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Relevance of Musical Features for Cadence Detection

Louis Bigo, Laurent Feisthauer, Mathieu Giraud, Florence Levé
2018 Zenodo  
The representation of each beat of the score as a vector of cadential features makes it possible to reformulate cadence detection as a classification task.  ...  We formalize and discuss the significance of 44 cadential features, correlated with the occurrence of cadences in scores.  ...  The authors are grateful to Robin Alais, Mikaela Keller, Marie Perrier, and the Algomus team for fruitful discussions and proofreading of the manuscript.  ... 
doi:10.5281/zenodo.1492423 fatcat:2ajmumutoba7dk45cw4t4vkbyu

Cadence Detection in Symbolic Classical Music using Graph Neural Networks [article]

Emmanouil Karystinaios, Gerhard Widmer
2022 arXiv   pre-print
Detecting such structures is vital for numerous MIR tasks such as musicological analysis, key detection, or music segmentation.  ...  Moreover, our experiments suggest that graph convolution can learn non-local features that assist in cadence detection, freeing us from the need of having to devise specialized features that encode non-local  ...  We demonstrated that our Graph Convolutional Network, Stochastic GraphSMOTE, can learn using only local note features, without the need for any musical assumptions about cadence anchor points.  ... 
arXiv:2208.14819v1 fatcat:lma5aqtgifc6fpykj6qjw2maoa

Cadence Detection In Western Traditional Stanzaic Songs Using Melodic And Textual Features

Peter Van Kranenburg, Folgert Karsdorp
2014 Zenodo  
Cadence detection is related to the problem of segmentation, which is relevant for Music Information Retrieval [21] .  ...  for cadence detection.  ... 
doi:10.5281/zenodo.1416171 fatcat:utbrtlpd25bbxlhzr4wiesqlii

Modeling and Learning Structural Breaks in Sonata Forms

Laurent Feisthauer, Louis Bigo, Mathieu Giraud
2019 Zenodo  
These features concern rhythmic, harmonic and textural aspects of the music and characterize either the MC, its preparation or the texture contrast between TR and S.  ...  It appears as a climax of energy accumulation initiated by the TR, dividing the Exposition in two parts. We introduce high-level features relevant to formalize this energy gain and to identify MCs.  ...  While PAC detection seems satisfying, HC detection was kind of disappointing due to the lack of characteristic feature for this cadence type [3] . .  ... 
doi:10.5281/zenodo.3527828 fatcat:ljbi4gvy5ncczj3cbukrhzwpk4

Data quality matters: Iterative corrections on a corpus of Mendelssohn string quartets and implications for MIR analysis

Jacob DeGroot-Maggetti, Timothy R De Reuse, Laurent Feisthauer, Samuel Howes, Yaolong Ju, Suzuka Kokubu, Sylvain Margot, Néstor Nápoles López, Finn Upham
2020 Zenodo  
Four MIR tasks are applied to each round of corrections on this collection: cadence detection, chord labeling, key finding, and monophonic pattern discovery.We measure changes in the outputs of these four  ...  and music analysis priorities of the team.  ...  ACKNOWLEDGEMENTS We would like to acknowledge the contributions of our many collaborators on the Single Interface for Music Score Searching and Analysis (SIMSSA) project, especially Ichiro Fujinaga.  ... 
doi:10.5281/zenodo.4245459 fatcat:dkoe2moesfgdrgydcrwpig666a

Brain Indices of Music Processing: "Nonmusicians" are Musical

Stefan Koelsch, Tomas Gunter, Angela D. Friederici, Erich Schröger
2000 Journal of Cognitive Neuroscience  
The employed experimental design opens a new field for the investigation of music processing. Results strengthen the hypothesis of an implicit musical ability of the human brain. & D  ...  The present study investigated how music processing is influenced by a preceding musical context, affected by the task relevance of unexpected chords, and influenced by the degree and the probability of  ...  To describe the sound of a Neapolitan chord subjectively: When presented in a major-tonal context instead of a subdominant, a Neapolitan sounds``uncommon, but not false.''  ... 
doi:10.1162/089892900562183 pmid:10931776 fatcat:7qkr4ijo4jdabo2u5qaqeaja24

Chunking in tonal contexts: Information compression during serial recall of visually presented musical notes

Lucas Lörch
2021 Psychology of Music  
Musical note symbols, which formed either triads (Experiment 1) or cadences (Experiment 2), were presented visually and sequentially to musically experienced participants for immediate serial recall.  ...  To advance the understanding of chunking in musical memory, the present study tested characteristics of melodic sequences that might enable a parsimonious memory representation, namely, the presence of  ...  Acknowledgements I want to thank Stefan Münzer, Erkki Huovinen, and the participants of my seminar "Experimentalpraktikum 2018" for their support of this research.  ... 
doi:10.1177/03057356211013396 fatcat:n73fsrohcncbnprdw3uy5m26xa

Computational Fugue Analysis

Mathieu Giraud, Richard Groult, Emmanuel Leguy, Florence Levé
2015 Computer Music Journal  
We also implemented tools to detect subject scale degrees, cadences, and pedals, as well as a method for segmenting the fugue into exposition and episodic parts.  ...  One of the pinnacles of form in classical Western music, the fugue is often used in the teaching of music analysis and composition.  ...  The music21 framework (Cuthbert and Ariza 2010, version 2.0.0) was used for input (parsing 88 Computer Music Journal Figure 10 . Examples of discovered cadences.  ... 
doi:10.1162/comj_a_00300 fatcat:vd7jd4eixzfxlle5ogrio6ecvu

Spontaneous Velocity Effect of Musical Expression on Self-Paced Walking

Jeska Buhmann, Frank Desmet, Bart Moens, Edith Van Dyck, Marc Leman, Enrique Hernandez-Lemus
2016 PLoS ONE  
The expressive features of music can influence the velocity of walking. So far, studies used instructed (and intended) synchronization.  ...  Our findings are relevant for preventing injuries, for gait improvement in walking rehabilitation, and for improving performance in sports activities.  ...  The authors also wish to thank the Flanders Sports Arena of Ghent, for making it possible to use their running track. Author Contributions  ... 
doi:10.1371/journal.pone.0154414 pmid:27167064 pmcid:PMC4864300 fatcat:5ynnigymmffq7kcxrtk35hf2qy

Learning Sonata Form Structure on Mozart's String Quartets

Pierre Allegraud, Louis Bigo, Laurent Feisthauer, Mathieu Giraud, Richard Groult, Emmanuel Leguy, Florence Levé
2019 Transactions of the International Society for Music Information Retrieval  
The musical analysis of large-scale structures, such as the classical sonata form, requires to integrate multiple analyses of local musical events into a global coherent analysis.  ...  We investigate whether the presence or the absence of these features can be characteristic of the different sections forming a sonata form.  ...  We thank the editor the anonymous reviewers for their insightful  ... 
doi:10.5334/tismir.27 fatcat:flqadzfcn5e4zi2my73ju22upe

How to Investigate the Effect of Music on Breathing during Exercise: Methodology and Tools

Lorenzo Innocenti, Andrea Nicolò, Carlo Massaroni, Carlo Minganti, Emiliano Schena, Massimo Sacchetti
2022 Sensors  
Three tools were developed for the quantification of the presence, degree, and magnitude of music-locomotor, locomotor-breathing, and music-breathing entrainment.  ...  These findings suggest the importance of evaluating the effect of music on breathing responses to exercise, with potential implications for exercise prescription and adherence, and for the development  ...  sensitivity of entrainment detection.  ... 
doi:10.3390/s22062351 pmid:35336520 pmcid:PMC8953998 fatcat:7jv7mv7jgzgajjiwxmv6e7yw4u

An Interactive Music Synthesizer for Gait Training in Neurorehabilitation

Prithvi Kantan, Sofia Dahl
2019 Proceedings of the SMC Conferences  
Williams for assisting the fabrication of the test apparatus; D. Curtis for his valuable comments in evaluating the application, R. Jakobsen, C. Ringsted, and C.  ...  Author Kantan was mainly responsible for designing, implementing, evaluating and writing this paper as part of a student project at the MSc. Program in Sound and  ...  The initial step measurements must be discarded to obtain more accurate long-term figures for evaluation. Periodic automated cadence detection is also a necessary provision for setting music tempo.  ... 
doi:10.5281/zenodo.3249297 fatcat:vtsvwz3e2vhw7dv7l52jvojdju

Key Inference From Irish Traditional Music Scores And Recordings

Pierre Beauguitte, Bryan Duggan, John D. Kelleher
2017 Proceedings of the SMC Conferences  
Other methods for key-identification are based on higherlevel features.  ...  existing key detection algorithms was tested on datasets of audio and symbolic Irish music.  ... 
doi:10.5281/zenodo.1401889 fatcat:6jvhp6pr5bbg5m7dqngqa46ffe

Musical Feature And Novelty Curve Characterizations As Predictors Of Segmentation Accuracy

Martin Hartmann, Olivier Lartillot, Petri Toiviainen
2017 Proceedings of the SMC Conferences  
Our endeavor is motivated by the direct impact of music segmentation on other areas of computational music analysis, including music summarization, chorus detection, and music transcription, and its relevance  ...  Feature-based Prediction of Novelty Detection Performance Our first hypothesis was that accuracy obtained via novelty detection would increase for stimuli with low local variation of musical features.  ... 
doi:10.5281/zenodo.1401964 fatcat:bhlffl7ic5hqrkrybyyyenqj3a

Neural correlates of acoustic dissonance in music: The role of musicianship, schematic and veridical expectations

Carlota Pagès-Portabella, Mila Bertolo, Juan M. Toro, Alice Mado Proverbio
2021 PLoS ONE  
While the EN was not affected by syntactic rules, the P3a and P3b were larger for dissonant closures than for middle dissonant chords.  ...  In Experiment 2, we presented to the listeners with a high proportion of cadences ending in a dissonant chord. In both experiments, we compared the ERPs of musicians and non-musicians.  ...  of the study.  ... 
doi:10.1371/journal.pone.0260728 pmid:34852008 pmcid:PMC8635369 fatcat:lzcvku2fnfhftfb4mz3nj4usay
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