About
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 naïve 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 takes place at NIPS 07 (Whistler, Canada) and spans topics from signal processing and musical structure to the cognition of music and sound. In the first day the workshop provides a forum for cutting edge research addressing the fundamental challenges of modeling the structure of music and analysing its effect on the brain. It also provides 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 focuses 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 target group is of researchers within the fields of (Music) Cognition, Music Technology, Machine Learning, Psychology, Sound Design, Signal Processing and Brain Imaging.
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Uploaded videos:
Part 1: Modeling the Structure of Music and its Effect on the Brain
Introduction to the Workshop
Feb 01, 2008
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3640 Views
Psychoacoustic Influences on the Neural Correlates of music Syntactic Processing
Feb 01, 2008
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5555 Views
Online Learning of Music Preference
Dec 29, 2007
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5060 Views
Linear Programming Boosting for Classification of Musical Genre
Dec 29, 2007
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4363 Views
The Conditionally Independent Voice Model
Dec 29, 2007
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3096 Views
A Generative Model for Rhythms
Feb 01, 2008
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4219 Views
A Maximum Likelihood Approach to Multiple Fundamental Frequency Estimation From ...
Feb 01, 2008
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4813 Views
Finding Musically Meaningful Words by Sparse CCA
Feb 01, 2008
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3134 Views
Can Style be Learned? A Machine Learning Approach Towards ‘Performing’ as Famous...
Feb 01, 2008
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2950 Views
Discovering Music Structure via Similarity Fusion
Feb 01, 2008
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3635 Views
Information Dynamics and the Perception of Temporal Structure in Music
Dec 29, 2007
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6585 Views
Time-Frequency and Synchrony Analysis of Responses to Steady-State Auditory and ...
Dec 29, 2007
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5433 Views
Part 2: Models of Sound and Music Cognition
The Mental Representation of Music: A Neural Darwinist Perspective
Dec 29, 2007
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6116 Views
Measuring and Modeling Musical Expression
Dec 29, 2007
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5194 Views
Project Presentation: Closing the Loop of Sound Evaluation and Design (CLOSED)
Dec 29, 2007
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4229 Views
Project Presentation: Emergent Cognition through Active Perception (EmCAP)
Dec 29, 2007
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4036 Views
Hierarchical Bayesian Models for Audio and Music Processing
Dec 29, 2007
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5441 Views
Hallucinations in Auditory Perception
Dec 29, 2007
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4127 Views
An Auditory Model for the Detection of Perceptual Onsets and Beat Tracking in Si...
Dec 29, 2007
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3322 Views
Modeling Natural Sounds with Modulation Cascade Processes
Feb 01, 2008
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5358 Views
What/When Causal Expectation Modelling in Monophonic Pitched and Percussive Audi...
Feb 01, 2008
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3303 Views
Modeling and Visualizing Tonality in North Indian Classical Music
Feb 01, 2008
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5540 Views
Book-Adaptive and Book-Dependent Models to Accelerate Digitization of Early Musi...
Feb 01, 2008
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6586 Views
Interview
Interview with David Hardoon
Feb 01, 2008
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6297 Views