ANDY M. SARROFF CURRICULUM VITAE CONTACT ADDRESS 6242 Hallgarten Hall Dartmouth College Hanover, NH 03755 TELEPHONE EMAIL sarroff@cs.dartmouth.edu URL +1 (718) 930-8705 http://www.cs.dartmouth.edu/~sarroff EDUCATION 2011 Present Dartmouth College, Hanover, NH PhD student, Computer Science Department Advisor: Michael Casey 2010 2011 Dartmouth College, Hanover, NH MS student, Computer Science Department 2006 2009 New York University, New York City, Master of Music Music Technology Program Thesis Title: "Spaciousness in recorded music: Human Perception, objective measurement, and machine prediction" Advisor: Juan P. Bello 1996 2000 Wesleyan University, Middletown, CT, Bachelor of Arts in Music SPONSORSHIP, HONORS AND AWARDS July Sept., 2015 November, 2013 March, 2013 Visiting Researcher, LabROSA, Columbia University Invited by Dan Ellis. 2013 Conference for the International Society of Music Information Retrieval Best Reviewer. Travel Grant, NYU Abu Dhabi Rhythm Workshop Competitive grant to participate in cross-disciplinary workshop on musical rhythm computation, cognition, perception, and neuroscience. LAST MODIFIED: MONDAY, FEBRUARY 6, 2017 SARROFF, 1
2011-2012 Neukom Institute for Computational Research, Graduate Fellowship Fellowships awarded for interdisciplinary computational research. 2011-2012 Google Faculty Research Reward Awarded to Michael Casey, supporting research activity in Hash by Groove. May, 2009 May, 2008 Music Technology Student-of-the-Year Award Awarded once a year to one student by the New York University Music Technology program for "outstanding achievement and citizenship." Dean's Grant to Support Graduate Student Research Competitive 1-year grant awarded by the Steinhardt School to outstanding students for sponsored research. RESEARCH EXPERIENCE 2011-present Michael Casey, supervised research. Topics in music computation, including musical information analysis and retrieval; machine learning; machine listening. 2010-2011 Tanzeem Choudhury and Andrew Campbell, Dartmouth College, supervised research. Health related inference through speech analysis on mobile phones. January-July, 2010 Academic Years, 2008-2009 & 2007-2008 Ye Wang, Computer Science Department, School of Computing, National University of Singapore, Research Assistantship Large-scale search and retrieval of music content; music information retrieval for health related applications. Juan P. Bello, New York University, Research Assistantship Machine Listening on the Studio (funded by the Steinhardt Technology Award); objective signal measurements for spaciousness in musical audio; predictive modeling of music perception. WORK EXPERIENCE OCCUPATIONS 2009 Sourcetone, LLC, New York Title: Music Analysis, Classification Research, and Product Development Research in Music Emotion Recognition, including machine learning, classification, and signal analysis. LAST MODIFIED: MONDAY, FEBRUARY 6, 2017 SARROFF, 2
INTERNSHIPS Winter, 2017 Summer, 2011 Summer, 2008 Summers, 2007 & 2008 Mitsubishi Electric Research Laboratory, Cambridge, MA Title: Research Intern, Speech & Audio Team, Hosted By John Hershey and Jonathan Le Roux Derive and implement new models and optimization methods for speech enhancement and source separation in challenging multisource and/or far-field scenarios, using advanced machine learning techniques. Gracenote, Inc., Music Technology Lab, Emeryville, CA Title: Research Intern Source and location invariant characterization of reverberant environments. Sennheiser Electronic Corporation, R&D USA, Palo Alto, CA Title: Audio DSP Engineer Development and implementation of a methodology for the objective evaluation of a new microphone. AuSIM, Inc., Palo Alto, CA Title: Engineer Calibration assistance for the AuSim Vectsonic system for the External Effects Room at NASA Langley Research Laboratory in Hampton, VA. Testing and troubleshooting of a wearable communication system 3DVx and its components, including WiFi radios, orientation trackers, GPS, touch displays, and auditory displays. Development for audio and acoustics products delivered to the U. S. Army Research Lab (ARL) in Aberdeen, MD and McGill University. TEACHING EXPERIENCE 2017 Teaching Assistant Computer Science, Deep Learning 2016 Teaching Assistant Computer Science, Machine Learning and Statistical Data Analysis 2016 Teaching Assistant Computer Science, Software Design and Implementation 2013 2016 Teaching Assistant Computer Science, Programming for Interactive Audio-Visual Arts 2014 Teaching Assistant Computer Science, Introduction to Programming and Computation LAST MODIFIED: MONDAY, FEBRUARY 6, 2017 SARROFF, 3
Academic Years, 2013 2014 Academic Years, 2011 present October 9, 2012 January July, 2010 Academic Year, 2008 2009 Tutorials Workshops on Processing, Dartmouth Digital Laboratory. Lectures and Tutorials to the Dartmouth Machine Learning Reading Group. Lecture to graduate Music class, Latent Components and Non- Negative Matrix Factorization. Teaching Assistant, Computer Science Department, School of Computing, National University of Singapore Designed and taught 3.5 lectures for a new module, Sound and Music Computing. Assisted Dr. Ye Wang in all other matters related to the class (grading, labs, mentoring, etc.). Music Department Tutor, New York University, Music Technology Program Trained students in Matlab programming; digital signal theory and processing; and Music Information Retrieval. PAPERS SARROFF, A.M. AND CASEY, M. Musical audio synthesis using autoencoding neural nets. Joint 40th International Computer Music Conference (ICMC) and 11th Sound & Music Computing conference (SMC) (2014). SARROFF, A.M. AND CASEY, M. Groove kernels as rhythmic-acoustic motif descriptors. In Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR) (2013), pp. 299 304. SARROFF, A. M. HERMANS, P., AND BRATUS, S. SOS: Sonify your operating system. In Proceedings of the 10th International Symposium on Computer Music Multidisciplinary Research (CMMR) (2013), pp. 726 633. SARROFF, A. M. AND CASEY, M. Modeling and predicting song adjacencies in commercial albums. In Proceedings of the 9th Sound and Music Computing Conference (SMC) (2012), pp. 364 371. SARROFF, A. M. AND BELLO, J. P. Toward a computational model of perceived spaciousness in recorded music. Journal of the Audio Engineering Society 59, 7/8 (2011), pp. 498 513. MILUZZO, E., PAPANDREA, M., LANE, N. D., SARROFF, A.M., GIORDANO, S., AND CAMPBELL, A.T. 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 (New York, NY, 2011), SCI 11, ACM, pp. 13 18. ZHAO, Z., WANG, X., XIANG, Q., SARROFF, A. M., LI, Z. AND WANG, Y. Large-scale music tag recommendation with explicit multiple attributes. In Proceedings of International Conference on Multimedia (New York, NY, USA, 2010), MM 10, ACM pp. 401 410. LAST MODIFIED: MONDAY, FEBRUARY 6, 2017 SARROFF, 4
SARROFF, A. M. AND BELLO, J. P. Predicting the perceived spaciousness of stereophonic music recordings. In Proceedings of the 6th Sound and Music Computing Conference (2009). SARROFF, A. M. AND BELLO, J. P. Measurements of spaciousness for stereophonic music. In Audio Engineering Society Convention 125 (2008). PRESENTATIONS Sarroff, A.M., Raffel, C., Casey, M., and Ellis, D.P.W, Framework for Deep and Temporal Complex-Valued Networks, poster presentations in Speech and Audio in the Northeast (SANE) Workshop, 2015. Sarroff, A.M., Shor s Algorithm: Polynomial-Time Algorithms for Prime Factorization and Discrete Logarithms on a Quantum Computer, Research Presentation Exam, Dartmouth Computer Science Department, December 2013. Casey, M. and Sarroff, A.M., Breaking it down: latent shift-invariant convolution kernels for groove-based music retrieval, International Society for Music Information Retrieval Conference, Workshop on Multidisciplinary Aspects of Groove in Music, Porto, Portugal. October, 2012. Kong, Q., Sarroff, A.M., Topel, S., and Casey, M., "Getting Into the Groove with Hierarchical Independent Component Analysis", Neural Information Processing Systems, Workshop on Music Processing, December, 2011. Huq, A., Bello, J.P., Sarroff, A.M., Berger, J., Rowe, R. Sourcetone: An Automated Music Emotion Recognition System. Poster presentation. Tenth International Society for Music Information Retrieval Conference, Kobe, Japan. October 2009. Subjective Evaluation of Spatial Impression in Reproduced Stereophonic Music. Oral presentation. Dean s Grant for Graduate Student Research Colloquium, New York University, NY. October 2009. SERVICE EVENT ORGANIZATION 2015-2017, Board Member, ISMIR (International Society for Music Information Retrieval) 2014, 2015 AV Synthesis Workshop. Organizer for Neukom-funded workshop bringing sonic and visual artists together with computer scientists and engineers. 2013 Hacking Audio and Music Research (HAMR). Organizer for a weekend-long music and audio hackathon targeting undergraduate and graduate students, sponsored by The Neukom Institute. 2012 meeting of the Northeast Music Information Special Interest Group (NEMISIG). Primary organizer of multi-institutional meeting held at Dartmouth College. LAST MODIFIED: MONDAY, FEBRUARY 6, 2017 SARROFF, 5
PEER REVIEW ISMIR 2012 & 2013, referee. Computer Music Journal, referee. ACM Transactions on Multimedia Computing, Communications, and Applications, sub-referee. ACM Multimedia 2010 International Conference, sub-referee. AFFILIATIONS AND LEADERSHIP POSITIONS Student board member, International Society for Music Information Retrieval Dartmouth Machine Learning Reading Group Bregman Music and Auditory Research Studio at Dartmouth NYU Music and Audio Research Laboratory (MARL) New England Music Information Special Interest Group Audio Engineering Society ADDITIONAL INFORMATION MUSIC PRODUCTION Music producer in NYC (recording, mixing and mastering 1999-2007). Greene Street Recording (1999-2001); Mission Sound Recording (2001); Loho Studios (2001); RPM Electronic Sound Studios (2001-2004). Owned and operated production facility as Woodshop Sound (2004 2007), Professional experience in music continues to inform research in computer science. PERCUSSION Played percussion in several bands, releasing two recordings. Studied Samba percussion; South Indian mridangam and vocal percussion (solkattu); Javanese gamelan; and vibraphone. REFERENCES Provided upon request. LAST MODIFIED: MONDAY, FEBRUARY 6, 2017 SARROFF, 6