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Visualizing music similarity: clustering and mapping 500 classical music composers

Patrick Georges, Ngoc Nguyen
2019 Scientometrics  
The objective is to visualize or translate the similarity matrix into dendrograms and maps of classical (European art) music composers.  ...  This paper applies clustering techniques and multi-dimensional scaling (MDS) analysis to a 500 × 500 composers' similarity/distance matrix.  ...  Smith for providing access to the data collected in the Classical Music Navigator for this project. We also benefited from discussions and comments by C.H. Smith on the initial stage of the project.  ... 
doi:10.1007/s11192-019-03166-0 fatcat:bfdjb2l74rhydhuepkrrhxbr6y

Visual exploration of latent space for traditional Chinese music

Jingyi Shen, Runqi Wang, Han-Wei Shen
2020 Visual Informatics  
Through interactive selection, similarity calculation, clustering and listening, we show that the latent representations of the encoded data allow our system to identify essential music elements, which  ...  To bridge this gap, we propose a visual analysis system utilizing Autoencoders to facilitate analysis and exploration of traditional Chinese music.  ...  Besides, it's noticeable that a majority of MIR tasks are focused on western music, especially pop music and western classical.  ... 
doi:10.1016/j.visinf.2020.04.003 fatcat:5atkcre6bza6babnfri456djfu

Measuring Structural Similarity in Music

Juan P. Bello
2011 IEEE Transactions on Audio, Speech, and Language Processing  
, and thus concentrate on segmenting and clustering sections.  ...  and robust alternative to common approaches in music similarity research.  ...  , the organization and visualization of music collections, etc.  ... 
doi:10.1109/tasl.2011.2108287 fatcat:dltbsl2vpbfu7e26gwurcta37q

Time-Frequency Scattering Accurately Models Auditory Similarities Between Instrumental Playing Techniques [article]

Vincent Lostanlen, Christian El-Hajj, Mathias Rossignol, Grégoire Lafay, Joakim Andén, Mathieu Lagrange
2020 arXiv   pre-print
Instrumental playing techniques such as vibratos, glissandos, and trills often denote musical expressivity, both in classical and folk contexts.  ...  In addition, we propose a machine listening model to recover the cluster graph of auditory similarities across instruments, mutes, and techniques.  ...  We also wish to thank the students of the Paris Conservatory and all anonymous participants to our study.  ... 
arXiv:2007.10926v2 fatcat:54efqx4xbvcj5befxjb5ejfhr4

Power Law Behavior and Self-Similarity in Modern Industrial Accidents

António M. Lopes, J. A. Tenreiro Machado
2015 International Journal of Bifurcation and Chaos in Applied Sciences and Engineering  
The complex systems under analysis are then compared in a global perspective in order to unveil and visualize hidden relationships among them.  ...  This paper analyzes several natural and man-made complex phenomena in the perspective of dynamical systems.  ...  Acknowledgments The authors acknowledge the inspiration of the paintings 'The Persistence of Memory' (http://en.wikipedia. org/wiki/The_Persistence_of_Memory) and 'The Disintegration of the Persistence  ... 
doi:10.1142/s0218127415500042 fatcat:zdigyd57kbgo5f7fhnium2trou

Time–frequency scattering accurately models auditory similarities between instrumental playing techniques

Vincent Lostanlen, Christian El-Hajj, Mathias Rossignol, Grégoire Lafay, Joakim Andén, Mathieu Lagrange
2021 EURASIP Journal on Audio, Speech, and Music Processing  
AbstractInstrumentalplaying techniques such as vibratos, glissandos, and trills often denote musical expressivity, both in classical and folk contexts.  ...  In addition, we propose a machine listening model to recover the cluster graph of auditory similarities across instruments, mutes, and techniques.  ...  We also wish to thank the students of the Paris Conservatory and all anonymous participants to our study.  ... 
doi:10.1186/s13636-020-00187-z pmid:33488686 pmcid:PMC7801324 fatcat:5tmi3yteuffvjcfon5gedecefe

Learning Video Embeddings for Similarity Computation

Marc Bravin
2021 Zenodo  
It allows users to upload short videos of up to 60 seconds and enrich them with music, filters, and other features.  ...  It allows to learn visual and audio embeddings simultaneously by aligning both modalities.  ...  An autoencoder model is composed of an encoder and a decoder network.  ... 
doi:10.5281/zenodo.4672494 fatcat:tior7tzs7jfhvdvgyu3hk2dbju

Arousal Rules: An Empirical Investigation into the Aesthetic Experience of Cross-Modal Perception with Emotional Visual Music

Irene Eunyoung Lee, Charles-Francois V. Latchoumane, Jaeseung Jeong
2017 Frontiers in Psychology  
Emotional visual music is a promising tool for the study of aesthetic perception in human psychology; however, the production of such stimuli and the mechanisms of auditory-visual emotion perception remain  ...  In Experiment 1, we suggested a literature-based, directive approach to emotional visual music design, and inspected the emotional meanings thereof using the self-rated psychometric and electroencephalographic  ...  Gajaebal, visual music artist for "A4V4" and "A5V5"), and Jiyun Shin, Soyun Song, and Seongmin for assisting with the researching the production guidelines for visual music content.  ... 
doi:10.3389/fpsyg.2017.00440 pmid:28421007 pmcid:PMC5379063 fatcat:mi4inln53bge3c2e4sriml66wy

Spatial Attention Evokes Similar Activation Patterns for Visual and Auditory Stimuli

David V. Smith, Ben Davis, Kathy Niu, Eric W. Healy, Leonardo Bonilha, Julius Fridriksson, Paul S. Morgan, Chris Rorden
2010 Journal of Cognitive Neuroscience  
Collectively, these results suggest that the neural mechanisms supporting spatial attention are largely similar across both visual and auditory modalities. ■  ...  Here we examined whether a similar network is involved for auditory stimuli. We used sparse fMRI to infer brain activation while participants performed analogous visual and auditory tasks.  ...  As illustrated in Figure 3 , we see a pattern similar to the classic attentional network used for visual attention.  ... 
doi:10.1162/jocn.2009.21241 pmid:19400684 pmcid:PMC2846529 fatcat:3die2vzc6bbijjab3b34fvpmzq

Social-Aware Device-to-Device Offloading Based on Experimental Mobility and Content Similarity Models

Lynn Aoude, Zaher Dawy, Sanaa Sharafeddine, Karim Frenn, Karim Jahed
2018 Wireless Communications and Mobile Computing  
Yet, for any two mobile users to share data efficiently and reliably via D2D links, they should be in close proximity for long enough period of time, share similar content interests, and have some level  ...  of incentive and trust to cooperate.  ...  ) 67.74% Videos Short humor clips/stand-up comedy 58.06% Music Videos 25.81% Music Blues and Jazz/Classical 48.39% Rock/R&B/Rap/Hip-Hop 45.16% Arabic music 41.94% Movies Comedy 80.65%  ... 
doi:10.1155/2018/5606829 fatcat:arwgtxawkrg3njdf5mbaesfz5q

Adaptive Mapping of Sound Collections for Data-driven Musical Interfaces

Gerard Roma, Owen Green, Pierre Alexandre Tremblay
2019 Zenodo  
Descriptor spaces have become an ubiquitous interaction paradigm for music based on collections of audio samples.  ...  Our experiments signal the potential of unsupervised algorithms for creating data-driven musical interfaces.  ...  In general, we observed that, compared with CataRT [16] , the resulting visualizations produce more meaningful clusters, and perceptually similar sounds were placed together.  ... 
doi:10.5281/zenodo.3672975 fatcat:ufxzj37egza4bgxg3utnaatrbq

Visualizing Graphs and Clusters as Maps

Emden R Gansner, Yifan Hu, Stephen G Kobourov
2010 IEEE Computer Graphics and Applications  
However, these traditional methods often do not capture well the underlying structural information, clustering, and neighborhoods.  ...  In this paper, we describe GMap, a practical algorithmic framework for visualizing relational data with geographiclike maps.  ...  The Horrors The Troggs The Stranglers The Specials The Dead 60s The Acknowledgments We would like to thank Stephen North for helpful discussions, and Carlos Scheidegger for help with the image process  ... 
doi:10.1109/mcg.2010.101 pmid:24807898 fatcat:udhieavvrvhrdgkabmkdw5iite

Exploring the foundations of tonality: statistical cognitive modeling of modes in the history of Western classical music

Daniel Harasim, Fabian C. Moss, Matthias Ramirez, Martin Rohrmeier
2021 Humanities and Social Sciences Communications  
: a geometric model of modes as clusters of musical pieces in a non-Euclidean space, and a cognitively plausible Bayesian model of modes as Dirichlet distributions.  ...  AbstractTonality is one of the most central theoretical concepts for the analysis of Western classical music.  ...  We want to express our ARTICLE HUMANITIES AND SOCIAL SCIENCES COMMUNICATIONS | https://doi.org/10.1057/s41599-020-00678-6  ... 
doi:10.1057/s41599-020-00678-6 fatcat:kiym2mk4szh2vcrhrevs7dljgy

Early neuronal responses in right limbic structures mediate harmony incongruity processing in musical experts

Clara E. James, Juliane Britz, Patrik Vuilleumier, Claude-Alain Hauert, Christoph M. Michel
2008 NeuroImage  
These results go beyond previous work demonstrating that musical training can change activity of sensory and motor areas during musical or audio-motor tasks, and suggest that functional plasticity in right  ...  If such a reaction is due to neuroplasticity as a consequence of musical training, it should be correlated with distinctive activations in sensory, motor and/ or cognitive function related brain areas  ...  Acknowledgments We thank Emmanuel Bigand for his advices on the nature of the musical incongruencies and Nicolaas Ravenstijn (nico.ravenstijn@ filiuscorvi.nl/www.filiuscorvi.com) for the compositions.  ... 
doi:10.1016/j.neuroimage.2008.06.025 pmid:18640279 fatcat:quej2nlq2zhvnihilfrys5mfse

Representation Learning for Efficient and Effective Similarity Search and Recommendation [article]

Casper Hansen
2021 arXiv   pre-print
The contributions are empirically validated on several tasks related to similarity search and recommendation.  ...  similarity computations in an appropriate space.  ...  ., classical music); the projection of each query on the dimension corresponds to the strength of importance, and the projection of each item on the dimension corresponds to how much the item scores on  ... 
arXiv:2109.01815v1 fatcat:tlq2uweeebde5gmi56ubm6rttm
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