Some readings on time-frequency analysis
[Some readings on three inter-related but different ideas: (1) signal segmentation, (2) scale space analysis, (3) wavelets. There are literally tens of thousands of books and articles on these topics -- these are a few that I've chosen to illustrate the issues under discussion in this course...]
Witkin, A., 1984, March. "Scale-space filtering: A new approach to multi-scale description." ICASSP 1984.
Lindeberg, Tony. "Scale-space theory: A basic tool for analyzing structures at different scales", Journal of applied statistics 1994.
Zue, Victor, James Glass, Michael Philips, and Stephanie Seneff. "Acoustic segmentation and phonetic classification in the SUMMIT system", ICASSP 1989.
Glass, James R. "A probabilistic framework for segment-based speech recognition", Computer Speech & Language 2003.
Cohen, Michael X. "A better way to define and describe Morlet wavelets for time-frequency analysis", NeuroImage 2019.
Hess-Nielsen, Nikolaj, and Mladen Victor Wickerhauser. "Wavelets and time-frequency analysis", IEEE 1996.
Smith, Leigh M., and Henkjan Honing. "Time–frequency representation of musical rhythm by continuous wavelets", Journal of Mathematics and Music 2008.
(Some lecture notes on edge detection by LoG zero crossings)
Marr, David, and Ellen Hildreth. "Theory of edge detection", Royal Society 1980.
Acharyya, Mausumi, and Malay K. Kundu. "Document image segmentation using wavelet scale-space features", IEEE 2002.
Riley, Michael D. "Speech time-frequency representations, Springer 1989.
Park, Alex S., and James R. Glass. "Unsupervised pattern discovery in speech", IEEE Transactions on Audio, Speech, and Language Processing 16, no. 1 (2007): 186-197.
Hsu, Wei-Ning, Yu Zhang, and James Glass. "Unsupervised learning of disentangled and interpretable representations from sequential data", Advances in neural information processing systems 2017.