This research aims to determine the types of ambiguous words and meanings in Taylor Swift's songs. The researcher uses Ullmann's theory type word. design is a qualitative research. instrument himself. data sources for this study are audio lyrics songs contained In collecting data, applies non-participant observation method note taking technique as follow-up technique. Data analysis conducts ref...

music analysis, information retrieval, multimedia indexing We motivate the problem of music recommendation based solely on acoustics from groups of related songs or 'song sets'. We propose four solutions which can be used with any acoustic-based similarity measure. The first builds a model for each song set and recommends new songs according to their distance from this model. The next three app...

OBJECTIVES Those exposed to more degrading sexual references in popular music are more likely to initiate intercourse at a younger age. The purpose of this study was to perform a content analysis of contemporary popular music with particular attention paid to the prevalence of degrading and non-degrading sexual references. We also aimed to determine if sexual references of each subtype were ass...

In this paper, an approach to detect the sentiment of a song based on its multi-modality natures (text and audio) is presented. The textual lyric features are extracted from the bag of words. By using these features, Doc2Vec will generate a single vector for each song. Support Vector Machine (SVM), Naive Bayes (NB) and a combination of both these classifiers are developed to classify the sentim...

Given the recent explosion in the use of folksonomies to describe digital objects, it is important to study how users tag items in order to design online systems that best meet their needs. This small-scale study explored what music information facets users of the social music website last.fm might consider when assigning emotion-based tags to describe songs, as well as whether a small group of...

Male song sparrows,Melospiza melodia, sing highly variable songs. Traditionally, researchers have partitioned this variability by assigning songs to discrete categories termed ‘song types’, but researchers also have recognized that songs classified as the same song type are themselves variable. Territorial playbacks were used in a habituation/recovery design to investigate whether songs sparrow...

We report a statistical analysis of more than eight thousand songs. Specifically, we investigated the probability distribution of the normalized sound amplitudes. Our findings suggest a universal form of distribution that agrees well with a one-parameter stretched Gaussian. We also argue that this parameter can give information on music complexity, and consequently it helps classify songs as we...

The paper discusses some aspects of a work in progress aimed at the development of technologies for digitization of Bulgarian folk music and building a digital library with Bulgarian folk songs presented with their music, texts and notes. This library provides digital preservation of the sound recordings, lyrics and notations of more than 1000 Bulgarian folk songs and tools for various types of...