Jacques de Liege: The Modes as Musical Patterns

Author(s):  
F. Joseph Smith
Keyword(s):  
Author(s):  
Fernando Berzal ◽  
Waldo Fajardo ◽  
Aída Jiménez ◽  
Miguel Molina-Solana
Keyword(s):  

Author(s):  
David Huron

A distinction is made between part-writing and voice leading. Even though music may exhibit correct part-writing, the music may nevertheless sounds like it is meandering aimlessly: voice leading adds the sense of tending, yearning, resolution, or momentum that contributes to the feeling of music “going somewhere.” Research on melodic expectation is summarized. When the music fails to conform to expected voice movements, the music is likely to evoke a wandering or purposeless quality. Predictability transforms good part-writing into good voice leading. Predictability is increased when musical patterns follow the norms and clichés of established styles. Familiarity with a given musical work also increases predictability. For unfamiliar works, predictability is increased when music makes use of recurring or imitative figures, themes, or motives.


1974 ◽  
Vol 38 (2) ◽  
pp. 419-428 ◽  
Author(s):  
Philip J. Chamberlain

To determine whether patterning of pitch or duration contributes most to the recognition of melodic structures, tone sequences resembling musical patterns or melodies were used in a recognition memory task. Nine categories of pattern complexity were produced by using three different levels of average information per tone in each of the two dimensions. These categories of tone sequences were presented to groups of Ss and their recognition performance measured. Only patterning of pitch was a significant factor in recognition. Performance was better with larger values of average information per tone, but behavior at maximum values of pitch information suggested that the relationship between performance and pattern information is nonmonotonic.


Author(s):  
Diana Deutsch

In this groundbreaking synthesis of art and science, Diana Deutsch, one of the world’s leading experts on the psychology of music, shows how illusions of music and speech – many of which she discovered - have fundamentally altered thinking about the brain. These astonishing illusions show that people can differ strikingly in how they hear musical patterns - differences that reflect both variations in brain organization and influences of language on music perception. They lead Deutsch to examine questions such as: When an orchestra performs a symphony, what is the ‘real’ music? Is it in the mind of the composer, or the conductor, or different members of the audience? Deutsch also explores extremes of musical ability, and other rare responses to music and speech. Why is perfect pitch so rare? Why are some people unable to recognize simple tunes? Why do some people hallucinate music or speech? Why do we hear phantom words and phrases? Why are most people subject to stuck tunes, or ‘earworms’? Why do we hear a spoken phrase as sung just because it is presented repeatedly? In evaluating these questions, she also shows how music and speech are intertwined, and argues that they stem from an early form of communication that had elements of both. Many of the illusions described here are so striking and paradoxical that you need to hear them to believe them. So the book enables you to listen to the sounds that are described while reading about them.


1987 ◽  
Vol 41 (6) ◽  
pp. 635-641 ◽  
Author(s):  
Sandra E. Trehub
Keyword(s):  

Author(s):  
Samarjit Roy ◽  
Sudipta Chakrabarty ◽  
Debashis De

In Indian Classical Music (ICM) perspective, Raga is formed from the different and correct combination of notes. If it is observed the history of Indian Classical Raga in ICM, the playing or serving each of the ragas has some unique sessions. The procedure is to suggest the classifications of playing a raga has been attempted to display by explaining unique musical features and pattern matching. This contribution has been represented how music structures can be advanced through a more conceptual demonstration and consent to unambiguously describe process of computational modeling of Musicology which signify the challenge on complete musical composition from the elementary vocal objects of ICM usage using Neural Networks. In Neural network the samples of various ragas have been taken as input and classify them according to the times of the performance. Over 90% accuracy level has achieved using entire Confusion Matrices and Error Histogram performance evaluation technique.


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