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Research Interests

Music Information Retrieval with Machine Learning
Lyrics to Audio Alignment
Singing Voice Information
Music Similarity
Computational Music Theory : Modeling Tonal Tension


S. Chang, K. Lee, “A pairwise approach to simultaneous onset/offset detection for singing voice using correntropy,” in Proc. ICASSP, 2014.
S. Chang, K. Lee, “Saliency-driven model for perceptual audio onset detection,” in Proc. ICMPC, 2014.
S. Chang, K. Lee, “Classification of male/female singing voice in mixed audio signals by probabilistic latent component analysis and gaussian mixture models,” in Proc. CPCT, 2012.
Y. Chun, S. Chang, T. Woo, “Research on specialized game design mechanism for smart game environment,” in Proc. Korea Game Society, 2012.
S. Chang, J. Oh, K. Lee, “Sonification of mood State in twitter based on ANEW analysis,” in Proc. CPCT, 2011.
J. Oh, S. Chang, M. Kim, “An Interface for sonification of mood state in twitter,” in Proc. KHCI, 2011.
S. Choi, Y. Hwang, S. Chang, M. Kim, “The korean traditional music ontology (KTMO) – an ontology for the korean traditional music linked data,” in Proc. ICONI, 2011.
S. Chang, K. Lee, “Interpretation of tonal pitch space in music signals: theoretical framework and preliminary experiments,” in Proc. KEAMSAC, 2011.
Z. Lee, S. Chang, C. Lim, “MixPlore: a digital performance using tangible user interfaces based on cocktail mixology,” International Journal of Arts and Technology (IJART), Vol. 4, No. 2, pp.133-154, 2011.


Music-lyrics Alignment
Interactive Music Edutainment
Tinnitus Therapy based on Music and Brainwave Analysis
Blind Source Separation
Auto-regressive Generative Adversarial Network for Singing Synthesis and Evaluation