶ Sang-Hoon Oh and Youngjik Lee, ``A modified error function to improve the error back-propagation algorithm of multi-layer perceptrons," ETRI Journal, vol. 17, pp. 11-22, April 1995.

▶ Sang-Hoon Oh and Youngjik lee, ``Effect of nonlinear transformations on correlation between weighted sums in multi-layer perceptrons," IEEE Trans. Neural Networks, vol. 5, pp. 508-510, May 1994.

▶ Youngjik Lee and Sang-Hoon Oh, ``Input noise immunity of multilayer perceptrons," ETRI Journal, vol. 16, no. 1, pp. 35-43, April 1994.

▶ Youngjik Lee, Sang-Hoon Oh, and Myung Won Kim, ``An analysis of premature saturation in back-propagation learning," Neural networks, vol. 6, pp. 719-728, 1993.

▶ Sang-Hoon Oh, Tae-Hoon Yoon, and Jae Chang Kim, ``Associative-memory model based on neural networks: modification of Hopfield model," Opt. Lett., vol. 13, pp. 74-76, Jan. 1988.

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