Online digital delivery allows the music companies to un-bundle their music albums and offer individual songs to the consumers. Consumers differ in their valuations of singles. A seller might now know the exact consumer valuations but there are resources available that would offer reliable information about consumer population. We develop a stylized model to investigate whether these song singl...

Music can induce different emotions in people. We propose a system that can identify music segments which induce specific emotions from the listener. The work involves building a knowledge base with mappings between affective states (happiness, sadness, etc.) and music features (rhythm, chord progression, etc.). Building this knowledge base requires background knowledge from music and emotions ...

In this work, we propose a method to identify and transcript the note of a Carnatic music signal. The main motive behind note transcription is that, it can be used as a good basis for music note information retrieval of Carnatic music songs or Film songs based on Carnatic music. The input monophonic music signal is analysed and made to pass through a signal frequency extracting algorithm. The f...

Recent evidence suggests that the musical rhythm of a particular culture may parallel the speech rhythm of that culture's language (Patel, A. D., & Daniele, J. R. (2003). An empirical comparison of rhythm in language and music. Cognition, 87, B35-B45). The present experiments aimed to determine whether listeners actually perceive such rhythmic differences in a purely musical context (i.e., in i...

The topic of song, songs, and singing extends across a vast number of art forms and genres back into prehistory. It stands astride the high-low art continuum, ranging from classical music to popular and folk music. Unlike other art forms that include both high and low genres (such as movies and novels), song and songs have always had multiple functions other than being objects of aesthetic appr...

Music streaming companies collectively serve billions of songs per day. Radio-based music services may intersperse audio advertisements among the songs as a means to generate revenue, much like traditional FM radio. Regardless of the monetization approach, the recommender system should decide when to play content that the listener is known to enjoy (exploit) and content that is novel to the lis...

A method for the estimation of music similarity based on a combination of timbre, rhythm and tonal content of the songs, is presented in this report. The rhythm is estimated by evaluating the frequency distribution of the tempo pattern of the songs, while the tonal content is estimated by the calculation of an averaged chroma profile of the song. The algorithm is proposed to be submitted to the...

Folk music is closely related to the musical culture of a specific nation or region. Even though folk songs have been passed down mainly by oral tradition, most musicologists study the relation between folk songs on the basis of symbolic music descriptions, which are obtained by transcribing recorded tunes into a score-like representation. Due to the complexity of audio recordings, once having ...

We present Poolcasting, a social Web radio architecture in which the group of listeners is able to influence in real time the music played on each channel. Poolcasting users contribute to the radio with songs they own, create radio channels and evaluate the proposed music, while an automatic intelligent technique schedules each channel with a group-customised sequence of musically associated so...

This report discusses dimensionality reduction techniques used to create a music map - a map where the distances between songs represent their similarity and that can be used to recommend songs. We evaluate two techniques: Isomap and L-Isomap.