Computational analysis of musical influence networks and rank of sample-based music is presented with a unique outside examination of the WhoSampled.com dataset. The exemplary dataset maintains a large collection of artist-to-artist relationships of sample-based music, specifying the origins of borrowed or sampled material on a song-by-song basis. Directed song, artist, and musical genre networ...

Because music is not objectively descriptive or representational, the subjective qualities of music seem to be most important. Style is one of the most salient qualities of music, and in fact most descriptions of music refer to some aspect of musical style. Style in music can refer to historical periods, composers, performers, sonic texture, emotion, and genre. In recent years, many aspects of ...

When compared with individuals without explicit training in music, adult musicians have facilitated neural functions in several modalities. They also display structural changes in various brain areas, these changes corresponding to the intensity and duration of their musical training. Previous studies have focused on investigating musicians with training in Western classical music. However, mus...

Listening histories are rich sources of implicit information. Combining listening histories of multiple users allows comparisons in musical taste and discovery of new music, though few existing work specifically addresses this issue. In this paper we present two interactive visualizations which give users a deeper insight into consent and dissent in their listening behaviors, and help them to c...

In the past few years, automatic genre classification has become one of the most interesting topics in the Music Information Retrieval (MIR) field. Musical genre is one of the most valuable metadata when managing huge music databases and many successful efforts have been done to automatically compute it. Basically, timbric and rhythmic description of audio is used for this purpose. From our poi...

This paper presents a corpus-based study on rhythmic patterns in the RAG-collection of approximately 11.000 symbolically encoded ragtime pieces. While characteristic musical features that define ragtime as a genre have been debated since its inception, musicologists argue that specific syncopation patterns are most typical for this genre. Therefore, we investigate the use of syncopation pattern...

Music Genre classification on Neural Network is presented in this article. The research work uses spectrogram images generated from the songs timeslices and given as input to NN do of their respective musical genre. focuses analyzing parameters model. Using two different datasets implementing technique we have achieved an optimized result. Convolutional model article classifies 10 classes Genre...

Several months before the outbreak of the First World War, a new piece of popular musical theatre opened at the Gaiety Theatre in London’s West End. After the Girl told the story of Doris Pitt, the daughter of a Cincinnati millionaire sent to Brussels to complete her education. When her father arrives on a visit in Paris, he finds her ‘corrupted’ and determines to send her back home. Doris, how...