Professor Michael Casey
Michael Casey is the James Wright Professor of Music, Professor in the Department of Computer Science, and former Chair of the Department of Music (2009-2013) at Dartmouth College. He directs the Bregman Music and Audio Research Studio, a lab investigating the links between acoustic information and neuroscience.
Brain, Music, and Auditory Representational Space (BMARS)
As a scientist and a composer I have developed a deeply inter-disciplinary approach to exploring how humans and machines decode and derive meaning from complex audio-visual phenomena such as music and film. What makes music move us? How do we derive meaning from music and images? What new types of experiences and technologies are possible in the audio-visual domain? What is the future of audio-visual art and music ?
Using a combination of methods from emprical musicology, mathematics, neuroscience, and engineering, the Bregman Research Studio investigates these and many more questions about the nature of audio-visual experience. See the BMARS Research Page for more information.
Sarroff, A., and Casey, M., Musical Audio Synthesis Using Autoencoding Neural Networks, Proceedings of the Joint International Computer Music Conference and Sound and Music Conference 2014, September 2014, Athens, Greece.
Mital, P., Thompson, J., and Casey, M. How Humans Hear and Imagine Musical Scales,Decoding Population Responses Workshop Aug 25th-26th, Dartmouth Center for Cognitive Neuroscience, 2014
Rector, D., and Casey, M., Normative Musicology: Automatic Tonal Induction, Poster presented at Milestones in Music Cognition Workshop, July 2014, McGill U., Montreal, Ca.
Tompson, J., and Casey, M., Reconstructing musical audio features from continuous single-trial EEG, The Neurosciences and Music-V, Cognitive Stimulation and Rehabilitation, Grand Théatre and Palais des Ducs, June 2014, Dijon, France.
Casey, M., and Williams, M., Exploring Film Auteurship with the ACTION toolbox, Society for Cinema and Media Studies (SCMS'14), Mar 2014, Seattle, WA.
Casey, M., Decoding Absolute and Relative Pitch Imagery in the Auditory Pathway, Dartmouth Center for Cognitive Neuroscience, January, 2014. [Online Video]
Stoll, T., and Williams, M., Casey, M., Action: Cross-modal cinematics for analyzing the joint audio-visual structure of film,Digital Music Research Network Conference (DMRN+8), Dec. 2013, London, UK
J. Thompson, M. Casey, and L. Torresani, Audio stimulus reconstruction using multi- source semantic embedding, in Neural Information Processing Systems (NIPS) workshop on Machine Learning and Interpretation in Neuroimaging (MLINI), Dec 2013. Lake Tahoe, USA.
Sarroff, A., and Casey, M., Groove Kernels as Rhythmic-Acoustic Motif Descriptors, in Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR 2013), Curitiba, Brazil. November, 2013.
Fan, J., and Casey, M., Predicting Neural FMRI Response to Rich Music Stimuli with Auditory Dissonance Features, Poster, North-East Music Informatics Special Interest Group, Somerville, MA, 2013.
Fan, J., and Casey, M., Study of Chinese and UK Hit Song Prediction, in Proceedings of Computer Music Multidisciplinary Research (CMMR), Marseilles, France, October 2013.
Thompson, J. and Casey, M., Music information retrieval from neurological signals: Towards neural population codes for music, Society for Music Perception and Cognition, Aug 2013, Toronto, CA
Sievers, B., Polansky, L, Casey, M., and Wheatley, T., Music and Movement Share A Common Dynamic Strucure That Supports Universal Expressions of Emotion, Proceedings of the National Academy of Sciences (PNAS). December 2012.
Casey, M., Thompson, J., Kang, O., Raizada, R., Wheatley, T., Musical Timbre Population Codes in Bilateral STS for Classification of Music Genres, Lecture Notes in Artificial Intelligence LNAI 7263, Surveys of the State of the Art, Machine Learning and Interpretation in Neuroimaging (MLINI), Springer 2012.
Thompson, J., Torresani, L., Casey, M., Musical neurosemantic decoding using probabilistic online weighted approximate-rank loss optimization in a joint semantic space, 2nd NIPS workshop on Machine Learning and Interpretation in Neuroimaging, Lake Taho, NV, Dec. 2012
Thompson, J., Casey, M., Torresani, L., Predicting Last.fm Tags from Brain Activity, 2nd Workshop on Cognitively Based Music Informatics Research, Toronto, Aug 2012
Sarroff, A., and Casey, M., Modeling and Predicting Song Adjacencies in Commercial Albums, Proceedings of the International Conference on Sound and Music Computing (SMC 2012), Copenhagen, DK.
Ben Fields, Kurt Jacobson, Christophe Rhodes, Mark d’Inverno, Mark Sandler, Michael Casey, Analysis and Exploitation of Musician Social Networks for Recommendation and Discovery, IEEE Transactions on Multimedia, 13(4), pp.675-686. February 2011.
Kong, Q., Sarroff, A., Topel, S., and Casey, M., Getting Into the Groove with Hierarchical Independent Component Analysis, Neural Information Processing Systems, Workshop on Music and Machine Learning, December, 2011.
Casey, M., Thompson, J., Kang, O., Raizada, R., Wheatley, T., Population Codes Representing Musical Timbre for High-Level Music Classification, Neural Information Processing Systems, 1st Workshop on Machine Learning and Interpretation of Neuroimaging, December, 2011.
Mattek, M., and Casey, M., Cross Modal Aesthetics: A Feature-Based Investigation, Proceedings of the International Society for Music Information Retrieval, Miami, October 2011
Topel, S., and Casey, M., Elementary Sources: Compositional Applications of Probabilistic Latent Component Analysis, Proc. International Society for Music Information Retrieval, Miami, October 2011
Rhodes, C., Crawford, T., Casey, M, Investigating Music Collections at Different Scales with AudioDB. Journal of New Music Research, 39, 2010.
Casey, M. and Topel, S., Timbre-Based Percussive Rhythm Classification and Retrieval, Proceedings of the International Society for Music Information Retrieval Conference, Utrecht, NL, 2010.
Casal, D., and Casey, M., Decomposing Autumn: A component-wise Recomposition, Proceedings of the International Computer Music Conference (ICMC) 2012, NYC, June 2010
Casey, M., iMatsh – Automatic Mashup for Mobile Phones and Personal Media Devices, University Research and Entrepreneurship Conference (URES2010), Cambridge, MA, April 2010.
Fields, B., Jacobson, K., Rhodes, C., Casey, M. and Sandler, M, Analysis and Exploitation of Musician Social-Networks for Recommendation and Retrieval, IEEE Themes workshop, International Conference on Acoustics, Speech and Signal Processing, August 2010
Casey, M., Soundspotting: a new kind of process?, in Roger Dean (ed.) The Oxford Handbook of Computer Music and Audio Culture, Oxford University Press, 2009
Casey, M., Audio Tools for Music Discovery, in Digital Research in the Arts and Humanities, T. Crawford (Ed.) Ashgate: London, 2009
Proutskova, P. and Casey, M., You Call That Singing? Automatic Classification of Ethnomusicological Recordings, International Society for Music Information Retrieval (ISMIR), Kobe, Japan, 2009
Slaney M. and Casey M., Music Information Retrieval at the Scale of the Web, International Conference on Music Information Retrieval, , Japan, 2009
Casey, M., Rhodes, C. and Slaney, M., Analysis of Minimum Distances in High Dimensional Musical Spaces, IEEE Transactions on Acoustics, Speech and Language Processing, 16(5), July 2008.
Casey, M., Veltkamp, R., Goto, M., Leman, M., Rhodes, C. and Slaney, M., Content-based Music Information Retrieval: Current Directions and Future Challenges, Journal: Proceedings of the IEEE , 96(5), April 2008.
Slaney, M. and Casey, M., Locality Sensitive Hashing for Finding Nearest Neighbours, IEEE Signal Processing Magazine, 25(2), March 2008.
Casey, M., AudioDB: Scalable approximate nearest-neighbor search with automatic radius-bounded indexing., 156th Meeting of the Acoustical Society of America, Miami, 2008.
Fields, B., Jacobson, K., Casey, M., Sandler, M. , Do you sound like your friends? Exploring artist similarity via artist social network relationships and audio signal processing, Proc. of ICMC, Belfast, Aug. 2008.
Magas, M., Casey, M. and Rhodes, C., mHashup: fast visual music discovery via locality sensitive hashing, ACM SIGGRAPH, LA, USA, Aug. 2008.
Jacobson, K., Fields, B., Sandler, M., Casey, M. , The Effects of Lossy Audio Encoding on Genre Classification Tasks, 124th AES Convention, Amsterdam, Netherlands, May, 2008.
Casey, M., Fields, B., Jacobson, K. and Rhodes, C., Social Playlists and Bottleneck Measurements International Conference on Music Information Retrieval (ISMIR), Philadelphia, 2008.
Rhodes, C., Casey, M., d'Inverno, M., Knopke, I., Magas, M. and Slaney, M., Dark Media Navigation With the AudioDB Search System, to International Conference on Music Information Retrieval (ISMIR), 2008.
Jacobson, K, Fields, B., Casey, M. Sandler, M., Using audio analysis and network structure to identify communities in on-line social networks of artists, International Conference on Music Information Retrieval (ISMIR), 2008.
Rhodes, C. and Casey, M., Algorithms for Determining and Labelling Approximate Hierarchical Self-Similarity, in Proceedings of the International Conference on Music Information Retrieval, Vienna, Austria, 2007.
Mauch, M., Dixon, S., Harte, C., Casey, M. and Fields, B., Discovering Chord Idioms Through Beatles and Real Book Songs, in Proceedings of the International Conference on Music Information Retrieval, Vienna, Austria, 2007.
Casey, M. and Grierson, M., Soundspotter and Remix-TV: Fast Approxmate Matching for Audio-Visual Performance, in Proceedings of the International Computer Music Conference, Copenhagen, Denmark, 2007.
Casey, M. and Slaney, M., Fast Recognition of Remixed Music Audio, submitted to IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), HI, USA, May 2007
Abdallah, S., Casey, M., Noland, K., Sandler, M. and Rhodes, C., Using Duration Models to Reduce Fragmentation in Audio Segmentation. Journal of Machine Learning Research, special issue on Machine Learning for Music, November 2006
Casey, M. and Slaney, M., Song Intersection by Approximate Nearest Neighbour Retrieval, Proc. International Conference on Music Information Retrieval (ISMIR), Victoria, BC, Oct. 2006
Casey, M. and Slaney, M., The Importance of Sequences in Music Similarity, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, May 2006
Levy, M., Sandler, M. and Casey, M., Extraction of High Level Musical Structure from Audio Data, Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Toulouse, France, May 2006
Abdallah, S., Casey, M., Noland, K., Sandler, M. and Rhodes, C., Theory and Evaluation of a Baysian Music Structure Extractor, Proc. International Conference on Music Information Retrieval (ISMIR), London, UK, Sept. 2005
Casey, M. (2010) United States Patent Application Method for Automatically Analysing and Remixing Multimedia Content using Embedded Computational Devices
Casey, M. (2001) United States Patent 6,321,200 Method for extracting features from a mixture of signals(Granted 2003)
Smaragdis, P. and Casey, M. (2003) United States Patent 7,218,755 Detecting temporally related components of multi-modal signals (Granted 2007)
Casey, M. (2001) United States Patent Application 20010044719 Method and system for recognizing, indexing, and searching acoustic signals
Wolf, P. and Casey, M., (2002) United States Patent Application 20040064306 Voice activated music playback system
Divakaran, A., Radhakrishnan, R. and Casey, M. (2002) United States Patent Application 20040008789 Audio-assisted video segmentation and summarization
I studied music composition with Cedric Carnall at the Lutterworth Grammar School and then studied electro-acoustic music with Denis Smalley at the University of East Anglia, UK; Jon Appleton, Kathryn Alexander, and Larry Polansky at Dartmouth College, USA; and Tod Machover and Barry Vercoe at the MIT Media Lab, USA. I have received two international prizes and my works which appear on two CDs published by the Media Laboratory at MIT.
In 1984, at the age of 16, I wrote my first commercial computer program, in 6502 assembly language, to analyze and predict premier league soccer results for Ken Flood, a local entrepreneur. After receiving my doctorate from MIT I became a research scientist at the MERL computer science laboratory in Cambridge, MA (1999), Professor of Computer Science at the Unversity of London's Goldsmiths College (2004), and Professor of Music and Computer Science at Dartmouth (2008-). From 2009-2013 I was Chair of the Department of Music and 2011-2013 I was co-chair of the Year of the Arts initivative.
Content Copyright (C) 2013 Michael A. Casey, All Rights Reserved.