Musical genre classification task falls into two major stages: feature extraction and classification. The latter implies a choice of a variety of machine leaning methods, as support vector machines, neural networks, etc. However, the former stage provides much more creativity in development of musical genre classification system and it plays crucial part in performance of the system as a whole....

The recent progress of Electronic Music Distribution creates a natural pressure for fine-grained musical metadata. This metadata is needed to provide music distribution services which are able to cope with the mere size of music catalogues, and the desire of users to access music titles by similarity. In this context, we describe a project of a global music title metadatabase, and focus in the ...

Musicians' skills in auditory processing depend highly on instrument, performance practice, and on level of expertise. Yet, it is not known though whether the style/genre of music might shape auditory processing in the brains of musicians. Here, we aimed at tackling the role of musical style/genre on modulating neural and behavioral responses to changes in musical features. Using a novel, fast ...

Genre provides one of the most convenient categorizations of music, but it is often regarded as a poorly defined or largely subjective musical construct. In this work, we provide evidence that musical genres can to a large extent be objectively modeled via a combination of musical attributes. We employ a data-driven approach utilizing a subset of 48 hand-labeled musical attributes comprising in...

This paper examines the potential of high-level features extracted from symbolic musical representations in regards to musical classification. Twenty features are implemented and tested by using them to classify 225 MIDI files by genre. This system differs from previous automatic genre classification systems, which have focused on low-level features extracted from audio data. Files are classifi...

A software system that automatically classifies MIDI files into hierarchically organized taxonomies of musical genres is presented. This extensible software includes an easy to use and flexible GUI. An extensive library of high-level musical features is compiled, including many original features. A novel hybrid classification system is used that makes use of hierarchical, flat and round robin c...

For centuries, storytellers and scops recited epics and national, tribal, historical, and religious stories for people, through musical speeches. Some of these narrators wrote down what they recited, and some others dictated them for scribes to be recorded. Some kings and lords also had scops in their courts to recite the stories to scribes. One of the old, oral stories of Persian literature th...

We present a genre classification framework for audio music based on a symbolic classification system. Audio signals are transformed to a symbolic representation of harmony using a chord transcription algorithm, by computing Harmonic Pitch Class Profiles. Then, language models built from a groundtruth of chord progressions for each genre are used to perform classification. We show that chord pr...

In the last ten years, computer-based systems have been developed to automatically classify music according to a high-level musical concept such as genre or instrumentation. These automatic music annotation systems are useful for the storage and retrieval of music from a large database of musical content. In general, a system begins by extracting features for each song. The labels and features ...