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Annotating Music Collections: How Content-Based Similarity Helps To Propagate Labels
2007
Zenodo
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ACKNOWLEDGEMENTS This research has been partially supported by the e-Content plus project VARIAZIONI 4 . We are also very grateful for ...
CONCLUSIONS AND FUTURE WORK Our objective was to test how the content-based similarity can propagate labels. ...
Thus, the main goal of our work is to ease the process of annotating music collections, by using content-based similarity distance as a way to propagate labels among songs. ...
doi:10.5281/zenodo.1415708
fatcat:szjyzfe4vbhxdihx3pqqjqldge
Semi-Automatic Annotation of Music Collections
2007
Zenodo
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The Thesis presents two experiments followed for the evaluation of the annotation process the first experiment consists on testing how the content–based similarity can propagate labels. ...
content–based similarity. ...
With respect to the first experiment, the objective was to test how the content-based similarity can propagate labels. ...
doi:10.5281/zenodo.3743141
fatcat:5bmjq5ccr5euxhltdxrzpjfwky
Collecting Ground Truth Annotations For Drum Detection In Polyphonic Music
2005
Zenodo
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The authors wish to thank Liesbeth De Voogdt and Dirk Van Steelant for their help with the annotator guidelines, music selection and practical organization. ...
ACKNOWLEDGEMENTS This work was done in the context of the "Musical Audio Mining" (MAMI) project, which is funded by the Flemish Institute for the Promotion of Scientific and Technological Research in Industry ...
In the same way that melody lines can be seen as a representation of one aspect of the musical content of a piece of music, drum sequences can be seen as another type of musical content representation, ...
doi:10.5281/zenodo.1417714
fatcat:jwiohalnuze7ncslo5jj6dqbui
Mucosa: A Music Content Semantic Annotator
2005
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ACKNOWLEDGMENTS The research and development reported here was partially funded by the EU-FP6-IST-507142 project SIMAC (Semantic Interaction with Music Audio Contents) project. ...
The authors would like to thank Edgar Barroso, and the Audioclas and CLAM teams for their support to the project. ...
A "propagate" button makes possible the propagation of the label to other similar songs, or to other similar artists' songs. ...
doi:10.5281/zenodo.1415980
fatcat:2gywtu6xuffgpjr53syhosnjtq
Annotator subjectivity in harmony annotations of popular music
2019
Journal of New Music Research
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This suggests that current ACE algorithms are powerful enough to tune themselves to particular annotators' idiosyncrasies. ...
In this paper, we introduce and analyse the Chordify Annotator Subjectivity Dataset (CASD) containing chord labels for 50 songs from 4 expert annotators in order to gain a better understanding of the differences ...
Acknowledgments The authors would like to thank Matt McVicar, Arthur Flexer, Alan Marsden and anonymous reviewers for their feedback on an earlier draft of this paper. ...
doi:10.1080/09298215.2019.1613436
fatcat:uzs2nk3gpfdtjbutzhiqoe5ugi
Enriching music mood annotation by semantic association reasoning
2010
2010 IEEE International Conference on Multimedia and Expo
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Mood annotation of music is challenging as it concerns not only audio content but also extra-musical information. ...
Novel ontology-based semantic reasoning methods are applied to effectively bridge content-based information with web-based resources. ...
RELATED WORK Existing mood annotation research is mainly about how to automatically classify music into mood taxonomy, based on the audio signal itself. ...
doi:10.1109/icme.2010.5583243
dblp:conf/icmcs/WangACY10
fatcat:hlcugfm2ure5xp63wj7tk2t6yq
Multilingual music genre embeddings for effective cross-lingual music item annotation
2020
Zenodo
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Recently, in order to explicitly consider this subjectivity, the annotation of music items was modeled as a translation task: predict for a music item its music genres within a target vocabulary or taxonomy ...
Annotating music items with music genres is crucial for music recommendation and information retrieval, yet challenging given that music genres are subjective concepts. ...
We crawl a multilingual DBpedia music genre sub-graph and use its words as basis for normalizing new tag systems. We further detail how we assemble the DBpedia-based music genres graph. ...
doi:10.5281/zenodo.4245555
fatcat:gp3scv2z4jaqpizov6zrjycbd4
Multilingual Music Genre Embeddings for Effective Cross-Lingual Music Item Annotation
[article]
2020
arXiv
pre-print
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Recently, in order to explicitly consider this subjectivity, the annotation of music items was modeled as a translation task: predict for a music item its music genres within a target vocabulary or taxonomy ...
Annotating music items with music genres is crucial for music recommendation and information retrieval, yet challenging given that music genres are subjective concepts. ...
ACKNOWLEDGEMENTS We would like to thank Manuel Moussallam, Marion Baranes, Anis Khlif and the ISMIR reviewers for their insightful and helpful comments on the paper. ...
arXiv:2009.07755v1
fatcat:2ozai2vrtjbofbuxxxx6mzwmeq
You Can Judge an Artist by an Album Cover: Using Images for Music Annotation
2011
IEEE Multimedia
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We also describe a simple computer vision system that can predict music genre tags based on content-based image analysis. ...
While the perception of music tends to focus on our acoustic listening experience, the image of an artist can play a role in how we categorize (and thus judge) the artistic work. ...
Our system works by first finding visually similar artists to a given seed artist, and then propagating genre labels from these artists to the seed artist [10] . ...
doi:10.1109/mmul.2011.1
fatcat:sjpr4alztjgzrjuu3udhew337a
Temporal Pooling And Multiscale Learning For Automatic Annotation And Ranking Of Music Audio
2011
Zenodo
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The authors would like to thank the Theano developper team. ...
Many content-based music recommendation systems follow the same recipe with minor variations (see [5] for a review). First, some features are extracted from the audio. ...
This information is useful for tasks like music recommendation, playlist generation and measuring music similarity. ...
doi:10.5281/zenodo.1418236
fatcat:cs2ukhgiene2raylodmn5vvttq
A Constraint-based Approach for Annotating Music Scores with Gestural Information
2007
Constraints
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The highly constrained nature of performers gestures makes this task suitable to be modeled via a constraint-based approach, coupled with a strategy aimed at maximizing the gestural comfort of performers ...
The physical gestures that operate music instruments are responsible for the qualities of the sound being produced in a performance. ...
Also, we wish to thank the anonymous referees and the Journal's Editor for their valuable comments and suggestions. ...
doi:10.1007/s10601-007-9015-y
fatcat:6c36tsqb2vhb7jafblrvkhdury
Weakly supervised collective feature learning from curated media
[article]
2018
arXiv
pre-print
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During the process of content curation, SNS users collect content items manually from various sources and group them by context, all for their own benefit. ...
One possible solution to this problem is to employ community contributed text tags as weak labels, however, the concepts underlying a single text tag strongly depends on the users. ...
that our novel link prediction-based framework is promising. Since our prediction method is simple, more sophisticated methods may provide more discriminative features. ...
arXiv:1802.04668v1
fatcat:saa6oaoczbdpbebqbrons7deni
Automatic tagging and geotagging in video collections and communities
2011
Proceedings of the 1st ACM International Conference on Multimedia Retrieval - ICMR '11
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Automatically generated tags and geotags hold great promise to improve access to video collections and online communities. ...
The Tagging Task, Professional involves automatically matching episodes in a collection of Dutch television with subject labels drawn from the keyword thesaurus used by the archive staff. ...
These annotation forms are similar in that they support users in finding and re-finding video content. ...
doi:10.1145/1991996.1992047
dblp:conf/mir/LarsonSS11
fatcat:64ojdcpp3rda3bdt5zfl3knura
A faceted approach to reachability analysis of graph modelled collections
2017
International Journal of Multimedia Information Retrieval
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This leads to various challenges in graph-based information retrieval. This paper is concerned with the reachability analysis of multimodal graph modelled collections. ...
We obtain 373% recall gain for very hard topics by using our graph model of the collection. Further, by adding semantic links to the collection, we gain a 10% increase in the overall recall. ...
the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. ...
doi:10.1007/s13735-017-0145-8
pmid:30956928
pmcid:PMC6417456
fatcat:psbvulhqzfervggettvlabv2jm
MARVEL - D2.1: Collection and Analysis of Experimental Data
2021
Zenodo
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This knowledge determines how and where the audio-visual data is collected and annotated. ...
The volume and velocity at which data is collected and moved from one network layer to another are estimated from the technical specifications of the devices as well as from the expected output of the ...
Matching of the datasets to the AI tasks and AI-based components, assuming the annotations are collected. ...
doi:10.5281/zenodo.5052713
fatcat:kyyonzu3ijdjrcrkmyf2y347yy
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