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Causal Prediction Of Continuous-Valued Music Features

Peter Foster, Anssi Klapuri, Mark D. Plumbley
2011 Zenodo  
Given a stream of observed music feature vectors extracted from an audio signal, we seek to predict future values of feature vectors.  ...  Re-sults indicate that combining the self-distance approach with autoregressive or N-gram models substantially improves the accuracy of predicting continuous-valued music features.  ... 
doi:10.5281/zenodo.1418336 fatcat:logyv3nx35c5voatdn7ux5juqq

Predicting emotions induced by music using system identification theory

Mahdi Khajehim, Sahar Moghimi
2013 2013 20th Iranian Conference on Biomedical Engineering (ICBME)  
We also investigate the causal relationship between musical features and the induced emotions by removing the autoregressive terms from the developed model.  ...  Modeling the emotional content of music is of great importance, since it is believed that music is capable of inducing different emotions.  ...  In the next step we aimed at Investigating the causal relationship between the musical features and the self-evaluated emotions.  ... 
doi:10.1109/icbme.2013.6782182 fatcat:gzkjp6xzsjc73ki6kmep2oufou

Ibt: A Real-Time Tempo And Beat Tracking System

João Lobato Oliveira, Fabien Gouyon, Luis Gustavo Martins, Luís Paulo Reis
2010 Zenodo  
SUMMARY This paper presents IBT, an agent-based tempo and beat tracking system that causally (and non-causally) processes incoming values of a continuous audio feature (e.g. onset detection function).  ...  INTRODUCTION Computational tracking of musical beats from audio signal is a very important feature to automated music analysis.  ... 
doi:10.5281/zenodo.1416469 fatcat:i4m3seayyjck3fiolidzvjbdku

Comparative Time Series Analysis of Perceptual Responses to Electroacoustic Music

Freya Bailes, Roger T. Dean
2012 Music Perception  
features of the music, specifically acoustic measures of intensity and spectral flatness.  ...  Only Information Criteria values for a specific individual data set prediction can be compared; and lower values indicate a better model.  ...  All models, however, are representative of the fit achieved throughout the time series.  ... 
doi:10.1525/mp.2012.29.4.359 fatcat:lhncbe4cxfd7bpxlmmnxlfsk4m

Time Series Analysis as a Method to Examine Acoustical Influences on Real-time Perception of Music

Roger T. Dean, Freya Bailes
2010 Empirical Musicology Review  
) in music are developed, by an extensive application of autoregressive Time Series Analysis (TSA).  ...  Multivariate analyses of dynamic correlations between continuous acoustic properties (intensity and spectral flatness) and real-time listener perceptions of change and expressed affect (arousal and valence  ...  In an information dynamics approach it is assumed that the predictive capacity and decisions of an observer concerning future events in the musical stream are continuously evolving as new information is  ... 
doi:10.18061/1811/48550 fatcat:qww65z3zqfcefhv2iqoisfsnay

Modelling Perception of Structure and Affect in Music: Spectral Centroid and Wishart's Red Bird

Roger T. Dean, Freya Bailes
2011 Empirical Musicology Review  
We find that spectral centroid, like spectral flatness, is not a powerful predictor of real-time responses, though it does show some features that encourage its continued consideration.  ...  with a wide range of approaches in work which is in press and continuing.  ...  it was not successfully able to predict listener perceptions of the music.  ... 
doi:10.18061/1811/51217 fatcat:zcmwogdym5dvnow6b7ub74gnpi

Beat Tracking for Multiple Applications: A Multi-Agent System Architecture With State Recovery

João Lobato Oliveira, Matthew E. P. Davies, Fabien Gouyon, Luís Paulo Reis
2012 IEEE Transactions on Audio, Speech, and Language Processing  
Beats can be predicted in a causal or in a non-causal usage mode, which makes the system suitable for diverse applications.  ...  This system sequentially processes a continuous onset detection function while propagating parallel hypotheses of tempo and beats.  ...  the induction window I, accumulates consecutive frame values of the spectral flux in order to keep an up-to-date continuous function, SF → [0, 2I].  ... 
doi:10.1109/tasl.2012.2210878 fatcat:gtugz6qirzehvhgrsh2krl7khi

Fast and Flexible Neural Audio Synthesis

Lamtharn Hantrakul, Jesse Engel, Adam Roberts, Chenjie Gu, Lamtharn Hantrakul
2019 Zenodo  
High-quality speech synthesis utilizes detailed linguistic features for conditioning, but comparable levels of control have yet to be realized for neural synthesis of musical instruments.  ...  We find the appropriate choice of conditioning features and architectures improves both the quantitative accuracy of audio resynthesis and qualitative responsiveness to creative manipulation of conditioning  ...  We explore a variety of conditioning features and architectures and demonstrate that a WaveRNN-based model driven by timedistributed and fine-scale musical features is capable of synthesizing realistic  ... 
doi:10.5281/zenodo.3527859 fatcat:z2bc6jutqnezzh5urgiyohnxii

Exploring the causal relationships between musical features and physiological indicators of emotion

Wei Huang, Brennon Bortz, R. Benjamin Knapp
2015 2015 International Conference on Affective Computing and Intelligent Interaction (ACII)  
We present some interesting findings on population differences in sensitivity to musical features and in emotional reactions by analyzing 344 valid listening samples of three classical pieces.  ...  In this paper, we propose a novel combination of spectral clustering and cross-correlation analysis that can group people who have similar response patterns to music, and show a causal relationship between  ...  from the Music, Sensors, and Emotion research group; and the support of the Institute for Creativity, Arts, and Technology at Virginia Tech.  ... 
doi:10.1109/acii.2015.7344625 dblp:conf/acii/HuangBK15 fatcat:yzrcmwribbavfcmhbo3qrimfs4

Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory [article]

Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, Ziwei Liu
2022 arXiv   pre-print
Driving 3D characters to dance following a piece of music is highly challenging due to the spatial constraints applied to poses by choreography norms.  ...  Extensive experiments on the standard benchmark demonstrate that our proposed framework achieves state-of-the-art performance both qualitatively and quantitatively.  ...  and relevant music features m 1:T as input, the learned GPT outputs the sequence of actions a 0:T −1 all at once to predict p 1:T .  ... 
arXiv:2203.13055v2 fatcat:rw5ixqeyynevdcsdkcjs7stfka

Model Agnostic Supervised Local Explanations [article]

Gregory Plumb, Denali Molitor, Ameet Talwalkar
2019 arXiv   pre-print
a feature selection method).  ...  First, while it is effective as a black-box explanation system, MAPLE itself is a highly accurate predictive model that provides faithful self explanations, and thus sidesteps the typical accuracy-interpretability  ...  Any opinions, findings and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of DARPA, the National Science Foundation, or any  ... 
arXiv:1807.02910v3 fatcat:edwix6rssvejvglvw5iezkmj6q

Acoustic Intensity Causes Perceived Changes in Arousal Levels in Music: An Experimental Investigation

Roger T. Dean, Freya Bailes, Emery Schubert, Mark W. Greenlee
2011 PLoS ONE  
Listener perceptions of changes in the arousal expressed by classical music have been found to correlate with changes in sound intensity/loudness over time.  ...  causal factor upon continuously perceived arousal in music.  ...  To test whether this relationship is causal, we altered the intensity profiles (on which loudness largely depends [17] ) of several pieces without perturbing other musical features: a Dvorak Slavonic  ... 
doi:10.1371/journal.pone.0018591 pmid:21533095 pmcid:PMC3080387 fatcat:7bu6zmkkgzbkhlpz3u4trflyum

Joint action aesthetics

Staci Vicary, Matthias Sperling, Jorina von Zimmermann, Daniel C. Richardson, Guido Orgs, Jessica Adrienne Grahn
2017 PLoS ONE  
Synchronized movement is a ubiquitous feature of dance and music performance.  ...  Granger causality analyses demonstrate predictive relationships between synchrony, enjoyment ratings and spectator arousal, if audiences form a collectively consistent positive or negative aesthetic evaluation  ...  Specifically, dynamic changes in movement synchrony should predict continuous measures of audience engagement.  ... 
doi:10.1371/journal.pone.0180101 pmid:28742849 pmcid:PMC5526561 fatcat:6hl6p6cmqna23j7dv4r4zmgo7e

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness [article]

Carolyn Ashurst, Ryan Carey, Silvia Chiappa, Tom Everitt
2022 arXiv   pre-print
Additionally, taking a causal perspective, introduced path-specific effects shed light on the issue of when specific paths should be considered fair.  ...  These criteria imply that adding the sensitive attribute as a feature removes the incentive for introduced variation under well-behaved loss functions.  ...  This work was supported in-part by the Leverhulme Centre for the Future of Intelligence, Leverhulme Trust, under Grant RC2015-067.  ... 
arXiv:2202.10816v2 fatcat:uv6lnhxuwfdzvgap2v7lz7trsi

Designing An Expressive Virtual Percussive Instrument

Brian Dolhansky, Andrew McPherson, Youngmoo Kim
2011 Proceedings of the SMC Conferences  
The features used for prediction were: Peak Prediction Causal Velocity Estimate (g) Actual Acc.  ...  Two causal features were used in this prediction and were motivated by the accelerometer pre-study.  ... 
doi:10.5281/zenodo.849911 fatcat:r5xichyitnhflprtp62jfqvsha
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