Journal Articles

  1. 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

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. 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
  7. 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
  8. Sarroff, A. M., & Bello, J. P. (2008). Measurements of spaciousness for stereophonic music. In Audio Engineering Society Convention 125. Details


  1. Sarroff, A. M. (2018). Complex Neural Networks for Audio (PhD thesis). Dartmouth College. Link. Details
  2. 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
  3. Sarroff, A. M. (2009). Spaciousness in recorded music: Human perception, objective measurement, and machine prediction (Master's thesis). New York University. Link. Details
  4. Sarroff, A. M., Shepardson, V., & Casey, M. A. (2015). Learning representations using complex-valued nets. Link. Details