The problem of speech, music and music with songs discrimination in telephony with handsets variability is addressed in this paper. Two systems are proposed. The first system uses three Gaussian Mixture Models (GMM) for speech, music and songs respectively. Each GMM comprises 8 Gaussians trained on very short sessions. Twenty six speakers (13 females, 13 males) have been randomly chosen from th...

We describe different ways of organizing large collections of music with databionic mining techniques. The Emergent Self-Organizing Map is used to cluster and visualize similar artists and songs. The first method is the MusicMiner system that utilizes semantic descriptions learned from low level audio features for each song. The second method uses tags that have been assigned to songs and artis...

We present a prototype system for organization and exploration of music archives that adapts to the user’s way of structuring music collections. Initially, a growing self-organizing map is induced that clusters the music collection. The user has then the possibility to change the location of songs on the map by simple drag-and-drop actions. Each movement of a song causes a change in the underly...

Music emotion recognition (MER) aims to recognize the affective content of a piece of music, which is important for applications such as automatic soundtrack generation and music recommendation. MER is commonly formulated as a supervised learning problem. In practice, except for Pop music, there is little labeled data in most genres. In addition, emotion is genre specific in music and thus the ...

The problem of speech, music and music with songs discrimination in telephony with handsets variability is addressed in this paper. Two systems are proposed. The first system uses three Gaussian Mixture Models (GMM) for speech, music and songs respectively. Each GMM comprises 8 Gaussians trained on very short sessions. Twenty six speakers (13 females, 13 males) have been randomly chosen from th...

Although music and the emotion it conveys unfold over time, little is known about how listeners respond to shifts in musical emotions. A special technique in heavy metal music utilizes dramatic shifts between loud and soft passages. Loud passages are penetrated by distorted sounds conveying aggression, whereas soft passages are often characterized by a clean, calm singing voice and light accomp...

As the amount, availability and use of online music increase, music recommendation becomes an important field of research. Collaborative, content-based and case-based recommendation systems and their hybrids have been used for music recommendation. There are already a number of online music recommendation systems. Although specific user information, such as, demographic data, education and orig...

How is it possible for song and dance to exist in political incarceration and manifest itself later as public policy responding to apartheid atrocities? Examining the body of songs, oral history accounts, and eye-witness reports provided by fellow-prisoners of Mandela on Robben Island prison, I uncover a psychological environment mediated through music and dance--within the confines of a politi...

Music tempo (speed) is one of the most important features of a song. With successful classification of the tempo of song, content-based music browsing may utilize this feature and search/recommend songs in the same category of tempo. With some paper survey we noticed that prior works were focused on the numerical tempo value instead of the human perceptual speed of song. We proposed Inter-Onset...

We report evidence that long-term memory retains absolute (accurate) features of perceptual events. Specifically, we show that memory for music seems to preserve the absolute tempo of the musical performance. In Experiment 1, 46 subjects sang two different popular songs from memory, and their tempos were compared with recorded versions of the songs. Seventy-two percent of the productions on two...