We developed a neural network model for studying neural mechanisms underlying complex syntactical songs of the Bengalese finch, which result from interactions between sensori-motor nuclei, the nucleus HVC (HVC) and the nucleus interfacialis (NIf). Results of simulations are tested by comparison with the song development of real young birds learning the same songs from their fathers. The model s...

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...

The recognition of text and tune in songs was examined in a music-agnosic patient and five matched controls. Listeners had to focus on one component of the song at a time (text or music) and had to decide whether the component was familiar or unfamiliar. Songs were either matched (i.e., an original familiar or an original unfamiliar song) or mismatched (a combination of a familiar component wit...

We tested the hypothesis that memory or perceptual limitations imposed by song repertoires contrain the ability of song birds to recognize their neighbours by song. Using operant conditioning procedures, we trained male song sparrows (Melospiza melodia) (median repertoire size = 8) to discriminate between two artificial song sparrow repertoires of 32 songs each (64 songs total). Both song sparr...

Early environmental enrichment improves postnatal cognition in animals and humans. Here, we examined the effects of the prenatal acoustic environment (parental song rate) on prenatal attention in superb fairy-wren (Malurus cyaneus) embryos, the only songbird species with evidence of prenatal discrimination of maternal calls and in ovo call learning. Because both adults also sing throughout the ...

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...

, Female Molothrus ater from Oklahoma at the subspecies border with M.a. obscurus were tested for their discrimination of songs from their native area and from Austin, Texas. This 400-km distance is characterized by a structural shift in the male cowbird's inclusion of the mid-song element, a structure found in the songs of Austin and the more southern M.a. obscurus populations but not in the s...

BACKGROUND Vocal learning is a central functional constituent of human speech, and recent studies showing that adult male mice emit ultrasonic sound sequences characterized as "songs" have suggested that the ultrasonic courtship sounds of mice provide a mammalian model of vocal learning. OBJECTIVES We tested whether mouse songs are learned, by examining the relative role of rearing environmen...

Digital music applications have become an increasingly popular means of listening to music. Applications such as Spotify allows the user to add songs to his/her playlist without downloading the song to his/her computer. The user can also be recommended songs by Spotify through Spotify’s “Discover" option. Pandora— an online radio—generates a radio station based on a single user-inputted artist,...

In this digital music era, sorting and discovery of songs is getting harder and more time consuming than before, due to the large pool of songs out there. Many music recommendation system and other similar applications in the market make use of collaborative filtering and social recommendation to suggest music to listeners. However, the problem arises when there is not enough information collec...