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Can We Increase Inter- and Intra-Rater Agreement in Modeling General Music Similarity?

Arthur Flexer, Taric Lallai
2019 Zenodo  
We present a pilot study on ways to increase inter- and intra-rater agreement in quantification of general similarity between pieces of music.  ...  We discuss the impacts of our results on evaluation of respective machine learning models and question the validity of experiments on general music similarity.  ...  Acknowledgements: This work was supported by the Austrian Science Fund (FWF P31988) and the Vienna Science and Technology Fund (WWTF MA14-018).  ... 
doi:10.5281/zenodo.3527851 fatcat:o42fnszjnfdnxl7qpanduoognu

Perception of Timbre and Rhythm Similarity in Electronic Dance Music

Aline Honingh, Maria Panteli, Thomas Brockmeier, David Iñaki López Mejía, Makiko Sadakata
2015 Journal of New Music Research  
To this end, we performed a series of web-based perceptual experiments on timbre, rhythm and general similarity in electronic dance music.  ...  The present study aims to investigate whether such sub-dimensions of similarity can be assessed independently and how they relate to general similarity.  ...  Furthermore, we would like to thank the anonymous reviewers for their valuable comments and suggestions to improve the manuscript.  ... 
doi:10.1080/09298215.2015.1107102 fatcat:66ikrpt7yfbflkyksuyztacibe

Learning music similarity using audio and textual input

Alexander Keijser, Minz Won, Bogdanov
2020 Zenodo  
Overall, we provide valuable insight into the di˙erences be-tween CF-based and content-based retrieval systems, and provide recommendations on how they can [...]  ...  The aim of this thesis was to develop a query-by-example system that can focus on specific aspects of a query song, such as 'instrumentation', 'mood', 'era' or 'genre', thus increasing user control.  ...  They argue that limited inter-rater agreement in modelling music similarity is a fundamental problem in obtaining ground-truth information.  ... 
doi:10.5281/zenodo.4091448 fatcat:rnh2xhbro5httkrwv6pjxkkcz4

Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style [article]

Jeff Ens, Philippe Pasquier
2020 arXiv   pre-print
In addition, similarity can be measured with respect to a single feature, allowing specific discrepancies between generated samples and a particular musical style to be identified.  ...  Modelling human perception of musical similarity is critical for the evaluation of generative music systems, musicological research, and many Music Information Retrieval tasks.  ...  ACKNOWLEDGMENTS We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC), and the Helmut & Hugo Eppich Family Graduate Scholarship.  ... 
arXiv:2003.06226v1 fatcat:njmhknr6ijcjbmmvyvsipxixqe

Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style

Jeffrey Ens, Philippe Pasquier
2019 Zenodo  
In addition, similarity can be measured with respect to a single feature, allowing specific discrepancies between generated samples and a particular musical style to be identified.  ...  Modelling human perception of musical similarity is critical for the evaluation of generative music systems, musicological research, and many Music Information Retrieval tasks.  ...  inter-rater agreement [34] .  ... 
doi:10.5281/zenodo.3527951 fatcat:qzkrrw3mo5eedbggyffd4h7lyy

On Evaluation of Inter- and Intra-Rater Agreement in Music Recommendation

Arthur Flexer, Taric Lallai, Katja Rašl
2021 Transactions of the International Society for Music Information Retrieval  
We present two user studies to explore inter-and intra-rater agreement in quantification of general similarity between pieces of recommended music.  ...  We discuss the impacts of our results on evaluation of music recommenders and question the validity of experiments on general music similarity.  ...  Acknowledgements This research was funded in whole, or in part, by the Austrian Science Fund (FWF, P 31988).  ... 
doi:10.5334/tismir.107 fatcat:2n4qxi7rbfftvh63xntlrwzawe

Vocal imitation of percussion sounds: On the perceptual similarity between imitations and imitated sounds

Adib Mehrabi, Simon Dixon, Mark Sandler, Marcus Perlman
2019 PLoS ONE  
In the present study we address this by investigating how accurately musicians can vocally imitate percussion sounds, in terms of whether listeners consider the imitations 'more similar' to the imitated  ...  Finally, we apply an existing auditory image based measure for perceptual similarity between same-category drum sounds, to model the similarity ratings using linear mixed effect regression.  ...  Concordance of ratings (inter-rater agreement) Concordant imitations are those for which there was agreement amongst the listeners regarding the similarity ratings.  ... 
doi:10.1371/journal.pone.0219955 pmid:31344080 pmcid:PMC6657857 fatcat:jbpyod5cfzbvzgbdyvvciyhr4e

Transfer learning from speech to music: towards language-sensitive emotion recognition models

Juan Sebastián Gómez-Cañón, Estefanía Cano, Perfecto Herrera, Emilia Gómez
2020 Zenodo  
Namely, we expect the intra-linguistic setting (e.g., pre-training on speech in English and fine-tuning on music in English) should result in improved performance over the cross-linguistic setting (e.g  ...  Our approach is to pre-train models using speech in English and Mandarin, and then fine-tune them with excerpts of music labeled with categories of emotion.  ...  The research work conducted in the Music Technology Group at the Universitat Pompeu Fabra is partially supported by the European Commission under the TROMPA project (H2020 770376).  ... 
doi:10.5281/zenodo.4076791 fatcat:j67fvhgtdbaajcnagsdbjjyq6u

Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification

Juan Sebastián Gómez-Cañón, Estefanía Cano, Perfecto Herrera, Emilia Gómez
2020 Zenodo  
In this study, we investigate the relationship between emotions perceived in pop and rock music (mainly in Euro-American styles) and personal characteristics from the listener, using language as a key  ...  Finally, we study our group-based annotations in a two-fold approach: (1) assessing the similarity within annotations using manifold learning algorithms and unsupervised clustering, and (2) analyzing their  ...  We would like to thank participants to our surveys; Rafael Caro, Robert Graefe, Christopher Kenserski, and Tiange Zhu for help translating and distributing our surveys; and anonymous reviewers that helped  ... 
doi:10.5281/zenodo.4076720 fatcat:qnkbijzqmbec3mlprmwrlbu7ty

Joyful for you and tender for us: the influence of individual characteristics and language on emotion labeling and classification

Juan S. Gómez-Cañón, Estefania Cano, Perfecto Herrera, Emilia Gomez
2020 Zenodo  
In this study, we investigate the relationship between emotions perceived in pop and rock music (mainly in Euro-American styles) and personal characteristics from the listener, using language as a key  ...  Finally, we study our group-based annotations in a two-fold approach: (1) assessing the similarity within annotations using manifold learning algorithms and unsupervised clustering, and (2) analyzing their  ...  The research work conducted in the Music Technology Group at the Universitat Pompeu Fabra is partially supported by the European Commission under the TROMPA project (H2020 770376).  ... 
doi:10.5281/zenodo.4245567 fatcat:zclo3r4ftnfgxnhdqg47xf7pb4

Birds of a Feather Sit Together: Physical Similarity Predicts Seating Choice

Sean P. Mackinnon, Christian H. Jordan, Anne E. Wilson
2011 Personality and Social Psychology Bulletin  
Christian Jordan, for all his help and advice throughout the dissertation process, for responding to my many emails and queries, and for encouraging me to take my own unique research path, even though  ...  Acknowledgements First and foremost, I would like to thank my primary thesis supervisor, Dr.  ...  We are rounding to the nearest 10%, because eye gaze is often ambiguous in the videos, and improving inter-rater reliability is desirable.  ... 
doi:10.1177/0146167211402094 pmid:21467540 fatcat:6xy3highfvck3dery2b65tnmg4

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning [article]

Julia Kreutzer, Joshua Uyheng, Stefan Riezler
2018 arXiv   pre-print
Our analysis of cardinal (5-point ratings) and ordinal (pairwise preferences) feedback shows that their intra- and inter-annotator α-agreement is comparable.  ...  Best reliability is obtained for standardized cardinal feedback, and cardinal feedback is also easiest to learn and generalize from.  ...  This work was supported in part by DFG Research Grant RI 2221/4-1, and by an internship program of the IWR at Heidelberg University.  ... 
arXiv:1805.10627v3 fatcat:kj7iskaodjc2tenogl3q5g7cjq

Development of the Video Analysis Scale of Engagement (VASE) for people with advanced dementia

L.L. Daniel Lai, Sebastian J. Crutch, Julian West, Emma Harding, Emilie V. Brotherhood, Rohan Takhar, Nicholas Firth, Paul M. Camic
2021 Wellcome Open Research  
Linear mixed modelling suggested that the types of interventions (active or passive music listening), the particular intervention session being rated, time period of video and the age of raters could affect  ...  Results: An inter-class coefficient (ICC) test gave a high level of rating agreement across professionals and non-professionals. However, the ICC results of within-professionals were mixed.  ...  We would also like to thank the Music for Life musicians, Jewish Care, and Wigmore Hall for their support and participation in making this study possible.  ... 
doi:10.12688/wellcomeopenres.16189.3 fatcat:v3yccoxxivdjfjlq7s3meyux7e

Development of the Video Analysis Scale of Engagement (VASE) for people with advanced dementia

L.L. Daniel Lai, Sebastian J. Crutch, Julian West, Emma Harding, Emilie V. Brotherhood, Rohan Takhar, Nicholas Firth, Paul M. Camic
2021 Wellcome Open Research  
Linear mixed modelling suggested that the types of interventions (active or passive music listening), the particular intervention session being rated, time period of video and the age of raters could affect  ...  Results: An inter-class coefficient (ICC) test gave a high level of rating agreement across professionals and non-professionals. However, the ICC results of within-professionals were mixed.  ...  We would also like to thank the Music for Life musicians, Jewish Care, and Wigmore Hall for their support and participation in making this study possible.  ... 
doi:10.12688/wellcomeopenres.16189.2 fatcat:rg27wzfloza77mlknlrgihdy4m

Let's agree to disagree: Consensus Entropy Active Learning for Personalized Music Emotion Recognition

Juan S. Gómez-Cañón, Estefania Cano, Yi-Hsuan Yang, Perfecto Herrera, Emilia Gomez
2021 Zenodo  
Personalized models are trained in a supervised manner, and are tested exclusively with the annotations provided by a specific user.  ...  Previous research in music emotion recognition (MER) has tackled the inherent problem of subjectivity through the design of personalized models -- models which predict the emotions that a particular user  ...  ACKNOWLEDGEMENTS The research work conducted in the Music Technology Group at the Universitat Pompeu Fabra is partially supported by the European Commission under the TROMPA project (H2020 770376).  ... 
doi:10.5281/zenodo.5624399 fatcat:qvxnop3gizagtc5sn57jfuahvi
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