Audio visualizers are programs that take in music and produce images that correspond to the music in some pleasing way. In most songs there are several different parts: the verse, chorus, a solo, and so on. Ideally, a music visualizer would change its output to match the different parts of the song. While it is quite easy for humans to detect the difference between different parts of songs the ...

Games based on human computation are a valuable tool for collecting semantic information about images. We show how to transfer this idea into the music domain in order to collect high-quality semantic data for songs. We present Listen Game, a online, multiplayer game that measures the semantic relationship between music and words. In the normal mode, a player sees a list of semantically related...

This paper presents a rule based approach to extracting relations from unstructured music text sources. The proposed approach identifies and disambiguates musical entities in text, such as songs, bands, persons, albums and music genres. Candidate relations are then obtained by traversing the dependency parsing tree of each sentence in the text with at least two identified entities. A set of syn...

Along with the rapid expansion of digital music formats, managing and searching for songs has become significant. Though music information retrieval (MIR) techniques have been made successfully in last ten years, the development of music recommender systems is still at a very early stage. Therefore, this paper surveys a general framework and state-of-art approaches in recommending music. Two po...

Music is an art that loved by all the people of world. seen as key factor in uniting living beings world with God. There are many different types music found over Among them, Carnatic a branch Indian genres. genre mainly represents South India and worldwide. Our hymn joyful. consists three sections, namely: songs; instrumental music; mode dancing. "Geetham" means vocal music, "Vaathiyam" "Nirut...

This paper presents results from an on-going MIR study utilizing hundreds of melodic and timbre features based on power laws for content-based similarity retrieval. These metrics are incorporated into a music search engine prototype, called Armonique. This prototype is used with a corpus of 9153 songs encoded in both MIDI and MP3 to identify pieces similar to and dissimilar from selected songs....

Is this a new idea? Speculation about the musical nature of animal song goes back to ancient myths from all over the world, many of which claim that human music came from, or was inspired by, animal song. Imitations of animal songs populate traditional music from numerous cultures, and appear in some of the earliest notated music. Pieces by Vivaldi, Beethoven, and Messiaen, among others, includ...

We propose a music retrieval system that enables a user to retrieve a song by two different methods: by singing its melody or by saying its title. To allow the user to use those methods seamlessly without changing a voice input mode, a method of automatically discriminating between singing and speaking voices is indispensable. We therefore designed an automatic vocal style discriminator and bui...

This study evaluated whether music-induced aesthetic "chill" responses, which typically correspond to peak emotional experiences, can be objectively monitored by degree of pupillary dilation. Participants listened to self-chosen songs versus control songs chosen by other participants. The experiment included an active condition where participants made key presses to indicate when experiencing c...

Many music portals offer the possibility to explore music collections via browsing automatically generated music recommendations. In this paper we argue that such music recommender systems can be transformed into an equivalent recommendation graph. We then analyze the recommendation graph of a real-world content-based music recommender systems to find out if users can really explore the underly...