409
Views
51
CrossRef citations to date
0
Altmetric
Original Articles

Autotagger: A Model for Predicting Social Tags from Acoustic Features on Large Music Databases

, , &
Pages 115-135 | Published online: 26 Nov 2008

Keep up to date with the latest research on this topic with citation updates for this article.

Read on this site (2)

Mohamed Sordo, Fabien Gouyon, Luís Sarmento, Òscar Celma & Xavier Serra. (2013) Inferring Semantic Facets of a Music Folksonomy with Wikipedia. Journal of New Music Research 42:4, pages 346-363.
Read now

Articles from other publishers (49)

Khaled Boughanmi & Asim Ansari. (2021) Dynamics of Musical Success: A Machine Learning Approach for Multimedia Data Fusion. Journal of Marketing Research 58:6, pages 1034-1057.
Crossref
Yi-Hsun Lin & Homer H. Chen. (2021) Tag Propagation and Cost-Sensitive Learning for Music Auto-Tagging. IEEE Transactions on Multimedia 23, pages 1605-1616.
Crossref
Peter Knees, Markus Schedl & Masataka Goto. (2020) Intelligent User Interfaces for Music Discovery. Transactions of the International Society for Music Information Retrieval 3:1, pages 165-179.
Crossref
Srikar Amara & R. Raja Subramanian. (2020) Collaborating personalized recommender system and content-based recommender system using TextCorpus. Collaborating personalized recommender system and content-based recommender system using TextCorpus.
Qianqian Wang, Feng Su & Yuyang Wang. (2020) Hierarchical attentive deep neural networks for semantic music annotation through multiple music representations. International Journal of Multimedia Information Retrieval 9:1, pages 3-16.
Crossref
Chen Yuan, Zhang Bin & Ma Bing. (2019) An Approach to Labeling Audio Tags Based on Self-Attention Generative Adversarial Networks. An Approach to Labeling Audio Tags Based on Self-Attention Generative Adversarial Networks.
Haiqing Yu, Yanling Li, Shujun Zhang & Chunyan Liang. (2019) Popularity Prediction for Artists Based on User Songs Dataset. Popularity Prediction for Artists Based on User Songs Dataset.
Xi Shao, Zhiyong Cheng & Mohan S. Kankanhalli. (2018) Music auto-tagging based on the unified latent semantic modeling. Multimedia Tools and Applications 78:1, pages 161-176.
Crossref
Sergio Oramas, Francesco Barbieri, Oriol Nieto & Xavier Serra. (2018) Multimodal Deep Learning for Music Genre Classification. Transactions of the International Society for Music Information Retrieval 1:1, pages 4-21.
Crossref
Yi-Hsun Lin, Chia-Hao Chung & Homer H. Chen. (2018) Playlist-Based Tag Propagation for Improving Music Auto-Tagging. Playlist-Based Tag Propagation for Improving Music Auto-Tagging.
Gen Li & Irina Gaynanova. (2018) A general framework for association analysis of heterogeneous data. The Annals of Applied Statistics 12:3.
Crossref
Liang Zhang, Ibraheem Saleh, Sashi Thapaliya, Jonathan Louie, Jose Figueroa-Hernandez & Hao Ji. (2017) An Empirical Evaluation of Machine Learning Approaches for Species Identification through Bioacoustics. An Empirical Evaluation of Machine Learning Approaches for Species Identification through Bioacoustics.
Zhiyong Cheng, Jialie Shen, Liqiang Nie, Tat-Seng Chua & Mohan Kankanhalli. (2017) Exploring User-Specific Information in Music Retrieval. Exploring User-Specific Information in Music Retrieval.
Qiang Huang, Yong Xu, Philip J. B. Jackson, Wenwu Wang & Mark D. Plumbley. (2017) Fast tagging of natural sounds using marginal co-regularization. Fast tagging of natural sounds using marginal co-regularization.
Asoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto & Anirban PatranabisAsoke Kumar Datta, Sandeep Singh Solanki, Ranjan Sengupta, Soubhik Chakraborty, Kartik Mahto & Anirban Patranabis. 2017. Signal Analysis of Hindustani Classical Music. Signal Analysis of Hindustani Classical Music 17 33 .
Nadine Desrochers, Audrey Laplante, Kim Martin, Anabel Quan-Haase & Louise Spiteri. (2016) Illusions of a “Bond”: tagging cultural products across online platforms. Journal of Documentation 72:6, pages 1027-1051.
Crossref
Pasi Saari, Gyorgy Fazekas, Tuomas Eerola, Mathieu Barthet, Olivier Lartillot & Mark Sandler. (2016) Genre-Adaptive Semantic Computing and Audio-Based Modelling for Music Mood Annotation. IEEE Transactions on Affective Computing 7:2, pages 122-135.
Crossref
Daniela Godoy & Alejandro Corbellini. (2016) Folksonomy-Based Recommender Systems: A State-of-the-Art Review. International Journal of Intelligent Systems 31:4, pages 314-346.
Crossref
Igor Vatolkin, Geoffray Bonnin & Dietmar Jannach. 2016. Analysis of Large and Complex Data. Analysis of Large and Complex Data 437 447 .
Cencen Zhong & Zhenjiang Miao. (2014) Multi-label audio concept detection using correlated-aspect Gaussian Mixture Model. Multimedia Tools and Applications 74:13, pages 4817-4832.
Crossref
Hiba Ahsan, Vijay Kumar & C.V. Jawahar. (2015) Multi-label annotation of music. Multi-label annotation of music.
Davide Chicco, Eleonora Ciceri & Marco Masseroli. 2015. Computational Intelligence Methods for Bioinformatics and Biostatistics. Computational Intelligence Methods for Bioinformatics and Biostatistics 19 32 .
Igor Vatolkin. 2015. Evolutionary Multi-Criterion Optimization. Evolutionary Multi-Criterion Optimization 529 543 .
Markus Schedl, Peter Knees, Brian McFee, Dmitry Bogdanov & Marius Kaminskas. 2015. Recommender Systems Handbook. Recommender Systems Handbook 453 492 .
Bob L. Sturm. (2014) A Simple Method to Determine if a Music Information Retrieval System is a “Horse”. IEEE Transactions on Multimedia 16:6, pages 1636-1644.
Crossref
Yonatan Vaizman, Brian McFee & Gert Lanckriet. (2014) Codebook-Based Audio Feature Representation for Music Information Retrieval. IEEE/ACM Transactions on Audio, Speech, and Language Processing 22:10, pages 1483-1493.
Crossref
Jingjing Yin, Qin Yan, Yong Lv & Qiuyu Tao. (2014) Music auto-tagging with variable feature sets and probabilistic annotation. Music auto-tagging with variable feature sets and probabilistic annotation.
Konstantinos Pliakos & Constantine Kotropoulos. (2014) Personalized music tagging using ranking on hypergraphs. Personalized music tagging using ranking on hypergraphs.
Chin-Chia Michael Yeh, Ju-Chiang Wang, Yi-Hsuan Yang & Hsin-Min Wang. (2014) Improving music auto-tagging by intra-song instance bagging. Improving music auto-tagging by intra-song instance bagging.
Klaus Seyerlehner, Markus Schedl, Reinhard Sonnleitner, David Hauger & Bogdan Ionescu. 2014. Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation. Adaptive Multimedia Retrieval: Semantics, Context, and Adaptation 193 202 .
Igor Vatolkin, Günther Rötter & Claus Weihs. 2014. Data Analysis, Machine Learning and Knowledge Discovery. Data Analysis, Machine Learning and Knowledge Discovery 427 434 .
Yannis Panagakis & Constantine Kotropoulos. (2013) Music classification by low-rank semantic mappings. EURASIP Journal on Audio, Speech, and Music Processing 2013:1.
Crossref
Jean-Julien Aucouturier & Emmanuel Bigand. (2013) Seven problems that keep MIR from attracting the interest of cognition and neuroscience. Journal of Intelligent Information Systems 41:3, pages 483-497.
Crossref
Yi-Hsuan Yang. (2013) Towards real-time music auto-tagging using sparse features. Towards real-time music auto-tagging using sparse features.
Riccardo Miotto & Nicola Orio. (2012) A Probabilistic Model to Combine Tags and Acoustic Similarity for Music Retrieval. ACM Transactions on Information Systems 30:2, pages 1-29.
Crossref
Riccardo Miotto & Gert Lanckriet. (2012) A Generative Context Model for Semantic Music Annotation and Retrieval. IEEE Transactions on Audio, Speech, and Language Processing 20:4, pages 1096-1108.
Crossref
Marius Kaminskas & Francesco Ricci. (2012) Contextual music information retrieval and recommendation: State of the art and challenges. Computer Science Review 6:2-3, pages 89-119.
Crossref
Yannis Panagakis & Constantine Kotropoulos. (2012) Automatic music tagging by low-rank representation. Automatic music tagging by low-rank representation.
Juan Pablo Bello & Kent Underwood. (2012) Improving access to digital music through content‐based analysis. OCLC Systems & Services: International digital library perspectives 28:1, pages 17-31.
Crossref
Rafael Ferrer & Tuomas Eerola. (2011) Semantic structures of timbre emerging from social and acoustic descriptions of music. EURASIP Journal on Audio, Speech, and Music Processing 2011:1.
Crossref
R. Ferrer & T. Eerola. (2011) Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections. Looking Beyond Genres: Identifying Meaningful Semantic Layers from Tags in Online Music Collections.
Michael I. Mandel, Razvan Pascanu, Douglas Eck, Yoshua Bengio, Luca M. Aiello, Rossano Schifanella & Filippo Menczer. (2011) Contextual tag inference. ACM Transactions on Multimedia Computing, Communications, and Applications 7S:1, pages 1-18.
Crossref
Yu-Ching Lin, Yi-Hsuan Yang & Homer H. Chen. (2011) Exploiting online music tags for music emotion classification. ACM Transactions on Multimedia Computing, Communications, and Applications 7S:1, pages 1-16.
Crossref
Rafael Ferrer & Tuomas Eerola. (2011) AMP: Artist-based musical preferences derived from free verbal responses and social tags. AMP: Artist-based musical preferences derived from free verbal responses and social tags.
Yannis Panagakis & Constantine Kotropoulos. (2011) Automatic music tagging via PARAFAC2. Automatic music tagging via PARAFAC2.
Zhouyu Fu, Guojun Lu, Kai Ming Ting & Dengsheng Zhang. (2011) A Survey of Audio-Based Music Classification and Annotation. IEEE Transactions on Multimedia 13:2, pages 303-319.
Crossref
Christian Dittmar, Holger Großmann, Estefanía Cano, Sascha Grollmisch, Hanna Lukashevich & Jakob Abeßer. 2011. Exploring Music Contents. Exploring Music Contents 259 272 .
Edith Law & Luis von Ahn. 2011. Human Computation. Human Computation.
Kazuyoshi Yoshii & Masataka Goto. 2009. Entertainment Computing – ICEC 2009. Entertainment Computing – ICEC 2009 85 97 .

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.