Sarroff, A. M., & Bello, J. P. (2011). Toward a computational model of perceived spaciousness in recorded music. Journal of the Audio Engineering Society, 59(7/8), 498–513.Link.Details
Conference Proceedings
Sarroff, A. M., & Casey, M. (2014). Musical audio synthesis using autoencoding neural nets. In Joint 40th International Computer Music Conference (ICMC) and 11th Sound & Music Computing conference (SMC).Link.Details
Sarroff, A. M., & Casey, M. (2013). Groove kernels as rhythmic-acoustic motif descriptors. In Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR) (p. 299—304).Link.Details
Sarroff, A. M., Hermans, P., & Bratus. (2013). SOS: Sonify your operating system. In Proceedings of the 10th International Symposium on Computer Music Multidisciplinary Research (pp. 726–733).Link.Details
Sarroff, A. M., & Casey, M. (2012). Modeling and predicting song adjacencies in commercial albums. In Proceedings of the 9th Sound and Music Computing Conference (p. 364—371).Link.Details
Miluzzo, E., Papandrea, M., Lane, N. D., Sarroff, A. M., Giordano, S., & Campbell, A. T. (2011). Tapping into the vibe of the city using VibN, a continuous sensing application for smartphones. In Proceedings of 1st international symposium on From digital footprints to social and community intelligence (pp. 13–18). New York, NY, USA, 2011: SCI’11, ACM.Link.Details
Zhao, Z., Wang, X., Xiang, Q., Sarroff, A. M., Li, Z., & Wang, Y. (2010). Large-scale music tag recommendation with explicit multiple attributes. In Proceedings of the International Conference on Multimedia (pp. 401–410). New York, NY, USA: MM ’10, ACM.Link.Details
Sarroff, A. M., & Bello, J. P. (2009). Predicting the perceived spaciousness of stereophonic music recordings. In Proceedings of the 6th Sound and Music Computing Conference.Link.Details
Sarroff, A. M., & Bello, J. P. (2008). Measurements of spaciousness for stereophonic music. In Audio Engineering Society Convention 125.Details
Other
Sarroff, A. M. (2018). Complex Neural Networks for Audio (PhD thesis). Dartmouth College.Link.Details
Kong, Q., Sarroff, A. M., Topel, S., & Casey, M. (2011). Getting into the groove with hierarchical independent component analysis. In Neural Information Processing Systems (NIPS) Fourth International Workshop on Machine Learning and Music: Learning from Musical Structure.Details
Sarroff, A. M. (2009). Spaciousness in recorded music: Human perception, objective measurement, and machine prediction (Master's thesis). New York University.Link.Details
Sarroff, A. M., Shepardson, V., & Casey, M. A. (2015). Learning representations using complex-valued nets.Link.Details