Subject: Music, Brain & Cognition workshop at NIPS 07 From: Dan Ellis <dpwe@xxxxxxxx> Date: Thu, 23 Aug 2007 10:26:32 -0400 List-Archive:<http://lists.mcgill.ca/scripts/wa.exe?LIST=AUDITORY>Dear List Members - Enclosed is an announcement for an interesting workshop this December at NIPS. [I am resending this because the presence of a single non- ascii character (the diaresis in "naive") caused my message to be unreadable for some list members... computers being too clever again.] Best, DAn. ---------- Forwarded message ---------- From: David R. Hardoon <D.Hardoon@xxxxxxxx> Date: Aug 22, 2007 12:19 PM Subject: NIPS 07 Workshop announcement Apologies for cross posting and please forward to whom ever this may be of interest to. NIPS'07 Workshop - Whistler, BC, December 7-8, 2007 Music, Brain & Cognition Day 1: "Learning the Structure of Music and its Effects on the Brain" Day 2: "Models of Sound and Music Cognition" ====================================================== http://homepage.mac.com/davidrh/MBCworkshop07/ Call for contributions ------------ We call for paper contribution of up to 8 pages to the workshop using NIPS style. The accepted papers will be available for downloading from this site. Selected papers will be considered for publication in a special issue of "Journal of New Music Research". Day 1 - Machine learning based models for learning the structure of music - Models for predicting style of performers - Analysis and models of fMRI/EEG/MEG scans from musical stimuli (as opposed tosimplistic auditory stimuli) - Predicting music generated patterns in fMRI/EEG/MEG - Strategies for embedding representations of musical experience into generative music / performance systems - Methods for generative musical performance and composition - Generative music and/or performance systems based on models of brain functioning - Similar and further models for learning and analysing the structure of music Day 2 - Computational models of cognitively inspired sound processing - Top down control of musical processing of pitch, onset, timbre - Models of musical memory, saliency, attention - Models of music development and learning - Computer aided sound design - Models as above, applied to other domains (e.g. speech and vision) with potential application in music Accepted papers will be either presented as a talk or poster (with poster spotlight) Papers should be submitted to the organisers D.Hardoon@xxxxxxxx, hpurwins@xxxxxxxx and please indicate if you wish to present on day 1 or day 2 and whether you only wish to present a poster. Important Dates ------------ Deadline for submissions: October 10, 2007 Notification of acceptance: October 31, 2007 Workshop taking place: December 7-8, 2007 Description ------------ Music is one of the most widespread of human cultural activities, existing in some form in all cultures throughout the world. The definition of music as organised sound is widely accepted today but a naive interpretation of this definition may suggest the notion that music exists widely in the animal kingdom, from the rasping of crickets' legs to the songs of the nightingale. However, only in the case of humans does music appear to be surplus to any obvious biological purpose, while at the same time being a strongly learned phenomenon and involving significant higher order cognitive processing rather than eliciting simple hardwired responses. A two day workshop will take place at NIPS 07 (Vancouver, Canada) and will span topics from signal processing and musical structure to the cognition of music and sound. In the first day the workshop will provide a forum for cutting edge research addressing the fundamental challenges of modeling the structure of music and analysing its effect on the brain. It will also provide a venue for interaction between the machine learning and the neuroscience/brain imaging communities to discuss the broader questions related to modeling the dynamics of brain activity. During the second day the workshop will focus on the modeling of sound, music perception and cognition. These have provide, with the crucial role of machine learning, a break-through in various areas of music technology, in particular: Music Information Retrieval (MIR), expressive music synthesis, interactive music making, and sound design. Understanding of music cognition in its implied top-down processes can help to decide which of the many descriptors in MIR are crucial for the musical experience and which are irrelevant. The organisers of the workshop are investigators for three main European projects; Learning the Structure of Music (Le StruM), Closing the loop of Evaluation and Design (CLOSED), Emergent Cognition through Active Perception (EmCAP) Mention. The target group is of researchers within the fields of (Music) Cognition, Music Technology, Machine Learning, Psychology, Sound Design, Signal Processing and Brain Imaging. For more details, please go to http://homepage.mac.com/davidrh/MBCworkshop07/ Day 1 - http://homepage.mac.com/davidrh/MBCworkshop07/Day_1.html Day 2 - http://homepage.mac.com/davidrh/MBCworkshop07/Day_2.html Organisers ------------ Day 1 * David R. Hardoon (University College London) * Eduardo Reck-Miranda (University of Plymouth) * John Shawe-Taylor (University College London) Day 2 * Hendrik Purwins (Universitat Pompeu Fabra) * Xavier Serra (Universitat Pompeu Fabra) * Klaus Obermayer (Berlin University of Technology) ---------------------------------------------------------------------- "Who dares... wins" Dr. David R. Hardoon The Centre for Computational Statistics & Machine Learning Intelligent Systems Research Group Dept. of Computer Science University College, London Gower Street London, UK WC1E 6BT Tel: +44 (0) 20 7679 0425 Fax: +44 (0) 20 7387 1397 Email: D.Hardoon@xxxxxxxx www: http://homepage.mac.com/davidrh/