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Causal Prediction Of Continuous-Valued Music Features
2011
Zenodo
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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
2013
2013 20th Iranian Conference on Biomedical Engineering (ICBME)
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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
2010
Zenodo
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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
2012
Music Perception
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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
2010
Empirical Musicology Review
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) 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
2011
Empirical Musicology Review
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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
2012
IEEE Transactions on Audio, Speech, and Language Processing
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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
2019
Zenodo
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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
2015
2015 International Conference on Affective Computing and Intelligent Interaction (ACII)
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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]
2022
arXiv
pre-print
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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]
2019
arXiv
pre-print
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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
2011
PLoS ONE
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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
2017
PLoS ONE
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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]
2022
arXiv
pre-print
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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
2011
Proceedings of the SMC Conferences
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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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