Search results for "Social tags"
showing 5 items of 5 documents
Genre-adaptive Semantic Computing and Audio-based Modelling for Music Mood Annotation
2016
This study investigates whether taking genre into account is beneficial for automatic music mood annotation in terms of core affects valence, arousal, and tension, as well as several other mood scales. Novel techniques employing genre-adaptive semantic computing and audio-based modelling are proposed. A technique called the ACTwg employs genre-adaptive semantic computing of mood-related social tags, whereas ACTwg-SLPwg combines semantic computing and audio-based modelling, both in a genre-adaptive manner. The proposed techniques are experimentally evaluated at predicting listener ratings related to a set of 600 popular music tracks spanning multiple genres. The results show that ACTwg outpe…
Semantic Computing of Moods Based on Tags in Social Media of Music
2014
Social tags inherent in online music services such as Last.fm provide a rich source of information on musical moods. The abundance of social tags makes this data highly beneficial for developing techniques to manage and retrieve mood information, and enables study of the relationships between music content and mood representations with data substantially larger than that available for conventional emotion research. However, no systematic assessment has been done on the accuracy of social tags and derived semantic models at capturing mood information in music. We propose a novel technique called Affective Circumplex Transformation (ACT) for representing the moods of music tracks in an interp…
Enhancing genre-based measures of music preference by user-defined liking and social tags
2012
Musical preferences are typically determined by asking participants to indicate their favourite musical genres. These genre-based measures have some considerable pitfalls, since specific pieces of music in a genre might be liked more than the genre itself, and finding consensus to define a genre is often a challenging task. The aims of the present study were to (1) assess how effective genre-based measures are at identifying musical preferences, by comparing them to free responses; (2) demonstrate how the fit can be improved between the genre-based measures and sampled population; and (3) suggest and evaluate methods that use lists of liked and disliked artists to define musical preference…
Using Tags to Select Stimuli in the Study of Music and Emotion
2013
A wealth of literature on musical emotion exists, including investigation of the use of tags to classify musical emotions. However, the relationship between musical emotions and human annotated information is still unclear. Likewise, the understanding of the differences between induced emotion (also known as felt emotion) and perceived emotion (also known as expressed emotion) is at an early stage. In previous work, lists of songs labelled with one of the four basic emotion tags “happy”, “sad”, “angry” and “relaxed” were retrieved from Last.FM, and audio excerpts were fetched from 7Digital.com. In this study, we asked listeners to rate musical excerpts with the perceived or induced emotion …