Search results for "Musical features"

showing 10 items of 11 documents

On application of kernel PCA for generating stimulus features for fMRI during continuous music listening

2017

Abstract Background There has been growing interest towards naturalistic neuroimaging experiments, which deepen our understanding of how human brain processes and integrates incoming streams of multifaceted sensory information, as commonly occurs in real world. Music is a good example of such complex continuous phenomenon. In a few recent fMRI studies examining neural correlates of music in continuous listening settings, multiple perceptual attributes of music stimulus were represented by a set of high-level features, produced as the linear combination of the acoustic descriptors computationally extracted from the stimulus audio. New method fMRI data from naturalistic music listening experi…

AdultMaleComputer scienceCognitive Neurosciencemedia_common.quotation_subjectSpeech recognitionmusiikkiSensory systemStimulus (physiology)ta3112050105 experimental psychologyKernel principal component analysisnaturalistic fMRImusic stimulusYoung Adult03 medical and health sciencestoiminnallinen magneettikuvaus0302 clinical medicineRhythmNeuroimagingPerceptionHumans0501 psychology and cognitive sciencesActive listeningmedia_commonBrain MappingPrincipal Component AnalysisNeural correlates of consciousnessGeneral Neuroscience05 social sciencesfunctional magnetic resonance imaging (fMRI)feature generationkernel PCABrainMagnetic Resonance Imagingta6131Auditory PerceptionFemaleärsykkeetMusic030217 neurology & neurosurgerymusical featuresJournal of Neuroscience Methods
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Feature selection for classification of music according to expressed emotion

2009

ominaisuudetfeature selectionoverfittingtunteetmusiikkimusical emotionswrapper selectioncross-indexingmusical featuresluokitus
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The reliability of continuous brain responses during naturalistic listening to music

2015

Low-level (timbral) and high-level (tonal and rhythmical) musical features during continuous listening to music, studied by functional magnetic resonance imaging (fMRI), have been shown to elicit large-scale responses in cognitive, motor, and limbic brain networks. Using a similar methodological approach and a similar group of participants, we aimed to study the replicability of previous findings. Participants' fMRI responses during continuous listening of a tango Nuevo piece were correlated voxelwise against the time series of a set of perceptually validated musical features computationally extracted from the music. The replicability of previous results and the present study was assessed b…

MalePoison controlBrain mappingNOISE0302 clinical medicineInterclass correlationMusical featuresBrain Mappingmedicine.diagnostic_testResearch Support Non-U.S. Gov't05 social sciencesBrainCognitionReliabilityMagnetic Resonance ImaginghumanitiesVARIABILITYNeurologyNEUROSCIENCEFMRIta6131Naturalistic paradigmAuditory PerceptionFemaleTEST-RETEST RELIABILITYPsychologypsychological phenomena and processesCognitive psychologyAdultCognitive NeuroscienceLATERALIZATIONbehavioral disciplines and activitiesta3112050105 experimental psychologyLateralization of brain function03 medical and health sciencesTIMBREYoung AdultWORKING-MEMORYmedicineJournal ArticleHumans0501 psychology and cognitive sciencesActive listeningSet (psychology)ATTENTIONReproducibility of ResultsDice coefficientFunctional magnetic resonance imaging (fMRI)Acoustic StimulationFunctional magnetic resonance imagingNeuroscienceTimbrehuman activities030217 neurology & neurosurgeryMusicAUDITORY-CORTEXNeuroImage
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On application of kernel PCA for generating stimulus features for fMRI during continuous music listening

2018

Background There has been growing interest towards naturalistic neuroimaging experiments, which deepen our understanding of how human brain processes and integrates incoming streams of multifaceted sensory information, as commonly occurs in real world. Music is a good example of such complex continuous phenomenon. In a few recent fMRI studies examining neural correlates of music in continuous listening settings, multiple perceptual attributes of music stimulus were represented by a set of high-level features, produced as the linear combination of the acoustic descriptors computationally extracted from the stimulus audio. New method fMRI data from naturalistic music listening experiment were…

music stimulustoiminnallinen magneettikuvausfunctional magnetic resonance imaging (fMRI)feature generationmusiikkikernel PCAärsykkeetnaturalistic fMRImusical features
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Musical Feature and Novelty Curve Characterizations as Predictors of Segmentation Accuracy

2017

Novelty detection is a well-established method for analyzing the structure of music based on acoustic descriptors. Work on novelty-based segmentation prediction has mainly concentrated on enhancement of features and similarity matrices, novelty kernel computation and peak detection. Less attention, however, has been paid to characteristics of musical features and novelty curves, and their contribution to segmentation accuracy. This is particularly important as it can help unearth acoustic cues prompting perceptual segmentation and find new determinants of segmentation model performance. This study focused on spectral, rhythmic and harmonic prediction of perceptual segmentation density, whic…

musiikkiennustettavuusnovelty curvesnotation (music)sävellajitrytminovelty detectionmusical features
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Groove as a multidimensional participatory experience

2023

Groove is a popular and widely used concept in the field of music. Yet, its precise definition remains elusive. Upon closer inspection, groove appears to be used as an umbrella term with various connotations depending on the musical era, the musical context, and the individual using the term. Our aim in this article was to explore different definitions and connotations of the term groove so as to reach a more detailed understanding of it. Consequently, in an online survey, 88 participants provided free-text descriptions of the term groove. A thematic analysis revealed that groove is a multifaceted phenomenon, and participants’ descriptions fit into two main categories: music- and experience…

immersionosallistaminengroovemusiikkisocial connectionmusiikkipsykologiathematic analysismovementliikepositive affectmusical features
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Multi-Scale Modelling of Segmentation : Effect of Music Training and Experimental Task

2016

While listening to music, people, often unwittingly, break down musical pieces into constituent chunks such as verses and choruses. Music segmentation studies have suggested that some consensus regarding boundary perception exists, despite individual differences. However, neither the effects of experimental task (i.e. realtime vs annotated segmentation), nor of musicianship on boundary perception are clear. Our study assesses musicianship effects and differences between segmentation tasks. We conducted a real-time task experiment to collect segmentations by musicians and non-musicians from 9 musical pieces; in a second experiment on non-realtime segmentation, musicians indicated boundaries …

segmentation modellingmusic segmentationsegmentation taskmusic trainingmusical features
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Emotional expression in music: contribution, linearity, and additivity of primary musical cues

2013

The aim of this study is to manipulate musical cues systematically to determine the aspects of music that contribute to emotional expression, and whether these cues operate in additive or interactive fashion, and whether the cue levels can be characterized as linear or non-linear. An optimized factorial design was used with six primary musical cues (mode, tempo, dynamics, articulation, timbre, and register) across four different music examples. Listeners rated 200 musical examples according to four perceived emotional characters (happy, sad, peaceful, and scary). The results exhibited robust effects for all cues and the ranked importance of these was established by multiple regression. The …

media_common.quotation_subjectlcsh:BF1-990emotionMusicalMode (music)PerceptionDiscrete emotion ratings.PsychologyEmotional expressionOriginal Research ArticleGeneral Psychologymedia_commonArticulation (music)lens modelself-reportdiscrete emotion ratingslcsh:PsychologyRegister (music)Dynamics (music)factorial designta6131Perceptionmusic cuesPsychologySocial psychologyTimbremusical featuresFrontiers in Psychology
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Modelling and prediction of perceptual segmentation

2017

While listening to music, we somehow make sense of a multiplicity of auditory events; for example, in popular music we are often able to recognize whether the current section is a verse or a chorus, and to identify the boundaries between these segments. This organization occurs at multiple levels, since we can discern motifs, phrases, sections and other groupings. In this work, we understand segment boundaries as instants of significant change. Several studies on music perception and cognition have strived to understand what types of changes are associated with perceptual structure. However, effects of musical training, possible differences between real-time and non real-time segmentation, and…

Ydinestimointirakennemusiikkiperceptual segmentation taskhavaitseminenmuutosmusical structurekuunteleminensegmentointimusiikintutkimusmusiikkitiedekernel density estimationnovelty detectionmusical featuresmusical training
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Move the way you feel : effects of musical features, perceived emotions, and personality on music-induced movement

2013

liikeoppitanssimusiikkiemotionhavaitseminenliikkeenkaappausperceptionliikepersoonallisuuskuunteleminenpersonalitytunteettanssijatmotion captureliikkuminenmusic-induced movementdynamiikkamusical features
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