Musical genres are labels used to distinguish between different types or categories of musical style. The growing amount of music that is available electronically, particularly in the World Wide Web, creates an arising need for automated classification. A typical application could be plugins for music management software or some sort of tool that automatically tags audio files according to its ...

Musical genre classification has been paramount in the last years, mainly in large multimedia datasets, in which new songs and genres can be added at every moment by anyone. In this context, we have seen the growing of musical recommendation systems, which can improve the benefits for several applications, such as social networks and collective musical libraries. In this work, we have introduce...

This paper presents some findings around musical genres. The main goal is to analyse whether there is any agreement between a group of experts and a community, when defining a set of genres and their relationships. For this purpose, three different experiments are conducted using two datasets: the MP3.com expert taxonomy, and last.fm tags at artist level. The experimental results show a clear a...

In this paper we present the Latin Music Database, a novel database of Latin musical recordings which has been developed for automatic music genre classification, but can also be used in other music information retrieval tasks. The method for assigning genres to the musical recordings is based on human expert perception and therefore capture their tacit knowledge in the genre labeling process. ...

This paper covers and also describes an ongoing research project focusing on new artistic possibilities by exchanging music technological methods and techniques between two distinct musical genres. Through my background as a guitarist and composer in an experimental metal band I have experienced a vast development in music technology during the last 20 years. This development has made a great i...

This extended abstract provides overview of the genre classification process in our submission for MIREX 2009. First, the scheme of extraction of features and use of them in the process of Musical Genre Classification is explained. In later part dataset and results obtained are described. Keywords—ISMIR, Genre, GMM, Timbre

This dissertation presents, discusses, and sheds some light on the problems that appear when computers try to automatically classify musical genres from audio signals. In particular, a method is proposed for the automatic music genre classification by using a computational approach that is inspired in music cognition and musicology in addition to Music Information Retrieval techniques. In this ...

Musical genre classification is a key problem in multimedia information retrieval. Traditional musical genre classification methods are complete supervised, i.e., large amount of annotations are needed. In addition, if more than one feature sets are used, they are simply concatenated to form a long feature vector, which is sometimes problematic. To solve these problems, we introduce to use mult...

A novel software system that automatically classifies musical recordings based on genre is presented and discussed. This system is intended as a demonstration of how automated musical feature extraction from MIDI files, machine learning and pattern recognition techniques can be applied to the general tasks of music classification and grouping. The nebulous definitions and overlapping boundaries...