In this paper, we use Hidden Markov Models (HMMs) for abstracting the style of a composer and for recognizing it out of an unknown excerpt. We employed a data set of 605 musical themes written by five well-known composers (Mozart, Beethoven, Dvorak, Stravinsky, Beatles). A preliminary investigation based on descriptive statistics served the purpose of choosing a group of suitable music represen...

It is commonly believed that task performance is improved by listening to Mozart’s music. Although this so-called Mozart effect is not often discussed in scientific literatures, those psychological experiments that have addressed it tend to confirm its existence. For example, college students who listened to Mozart’s Sonata KV.448 scored 8 to 9 points higher on the IQ test than students who had...

Experience has shown that therapy using music for therapeutic purposes has certain effects on neuropsychiatric disorders (both functional and organic disorders). However, the mechanisms of action underlying music therapy remain unknown, and scientific clarification has not advanced. While that study disproved the Mozart effect, the effects of music on the human body and mind were not disproved....

Abstract The harpsichords supposedly owned or played by Handel have long been the subject of scholarly enquiry, in recent years mainly to try match their compasses and disposition his solo music, a strategy also used, for instance, with instruments associated J. S. Bach Mozart. Similarly, Grant O’Brien, John Koster others tried determine how Ruckers-family might used play early 17th-century key...

The Mozart effect is an increase in spatial reasoning scores detected immediately after listening to the first movement of a Mozart piano sonata. Rauscher and Shaw (1998) suggested that failure to produce a Mozart effect could arise from carryover effects of a spatial reasoning pretest which may interfere with the effect of listening to Mozart. They cited an unpublished study in which a verbal ...

Chord recognition is a fundamental task in the harmonic analysis of tonal music, in which music is processed into a sequence of segments such that the notes in each segment are consistent with a corresponding chord label. We propose a machine learning model for chord recognition that uses semi-Markov Conditional Random Fields (semiCRFs) to perform a joint segmentation and labeling of symbolic m...

Because classical music has greatly affected our life and culture in its long history, it has attracted extensive attention from researchers to understand laws behind it. Based on statistical physics, here we use a different method to investigate classical music, namely, by analyzing cumulative distribution functions (CDFs) and autocorrelation functions of pitch fluctuations in compositions. We...