scholarly journals A Theory of Music Analysis: On Segmentation and Associative Organization by Dora A. Hanninen

Notes ◽  
2014 ◽  
Vol 71 (2) ◽  
pp. 320-322
Author(s):  
Dimitris Exarchos
2017 ◽  
Vol 4 (2) ◽  
pp. 233-242
Author(s):  
Joseph Dubiel
Keyword(s):  

Author(s):  
Mitchell Ohriner

Originating in dance parties in the South Bronx in the late 1970s, hip hop and rap music have become a dominant style of popular music in the United States and a force for activism all over the world. So, too, has scholarship on this music grown, yet much of this scholarship, employing methods drawn from sociology and literature, leaves unaddressed the expressive musical choices made by hip-hop artists. This book addresses flow, the rhythm of the rapping voice. Flow presents theoretical and analytical challenges not encountered elsewhere. It is rhythmic as other music is rhythmic. But it is also rhythmic as speech and poetry are rhythmic. Key concepts related to rhythm, such as meter, periodicity, patterning, and accent, are treated independently in scholarship of music, poetry, and speech. This book reconciles those approaches, theorizing flow by integrating the methods of computational music analysis and humanistic close reading. Through the analysis of large collections of verses, it addresses questions in the theories of rhythm, meter, and groove in the unique ecology of rap music. Specifically, the work of Eminem clarifies how flow relates to text, the work of Black Thought clarifies how flow relates to other instrumental streams, and the work of Talib Kweli clarifies how flow relates to rap’s persistent meter. Although the focus throughout is rap music, the methods introduced are appropriate for other genres mix voices and more rigid metric frameworks and further extends the valuable work on hip hop from other perspectives in recent years.


2007 ◽  
Vol 18 (04) ◽  
pp. 859-871
Author(s):  
MARTIN ŠIMŮNEK ◽  
BOŘIVOJ MELICHAR

A border of a string is a prefix of the string that is simultaneously its suffix. It is one of the basic stringology keystones used as a part of many algorithms in pattern matching, molecular biology, computer-assisted music analysis and others. The paper offers the automata-theoretical description of Iliopoulos's ALL_BORDERS algorithm. The algorithm finds all borders of a string with don't care symbols. We show that ALL_BORDERS algorithm is an implementation of a finite state transducer of specific form. We describe how such a transducer can be constructed and what should be the input string like. The described transducer finds a set of lengths of all borders. Last but not least, we define approximate borders and show how to find all approximate borders of a string when we concern Hamming distance definition. Our solution of this problem is based on transducers again. This allows us to use analogy with automata-based pattern matching methods. Finally we discuss conditions under which the same principle can be used for other distance measures.


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