Here is some further reading on the theory and practice behind Susurrant.
Johnson-Roberson, C. “Algorithmic Listening in a Networked Soundscape.” UCLA, 2015. Johnson-Roberson, C. “Susurrant: A Tool for Algorithmic Listening in Networked Soundscapes.” Sydney, Australia, 2015.
Crawford, Kate. “Following You: Disciplines of Listening in Social Media.” Continuum 23, no. 4 (August 2009): 525—535. doi:10.1080/10304310903003270. Ihde, Don. Listening and Voice: Phenomenologies of Sound. 2nd Edition. Albany: State University of New York Press, 2007. Maguire, Ryan. “The Ghost in the MP3,” 2014. http://ryanmaguiremusic.com/media_files/pdf/TheGhostICMC.pdf.
Foote, Jonathan, and Shingo Uchihashi. “The Beat Spectrum: A New Approach to Rhythm Analysis.” In ICME, 2001. http://rotorbrain.com/foote/papers/icme2001.pdf. Gómez, Emilia. “Tonal Description of Polyphonic Audio for Music Content Processing.” INFORMS Journal on Computing, Special Cluster on Computation in Music 18 (2006). Nam, Juhan. “Learning Feature Representations for Music Classification.” PhD thesis, Stanford University, 2012. https://ccrma.stanford.edu/~juhan/thesis.html. Shao, Yang et al. “An Auditory-Based Feature for Robust Speech Recognition.” In Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE International Conference on, 4625—4628. IEEE, 2009. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4960661.
Hermann, Thomas, and Andy Hunt, eds. The Sonification Handbook. Berlin: Logos Verlag, 2011. http://sonification.de/handbook/. Williamson, John, and Roderick Murray-Smith. “Granular Synthesis for Display of Time-Varying Probability Densities,” 2004. http://eprints.gla.ac.uk/3043/.
Blei, David M. “Probabilistic Topic Models.” Communications of the ACM 55, no. 4 (2012): 77—84. http://dl.acm.org/citation.cfm?id=2133826. Dietz, Laura. “Modeling Shared Tastes in Online Communities.” In NIPS Workshop on Applications for Topic Models: Text and Beyond, 2009. http://www.umiacs.umd.edu/~jbg/nips_tm_workshop/8.pdf. Shalit, Uri, Daphna Weinshall, and Gal Chechik. “Modeling Musical Influence with Topic Models.” In Proceedings of the 30th International Conference on Machine Learning, 244—252, 2013. http://machinelearning.wustl.edu/mlpapers/papers/shalit13.