Publications
Doctoral Thesis
A Framework for Exploiting Modulation Spectral Features in Music Data Mining and Other Applications (To be posted soon), May 2014
Journals
N. H. Sephus, A. D. Lanterman, and D. V. Anderson. "Modulation Spectral Features: In Pursuit of Invariant Representations of Music with Application to Unsupervised Source Identification,” Journal of New Music Research. To appear in Special Issue on Music Rhythm, Fall 2014.
Conferences
O. L. Smart, N. H. Sephus, and R. E. Gross. “Application of Modulation Spectrum for iEEG Seizure Analysis,” in 2014 IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, To appear in proceedings in May 2014.
N. Sephus, T. Olubanjo, and D. Anderson. “Enhancing Online Music Lessons with Applications in Automating Self-Learning Tutorials and Performance Assessment,” 12th IEEE International Conference on Machine Learning and Applications. Miami, FL. Upcoming Dec. 7, 2013.
N. Sephus, A. Lanterman, and D. Anderson. “Exploring Frequency Modulation Features and Resolution in the Modulation Spectrum,” 2013 IEEE Digital Signal Processing Workshop. Napa, California. Aug. 13, 2013.
“On Project-Based Learning through the Vertically-Integrated Projects Program,” (VIP lab). The IEEE 2011 International Conference on Frontiers in Education, 2011.
Presentations
N. Sephus. “The Adaptive Ear,” Top 10 Finalist Presentations, 2012 Georgia Tech Research & Innovation Conference (GTRIC). Venture Lab, Atlanta, Georgia. Feb. 27, 2012. Provisional Patent.
N. Sephus and C. Lee. “Audio-Based Video Tagging Using Speaker Modeling: A Preliminary Model,” Women in Machine Learning, co-located with 2010 Neural Information Processing Systems (NIPS) Conference. Vancouver, B.C., Canada. Dec. 6, 2010.
In Preparation
N. H. Sephus, A. D. Lanterman, and D. V. Anderson. "A Framework for Exploiting Modulation Spectral Features in Unsupervised Source Separation in Music,” To be submitted to the Journal of Digital Signal Processing. 2014.
N. H. Sephus, A. D. Lanterman, and D. V. Anderson. "Frequency Modulation Features in the Modulation Spectrum with Application to Vibrato Analysis,” To be submitted to the IEEE Transactions on Audio, Speech, and Language Processing. 2014.