Detrended fluctuation analysis (DFA) has been proposed by Peng et al. [1] to be used on biomedical data. It originates from fractal analysis and reveals correlations within data series across different time scales. Jennings et al. [2] used a DFA-derived feature, the detrended variance fluctuation exponent, for musical genre classification introducing the method to the music analysis field. In t...

This paper presents recent results using statistics generated by a MMI-supervised vector quantizer as a measure of audio similarity. Such a measure has proved successful for talker identiication, and the extension from speech to general audio, such as music, is straightforward. A classiier that distinguishes speech from music and non-vocal sounds is presented, as well as experimental results sh...

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,” c...

This article argues for the prematurity of any dismissal of the notion of authenticity as meaningful within popular music discourse. It synthesises a range of views as to how authenticity is constructed, and offers a tri-partite typology dependent on asking who, rather than what, is being authenticated. It focuses on rock and folk genres, but also argues that the generic nature of the typology ...

abstract genre-based approach has been the focus of interest in the teaching of language since the mid1980s. genre is defined in terms of the use of language in conventionalized communicative settings. the present study made an attempt to scrutinize the effects of genre-based pedagogy on iranian pre-intermediate efl leaners' reading comprehension as well as the interaction between their re...

The aim of this research was to automate the composition of convincingly “real” music in specific musical genres. By “real” music we mean music which is not obviously “machine generated”, is recognizable as being of the selected genre, is perceived as aesthetically pleasing, and is usable in a commercial context. To achieve this goal, various computational techniques were used, including geneti...

The most common approaches to the automatic recognition of musical key are template-based, i.e., an extracted pitch chroma vector is compared to a template key profile in order to identify the most similar key. General as well as domainspecific templates have been used in the past, but to the authors best knowledge there has been no study that evaluated genre-specific key profiles extracted fro...