Idiomatic Patterns and Aesthetic Influence in Computer Music Languages

McPherson, Andrew; Tahiroğlu, Koray

doi:10.1017/s1355771819000463

Cited by 19 publications

(8 citation statements)

References 40 publications

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“…Sonar is just one of the powerful computing software in the computer, which has more information about music creation and also provides a broader platform for musicians to show themselves; they only need to copy, paste, and other simple operations by clicking the mouse to create music, they do not need to imagine the music performance, tone, etc., and then modify it again and again; the new way of music creation has greatly changed the way of composers in the past. The new way of composing music has greatly changed the way composers used to compose [14].…”

Section: Related Workmentioning

confidence: 99%

Digital Music Feature Recognition Based on Wireless Sensing Technology

2022

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With the rapid development of information technology, digital music is subsequently increasing in large quantities, and how a good integration of vocal input and recognition technology can be transformed into digital music can greatly improve the efficiency of music production while ensuring the quality and effect of music. This paper focuses on the implementation and application of human voice input and recognition technology in digital music creation, enabling users to generate digital music forms by simply humming a melodic fragment of a piece of music into a microphone. The paper begins with an introduction to digital music and speech recognition technology and goes on to describe the respective characteristics of various audio formats, which are selected as data sources for digital music creation based on the advantages of the files in terms of retrieval. Following that, the method of extracting musical information from music is described, and the main melody is successfully extracted from the multitrack file to extract the corresponding musical performance information. The feature extraction of humming input melody is further described in detail. The traditional speech recognition method of using short-time energy and short-time overzero rate features for speech endpoint detection is analyzed. Combining the characteristics of humming music, the method of cutting notes by two-stage cutting mode, i.e., combining energy saliency index, overzero rate, and pitch change, is adopted to cut notes, which leads to a substantial improvement in performance. The algorithm uses the melody extraction algorithm to obtain the melody line, merges the short-time segments of the melody line to reduce the error rate of emotion recognition, uses the melody line to segment the music signal to generate segmented segments, then abstracts the features of the segmented segments through a CNN-based structural model, and inputs the output of the model to the regressor in cascade with the melody contour features of the corresponding segmented segments to finally obtain the emotion V / A value of the segmented segments.

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Section: Related Workmentioning

confidence: 99%

Digital Music Feature Recognition Based on Wireless Sensing Technology

2022

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“…This article discusses the development of such a framework and the creation of a new toolkit for live coding in the Pure Data (Pd) programming language, which is a visual language used for creating real-time interactive media (Puckette 1996). McPherson and Tahıroğlu (2020) point out that all music technology systems afford idiomatic practices. Following Heidegger (1977), such affordances are widely acknowledged as a principle of technological thinking and practice.…”

Section: Introductionmentioning

confidence: 99%

Live Coding Patterns and a Toolkit for Pure Data

Brown

2023

Org. Sound

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Creative activities often involve specific processes and techniques that reflect the unique nature of the activity. For live coders, these processes and techniques can be expressed as algorithms and functions in live coding languages. In many fields, these idiomatic processes are referred to as design patterns. Design patterns are important to understand because they can structure thought and direct users towards particular outcomes. This article examines the design patterns in live coding practices and languages, specifically focusing on the Live Coding Toolkit for Pure Data. Pure Data is a visual programming language, but few live coders have traditionally used it. This article explains how the Live Coding Toolkit allows Pure Data to effectively express the patterns of practice required for successful music live coding performance.

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“…Mcpherson and Tahıroglu studied the ways in which computer music language may also affect the aesthetic decision-making of digital music practitioners, with particular attention to the concept of habituation. en, he communicated with developers of several major music-programming languages, and conducted surveys on creators of digital musical instruments, examining the relationship between idiomatic patterns of the language and the characteristics of the generated instruments and music, but the research lacks data support [2]. In this article, Hayes introduces the large-scale project of sound, electronics, and music.…”

Section: Introductionmentioning

confidence: 99%

Analysis of Music Teaching in Basic Education Integrating Scientific Computing Visualization and Computer Music Technology

Zhao

2022

Mathematical Problems in Engineering

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In the current music education, the music teaching method is too simple, boring, relatively backward, unable to attract the attention of the students, and the students gradually lose their interest in music courses. In basic education, music, as a highly practical subject, must create a good classroom atmosphere, make the classroom active, and enable students to better experience music, enjoy music, and like music. Therefore, in order to change this situation, this paper, based on scientific computing visualization, studies the application of computer music technology in basic education music teaching, and proposes a related computing method based on scientific computing visualization-image segmentation method. This review compares the spectrum extraction accuracy between the improved algorithm and the two traditional algorithms and finds that the average accuracy of the improved algorithm is 90.88%. It can be seen that the method proposed in this review is more suitable for the study of computer music technology in basic education music teaching. Applied research and most students are more interested in music teaching combined with computer music technology, so learning music teaching combined with computer music technology is very necessary. The development of computer music technology is closely related to the development of modern information technology.

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Idiomatic Patterns and Aesthetic Influence in Computer Music Languages

Cited by 19 publications

References 40 publications

Digital Music Feature Recognition Based on Wireless Sensing Technology

Digital Music Feature Recognition Based on Wireless Sensing Technology

Live Coding Patterns and a Toolkit for Pure Data

Analysis of Music Teaching in Basic Education Integrating Scientific Computing Visualization and Computer Music Technology

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