Analysis on the Aesthetic Spirit in Computer Music based on Wavelet Analysis and Signal Fusion

Author(s):  
Zhenjun Song
2020 ◽  
Vol 25 (1) ◽  
pp. 53-63 ◽  
Author(s):  
Andrew McPherson ◽  
Koray Tahıroğlu

It is widely accepted that acoustic and digital musical instruments shape the cognitive processes of the performer on both embodied and conceptual levels, ultimately influencing the structure and aesthetics of the resulting performance. In this article we examine the ways in which computer music languages might similarly influence the aesthetic decisions of the digital music practitioner, even when those languages are designed for generality and theoretically capable of implementing any sound-producing process. We examine the basis for querying the non-neutrality of tools with a particular focus on the concept of idiomaticity: patterns of instruments or languages which are particularly easy or natural to execute in comparison to others. We then present correspondence with the developers of several major music programming languages and a survey of digital musical instrument creators examining the relationship between idiomatic patterns of the language and the characteristics of the resulting instruments and pieces. In an open-ended creative domain, asserting causal relationships is difficult and potentially inappropriate, but we find a complex interplay between language, instrument, piece and performance that suggests that the creator of the music programming language should be considered one party to a creative conversation that occurs each time a new instrument is designed.


2017 ◽  
Vol 41 (1) ◽  
pp. 34-45 ◽  
Author(s):  
Kerry L. Hagan

This article documents a personal journey of compositional practice that led to the necessity for working with high-density loudspeaker arrays (HDLAs). I work with textural composition, an approach to composing real-time computer music arising from acousmatic and stochastic principles in the form of a sound metaobject. Textural composition depends upon highly mobile sounds without the need for trajectory-based spatialization procedures. In this regard, textural composition is an intermediary aesthetic—between “tape music” and real-time computer music, between sound objects and soundscape, and between point-source and trajectory-based, mimetic spatialization. I begin with the aesthetics of textural composition, including the musical and sonic spaces it needs to inhabit. I then detail the techniques I use to create textures for this purpose. I follow with the spatialization technique I devised that supports the aesthetic requirements. Finally, I finish with an example of an exception to my techniques, one where computational requirements and the HDLA required me to create a textural composition without my real-time strategies.


2014 ◽  
Author(s):  
Takahashi Tomoyo ◽  
Shinji Kitagami
Keyword(s):  

1997 ◽  
Vol 36 (04/05) ◽  
pp. 356-359 ◽  
Author(s):  
M. Sekine ◽  
M. Ogawa ◽  
T. Togawa ◽  
Y. Fukui ◽  
T. Tamura

Abstract:In this study we have attempted to classify the acceleration signal, while walking both at horizontal level, and upstairs and downstairs, using wavelet analysis. The acceleration signal close to the body’s center of gravity was measured while the subjects walked in a corridor and up and down a stairway. The data for four steps were analyzed and the Daubecies 3 wavelet transform was applied to the sequential data. The variables to be discriminated were the waveforms related to levels -4 and -5. The sum of the square values at each step was compared at levels -4 and -5. Downstairs walking could be discriminated from other types of walking, showing the largest value for level -5. Walking at horizontal level was compared with upstairs walking for level -4. It was possible to discriminate the continuous dynamic responses to walking by the wavelet transform.


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