Generating music has a few notable differences from generating images and videos. First, music is an art of time, necessitating a temporal model. Second, music is usually composed of multiple instruments/tracks, with close interaction with one another. Each track has its own temporal dynamics, but collectively they unfold over time interdependently. Lastly, for symbolic domain music generation,...

The Bologna Process model of higher education has been introduced into some Australian universities since 2008. This model promoted university study through a liberal arts philosophy that advanced a worldview approach at the undergraduate level. The model generalized the student experience and eliminated undergraduate specialization. An interesting situation for music undergraduate study thus a...

abstract despite the existence of long-standing ties between poetry and music, sanāyi, the famous poet of the sixth century, was a serious opponent unlike many other poets. he overtly blamed music as erotic art and composed poems blaming music. the author describes sanāyi’s opinion about music in this paper and explores the terms of his disagreement. in the meantime, social backgrounds of his o...

Computer music analysis is investigated, with speciic reference to the current research elds of automatic music transcription, human music perception, pitch determination, note and stream segmentation, score generation, time-frequency analysis techniques, and musical grammars. Human music perception is investigated from two perspectives: the computational model perspective desires an algorithm ...

PRISM is a probabilistic-logical programming language based on Prolog. We present a PRISM-implementation of a general model for polyphonic music, based on Hidden Markov Models. Its probability parameters are automatically learned by running the built-in EM-algorithm of PRISM on training examples. We show how the model can be used as a classifier for music that guesses the composer of unknown fr...

In this paper, we propose a music evaluation method. In this method, impressions of given music are represented by features by value, so that the music impressions are processed on computers. To obtain the music impressions, we experiment music impressions by using a semantic differential method. Then, we construct several models based on the experimental results with multiregression analysis. ...

research on popular music in iran has a short history. perhaps the article “sociology of the music of the masses in iran”, published in 1980, can be considered as the first methodological and systematic study on the popular music in iran.  in that article, the researcher, using marxist and neo-marxist approaches to study popular music, provides a general view on the music of the masses of the p...

0957-4174/$ see front matter 2008 Elsevier Ltd. A doi:10.1016/j.eswa.2008.09.042 q Part of the content of this paper has been publi International Conference on Multimedia, 2005. * Corresponding author. Tel.: +886 2 29393091x67 E-mail address: [email protected] (M.-K. Sh With the growth of digital music, the development of music recommendation is helpful for users to pick desirable music pie...

Music emotion plays an important role in music retrieval, mood detection and other music-related applications. Many issues for music emotion recognition have been addressed by different disciplines such as physiology, psychology, cognitive science and musicology. We present a support vector regression (SVR) based Music Information Retrieval System (Emotion based). We have chosen the “Raga” para...