Music perception is highly intertwined with both emotions and context. Not surprisingly, many of the users’ information seeking actions aim at retrieving music songs based on these perceptual dimensions – moods and themes, expressing how people feel about music or which situations they associate it with. In order to successfully support music retrieval along these dimensions, powerful methods a...

This paper describes an algorithm to measure the similarity of two multimedia objects, such as songs or movies, using users’ preferences. Much of the previous work on query-by-example (QBE) or music similarity uses detailed analysis of the object’s content. This is difficult and it is often impossible to capture how consumers react to the music. We argue that a large collection of user’s prefer...

APOPCALEAPS is a logic-based music generation program that uses high level probabilistic rules. The music produced by APOPCALEAPS is controlled by parameters that can be customized by a user to create personalized songs. Perlin noise is a type of gradient noise algorithm which generates smooth and controllable variations of random numbers. This paper introduces the idea of using a Perlin noise ...

Poor pitch resolution interferes with cochlear implant users’ ability to recognize music from pitch cues alone. We examined the possibility that prelingually deaf implant users could identify familiar hit songs from commercial recordings presented with or without words. Young implant users 8–18 years of age and age-matched hearing controls attempted to identify original and altered recordings o...

Automatic extraction of frequent repeated patterns in music material is an interesting problem. This paper presents an effective approach of unsupervised frequent pattern discovery method from symbolic music sources. Patterns are discovered even if they are transposed. Experiments on some songs suggest that our approach is promising, specially when dealing with songs that include non-exact repe...

In order to navigate through music libraries the common practice is to browse through lists of meta data. However, for libraries with thousands of songs a visual view of the library is more practical for browsing. There are standalone applications for music library visualization which use content-based features of the songs. These applications usually lack usability and features compared to sop...

In recent years, there has been growing focus on the study of automated recommender systems. Music recommendation systems serve as a prominent domain for such works, both from an academic and a commercial perspective. To our knowledge, most of these systems focus on predicting the preference of individual songs independently based on a learned model of a listener. However, a relatively well kno...

In recent years, there has been growing focus on the study of automated recommender systems. Music recommendation systems serve as a prominent domain for such works, both from an academic and a commercial perspective. A fundamental aspect of music perception is that music is experienced in temporal context and in sequence. In this work we present DJ-MC, a novel reinforcement-learning framework ...

Music is recognized as an effective mode of teaching young children but is rarely used in university-level science courses. This article reviews the somewhat limited evidence on whether and how content-rich music might affect college students' understanding of science and offers practical suggestions for incorporating music into courses. Aside from aiding memorization, songs may potentially imp...