The Serial Collaborator: A Meta-Pianist for Real-Time Tonal and Non-Tonal Music Generation

Leonardo ◽  
2014 ◽  
Vol 47 (3) ◽  
pp. 260-261
Author(s):  
Roger T. Dean
Keyword(s):  
Real Time ◽  
Music Performance ◽  
Tonal Music ◽  
Interactive Music ◽  
Sequence Generation ◽  
Serial Music ◽  
Keyboard Music ◽  
Music Generation ◽  
Sequence Transformations

Serial music, which is mainly non-tonal, superimposes compositional freedom onto an unusually rigorous process of pitch-sequence transformations based on ‘tone rows’: a row is usually a sequence of notes using each of the 12 chromatic pitches once. Compositional freedom comprises forming chords from the sequences, and in multi-strand music, also in simultaneously presenting different segments of pitch-sequences. The present project coded a real-time serial music composer for automatic or interactive music performance. This Serial Keyboardist Collaborator can perform keyboard music which is impossible for a human to realize. Surprisingly, it was also useful in making more tonal music based on the same rigorous pitch-sequence generation.

scholarly journals Brain-Computer Music Interface for Music Expression

2020 ◽  
pp. 86-88
Author(s):  
Rafael Ramirez ◽  
Sergio Giraldo ◽  
Zacharias Vamvakousis
Keyword(s):  
Real Time ◽  
Emotional State ◽  
Music Performance ◽  
Computer Interface ◽  
Music Listening ◽  
Time System ◽  
Real Time System ◽  
Interactive Music ◽  
Eeg Data ◽  
Performance System

Active music listening is a way of listening to music through active interactions. In this paper we present an expressive brain-computer interactive music system for active music listening, which allows listeners to manipulate expressive parameters in music performances using their emotional state, as detected by a brain-computer interface. The proposed system is divided in two parts: a real-time system able to detect listeners’ emotional state from their EEG data, and a real-time expressive music performance system capable of adapting the expressive parameters of music based on the detected listeners’ emotion. We comment on an application of our system as a music neurofeedback system to alleviate depression in elderly people.

scholarly journals Chaotic Music Generation System Using Music Conductor Gesture

2013 ◽  
Vol 17 (2) ◽  
pp. 194-200 ◽  
Author(s):  
Shuai Chen ◽  
◽  
Yoichiro Maeda ◽  
Yasutake Takahashi
Keyword(s):  
Real Time ◽  
Microsoft Kinect ◽  
Human Beings ◽  
Generation System ◽  
Interactive Music ◽  
Music Generation

In research on interactive music generation, we propose a music generation method in which the computer generates music under the recognition of a humanmusic conductor’s gestures. In this research, generated music is tuned by parameters of a network of chaotic elements which are determined by the recognized gesture in real time. The music conductor’s hand motions are detected by Microsoft Kinect in this system. Music theories are embedded in the algorithm and, as a result, generated music is richer. Furthermore, we constructed the music generation system and performed experiments for generating music composed by human beings.

A Multimodal System for Gesture Recognition in Interactive Music Performance

2009 ◽  
Vol 33 (4) ◽  
pp. 69-82 ◽  
Author(s):  
Dan Overholt ◽  
John Thompson ◽  
Lance Putnam ◽  
Bo Bell ◽  
Jim Kleban ◽  
...  
Keyword(s):  
Gesture Recognition ◽  
Music Performance ◽  
Interactive Music ◽  
Multimodal System

Representing groove: Rhythmic structure in interactive music performance

1997 ◽  
Vol 102 (5) ◽  
pp. 3182-3182
Author(s):  
Vijay Iyer ◽  
Jeff Bilmes ◽  
Matt Wright ◽  
David Wessel
Keyword(s):  
Music Performance ◽  
Rhythmic Structure ◽  
Interactive Music

scholarly journals Deautomatization of Breakfast Perceptions

2018 ◽  
Author(s):  
Renate Wieser
Keyword(s):  
Real Time ◽  
Social Situation ◽  
Academic Disciplines ◽  
Interactive Music ◽  
Political Conditions ◽  
Way Of Thinking ◽  
Computational Processes

For the author of this chapter, art is a particular way of thinking: it implies the exploring of social and political conditions, not only with the means already provided by academic disciplines, but by finding out new ways to explore, conceptualize, and change them. The chapter describes an art project consisting of an ‘acoustic breakfast’. Sounds of breakfasting were recorded and transformed in real time to make communal interactive music. The author identifies the conflict between artists explaining algorithmic processes to participants and the desire for an informal social situation focussed on eating and drinking. Ideas from literary theorist Shklovsky are used to discuss automatized perceptions and the interest in defamiliarization. Was the acoustic breakfast deautomatizing the computational processes? The chapter discusses the same issue in relation to live coding.

Interactivity for Mobile Music-Making

2009 ◽  
Vol 14 (2) ◽  
pp. 197-207 ◽  
Author(s):  
Georg Essl ◽  
Michael Rohs
Keyword(s):  
Theoretical Analysis ◽  
Mobile Phones ◽  
Design Space ◽  
Music Performance ◽  
Live Performance ◽  
Interactive Music ◽  
Interactive Performance ◽  
Music Making ◽  
Mobile Music

Mobile phones offer an attractive platform for interactive music performance. We provide a theoretical analysis of the sensor capabilities via a design space and show concrete examples of how different sensors can facilitate interactive performance on these devices. These sensors include cameras, microphones, accelerometers, magnetometers and multitouch screens. The interactivity through sensors in turn informs aspects of live performance as well as composition though persistence, scoring, and mapping to musical notes or abstract sounds.

The shape of musical sound: Real‐time visualizations of expressiveness in music performance.

2010 ◽  
Vol 127 (3) ◽  
pp. 1983-1983 ◽  
Author(s):  
Gang Ren ◽  
Justin Lundberg ◽  
Mark F. Bocko ◽  
Dave Headlam
Keyword(s):  
Real Time ◽  
Music Performance ◽  
Musical Sound

SongBot: An Interactive Music Generation Robotic System for Non-musicians Learning from A Song

2021 ◽  
Author(s):  
Kaiwen Xue ◽  
Zhixuan Liu ◽  
Jiaying Li ◽  
Xiaoqiang Ji ◽  
Huihuan Qian
Keyword(s):  
Robotic System ◽  
Interactive Music ◽  
Music Generation
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