Rap music has had a contentious relationship with the legal system, including censorship, regulation, and artists being arrested for lewd and profane performances. More recently, rap lyrics have been introduced by prosecutors to establish guilt in criminal trials. Some fear this form of artistic expression will be inappropriately interpreted as literal and threatening, perhaps because of stereo...

We present an analysis of musical influence using intact lyrics of over 550,000 songs, extending existing research on lyrics through a novel approach using directed networks. We form networks of lyrical influence over time at the level of three-word phrases, weighted by tf-idf. An edge reduction analysis of strongly connected components suggests highly central artist, songwriter, and genre netw...

This paper presents an empirical method for assessing music similarity on a set of stimuli using triadic comparisons in a balanced incomplete block design. We first evaluated the consistency of subjects in their rankings and then the concordance across subjects. The concordance was also evaluated for different subject populations to assess the influence of experience of the subject with the mus...

Deep learning has been demonstrated its effectiveness and efficiency in music genre classification. However, the existing achievements still have several shortcomings which impair the performance of this classification task. In this paper, we propose a hybrid architecture which consists of the paralleling CNN and Bi-RNN blocks. They focus on spatial features and temporal frame orders extraction...

A map-based approach, which treats 2-dimensional acoustic features using image analysis, has recently attracted attention in music genre classification. While this is successful at extracting local music-patterns compared with other frame-based methods, in most works the extracted features are not sufficient for music genre classification. In this paper, we focus on appropriate feature extracti...

Abstract—Music brings people together, it allows us to experience the same emotions. Currently musical genre classification is done manually and requires even the trained human ear considerable effort. Therefore, clustering songs automatically and then drawing valuable insights from those clusters is an interesting problem and can add great value to music information retrieval systems. Most of ...

Recently many research has been conducted to retrieve pertinent parameters and adequate models for automatic music genre classification. In this paper, two measures based upon information theory concepts are investigated for mapping the features space to decision space. A Gaussian Mixture Model (GMM) is used as a baseline and reference system. Various strategies are proposed for training and te...

The creation of huge databases coming from both restoration of existing analogue archives and new content is demanding fast and more and more reliable tools for content analysis and description, to be used for searches, content queries and interactive access. In that context, musical genres are crucial descriptors since they have been widely used for years to organize music catalogues, librarie...

Editorial is considered as a discursive genre of the English-language press. The concept was developed by M. Montgomery on example mass media texts and allows us to combine approach considering genre, one hand, recurrent stable structure, other emphasize its mobility variability. It argued that this especially relevant for due existing difficulties in developing their typology determining statu...