the musical symbol is one way of expression among many other ways. it doesn`t directly correspond with meaning or reality. rather, it provides images that are representative of the original. however, symbols goes beyond this and provide deep significant symbolic meanings and visions. mystical poetry has a complex intellectual structure, particularly in arabic and persian literature. hence, musi...

Music has been shown to form an essential part of the human experience—every known society engages in music. However, as universal as it may be, music has evolved into a variety of genres, peculiar to particular cultures. In fact people acquire musical skill, understanding, and appreciation specific to the music they have been exposed to. This process of enculturation builds mental structures t...

in treating the subject of musical language, a persian musician would be intrinsically drawn to the structural similarities between the persian music and language. indeed persian music and language are extremely related in their metrics, intonations and structural phrases (syntax). although we will draw upon this relationship, our aim in this article is to present “music as a language,” consist...

As a major product for entertainment, there is a huge amount of digital musical content produced, broadcasted, distributed and exchanged. There is a rising demand for content-based music search services. Similarity-based music navigation is becoming crucial for enabling easy access to the ever-growing amount of digital music available to professionals and amateurs alike. This work presents new ...

This paper experimentally investigates the classification utility of combining features extracted from separate audio, symbolic and cultural sources of musical information. This was done via a series of genre classification experiments performed using all seven possible combinations and subsets of the three corresponding types of features. These experiments were performed using jMIR, a software...

In this paper we present an analysis of the suitability of four different feature sets which are currently employed to represent music signals in the context of the automatic music genre classification. To such an aim, feature selection is carried out through genetic algorithms, and it is applied to multiple feature vectors generated from different segments of the music signal. The feature sets...

The paper deals with question of music modeling and generation, capturing the idiomatic style of a composer or a genre, in an attempt to provide the computer with “creative”, human-like capabilities. The system described in the paper performs analyses of musical sequences and computes a model according to which new interpretations / improvisations close to the original's style can be generated....

Music genre classification, especially using lyrics alone, remains a challenging topic in Music Information Retrieval. In this study we apply recurrent neural network models to classify a large dataset of intact song lyrics. As lyrics exhibit a hierarchical layer structure—in which words combine to form lines, lines form segments, and segments form a complete song—we adapt a hierarchical attent...

Children with autism spectrum disorders (ASD) frequently display unusual reactions to sound, ranging from idiosyncratic responses to avoidances. This atypical sensitivity often decreases over time, but little is known about how early avoidance of sounds might affect later enjoyment of auditory stimuli such as music. We surveyed children and adolescents with ASD, and an age-matched group of typi...