Cover song identification is a trivial problem for human beings. A human can easily identify whether a song is a cover of another or not, without using much effort. However, cover song identification is not an easy task for machines, as the numerical audio data differs significantly. Since a major goal of Machine Learning and Artificial Intelligence is to make machines mimic human-like cognitio...

Automatically generated playlists have become an important medium for accessing and exploring large collections of music. In this paper, we present a probabilistic model for generating coherent playlists by embedding songs and social tags in a unified metric space. We show how the embedding can be learned from example playlists, providing the metric space with a probabilistic meaning for song/s...

In many species, individuals discriminate among sexual signals of conspecific populations in the contexts of mate choice and male-male competition. Differences in signals among populations (geographical variation) are in part the result of signal evolution within populations (temporal variation). Understanding the relative effect of temporal and geographical signal variation on signal salience ...

With the popularity of song search applications on Internet and mobile phone, large scale similar song search has been attracting more and more attention in recent years. Similar songs are created by altering the volume levels, timing, amplification, or layering other songs on top of an original song. Given the large scale of songs uploaded on the Internet, it is demanding but challenging to id...

In mammals, complex songs are uncommon and few studies have examined song composition or the order of elements in songs, particularly with respect to regional and individual variation. In this study we examine how syllables and phrases are ordered and combined, ie "syntax", of the song of Tadarida brasiliensis, the Brazilian free-tailed bat. Specifically, we test whether phrase and song composi...

We conducted a tutoring experiment to determine whether female brown-headed cowbirds (Molothrus ater) would attend to vocalizations of other females and use those cues to influence their own preferences for male courtship songs. We collected recordings of male songs that were unfamiliar to the subject females and paired half of the songs with female chatter vocalizations-vocalizations that fema...

Closely related species of songbirds often show large differences in song syntax, suggesting that major innovations in syntax must sometimes arise and spread. Here we examine the response of male and female swamp sparrows, Melospiza georgiana, to an innovation in song syntax produced by males of this species. Young male swamp sparrows that have been exposed to tutor songs with experimentally in...

Music emotion recognition today is based on techniques that require high quality and large emotionally labeled sets of songs to train algorithms. Manual and professional annotations of songs are costly and hardly accomplished. There is a high need for datasets that are public, highly polarized, large in size and following popular emotion representation models. In this paper we present the steps...

We have been conducting research to develop a music information retrieval system which retrieves music based on user preferences. In order to conduct evaluation experiments, it is necessary to accumulate an experiment set of music data, and collect user ratings of each music data included in this data set. Two music data sets were prepared for user evaluation: the RWC Popular Music Database, wh...

This paper focuses on the synthesis of bird songs using Hidden Markov Models (HMM). This technique has been widely used for speech modeling and synthesis. However, features and contextual factors typically used for human speech are not appropriate for modeling bird songs. Moreover, while for speech we can easily control the content of the recordings, this is not the case for bird songs, where w...