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Music Mood Representations from Social Tags
TLDR
This study demonstrates a particular relevancy of the basic emotions model with four mood clusters that can be sum-marized as: happy, sad, angry and tender.
Music Mood and Theme Classification - a Hybrid Approach
TLDR
This paper develops algorithms for classifying music songs by moods and themes by extending existing approaches by also considering the songs’ thematic dimensions and by using social data from the Last.fm music portal, as support for the classification tasks.
A Deep Multimodal Approach for Cold-start Music Recommendation
TLDR
This work addresses the so-called cold-start problem by combining text and audio information with user feedback data using deep network architectures and suggests that both splitting the recommendation problem between feature levels, and merging feature embeddings in a multimodal approach improve the accuracy of the recommendations.
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The Quest for Musical Genres: Do the Experts and the Wisdom of Crowds Agree?
TLDR
A multi–faceted approach for musical genre using expert based classifications, dynamic associations derived from the wisdom of crowds, and content–based analysis can improve genre classification, as well as other relevant MIR tasks such as music similarity or music recommendation.
Annotating Music Collections: How Content-Based Similarity Helps to Propagate Labels
TLDR
The main goal of the work is to ease the process of annotating huge music collections, by using content-based similarity distances as a way to propagate labels among songs.
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Music retagging using label propagation and robust principal component analysis
TLDR
A preliminary study that aims at refining (retagging) social tags by exploiting the content similarity between tracks and the semantic redundancy of the track-tag matrix, and indicates that robust PCA with content similarity constraint is particularly effective.
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Combining usage and content in an online music recommendation system for music in the long-tail
TLDR
An online evaluation experiment performed in real time on a commercial music web site, specialised in content from the very long tail of music content, shows that the proposed hybrid recommender shows advantages with respect to usage- and content-based systems.
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Information extraction for knowledge base construction in the music domain
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Semantic annotation of music collections: A computational approach
El consumo de la musica ha cambiado drasticamente en los ultimos anos. Con la llegada de la musica digital, el coste de produccion se ha reducido considerablemente. La expansion de la Web ha ayudado…
ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain
Paper presented at 10th International Conference on Language Resources and Evaluation LREC 2016; 2016 May 23-28; Portoroz, Slovenia.
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