The purpose of the article is to identify peculiarities formation and main trends in development children's musical as a popular genre Ukrainian stage art 1960s-1990s. Research methodology. historical cultural method was used summarise factual material related time creation logic methods genre-stylistic analysis were applied help specific artistic aesthetic, stylistic features productions on st...

A system for the automatic classification of audio signals according to audio category is presented. The signals are recognized as speech, background noise and one of 13 musical genres. A large number of audio features are evaluated for their suitability in such a classification task, including well-known physical and perceptual features, audio descriptors defined in the MPEG-7 standard, as wel...

While there is an enormous amount of music data available, the field of music analysis almost exclusively uses manually designed features. In this work we learn features from music data in a completely unsupervised way and evaluate them on a musical genre classification task. We achieve results very close to state-of-the-art performance which relies on highly hand-tuned feature extractors.

Andreas Rauber Dept. of Software Technology Vienna Univ. of Technology A-1040 Vienna, Austria [email protected] Elias Pampalk Austrian Research Institute for Artificial Intelligence A-1010 Vienna, Austria [email protected] Dieter Merkl Dept. of Software Technology Vienna Univ. of Technology A-1040 Vienna, Austria [email protected] ABSTRACT With the advent of large musical archives...

Convolutional neural networks (CNNs) have been successfully applied on both discriminative and generative modeling for music-related tasks. For a particular task, the trained CNN contains information representing the decision making or the abstracting process. One can hope to manipulate existing music based on this “informed” network and create music with new features corresponding to the knowl...

In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The study of genres as bodies of musical items aggregated according to subjective and local criteria requires corresponding inductive models of such a notion. This process can be thus modeled as an example-driven learning task...

In organisation schemes, musical artists are commonly identified with a unique ‘genre’ label attached, even when they have affinity to multiple genres. To uncover this hidden cultural awareness about multi-genre affinity, we present a new model based on the analysis of the way in which a community of users organise artists and genres in playlists. Our work is based on a novel dataset that we ha...

Andreas Rauber Dept. of Software Technology Vienna Univ. of Technology A-1040 Vienna, Austria [email protected] Elias Pampalk Austrian Research Institute for Artificial Intelligence A-1010 Vienna, Austria [email protected] Dieter Merkl Dept. of Software Technology Vienna Univ. of Technology A-1040 Vienna, Austria [email protected] ABSTRACT With the advent of large musical archives...

Andreas Rauber Dept. of Software Technology Vienna Univ. of Technology A-1040 Vienna, Austria [email protected] Elias Pampalk Austrian Research Institute for Artificial Intelligence A-1010 Vienna, Austria [email protected] Dieter Merkl Dept. of Software Technology Vienna Univ. of Technology A-1040 Vienna, Austria [email protected] ABSTRACT With the advent of large musical archives...

Mp3s are increasingly the dominant format for recorded music. However, the current organizational methods for mp3 collections are lacking. Thus I propose the Trax system, a visualization tool for organizing mp3s according to genre, and for creating playlists. Trax works on the assumption that most songs exist in multiple genres, and thus creates a graph representing these links between differen...