This paper describes an auto-tagging system presented to MIREX 2011 that represents a “Bag of Systems” (BoS) representation of music. Similar to the Bag of Words representation for text documents, the BoS representation uses a dictionary of musical codewords, where each codeword is a generative model that captures timbral and temporal characteristics of music. Songs are represented as a BoS his...

The number of songs available on the Internet has grown steadily over the last decade, with the recent growth being due mainly to streaming services. As a consequence, it is extremely di cult for users to find the appropriate music that suit their needs, in particular, while using systems that do not have any previous information about them. This is further exacerbated while selecting appropria...

A cover song is a new performance or recording of a previously recorded music by an artist other than the original one. The automatic identification of cover songs is useful for a wide range of tasks, from fans looking for new versions of their favorite songs to organizations involved in licensing copyrighted songs. This is a difficult task given that a cover may differ from the original song i...

A cover song is a new performance or recording of a previously recorded music by an artist other than the original one. The automatic identification of cover songs is useful for a wide range of tasks, from fans looking for new versions of their favorite songs to organizations involved in licensing copyrighted songs. This is a difficult task given that a cover may differ from the original song i...

This contribution addresses the problem of chorus detection foraudio thumbnailing. We utilise the similarity matrix in order to locate within a pop song the position of its chorus (to be the audio thumbnail). Our focus lies on the problem of analysing the similarity matrix. We do so by filtering its elements including methods known from image processing and using the resulting data. The algorit...

In most popular music, the vocals sung by the lead singer are the focal point of the song. The unique qualities of a singer’s voice make it relatively easy for us to identify a song as belonging to that particular artist. With little training, if one i s familiar with a particular singer’s voice one can usually recognize that voice in other pieces, even when hearing a song for the first time. T...

Music recommender systems o‰en operate in sequential mode by suggesting a collection of songs that constitute a listening session. Œis task is usually called automated music playlist generation and it has been previously studied in the literature with di‚erent successful approaches based on, e.g., variations of collaborative €ltering or content-based similarity. Some of the proposed playlist mo...

The relationship between mood and creativity has been widely studied in psychology, however, no conclusion is reached in terms of which mood triggers high creativity, positive or negative. This paper provides new insights to this on-going argument by examining the relationship between lyrics creativity and music mood. We use three computational measures to gauge lyrics creativity: Type-toToken ...

Cognitive representations of musical structure have long been of interest to psychologists and musicians. This project addresses comprehension of and long-term memory for musical form, a debated topic in music cognition. We use three methods: a corpus of Billboard magazine’s top 10 songs for each of the last 20 years; a probabilistic grammar derived from this corpus; and an experiment testing p...

The fast-spreading development of online streaming services has enabled people from all over the world to listen to music. However, it is not always straightforward for a given user to find the “right” song version he or she is looking for. As streaming services may be affected by the potential dissatisfaction among their customers, the quality of songs and the presence of tags (or labels) asso...