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Sound And Video Anthology: Content Comput. Music J. (IF 0.481) Pub Date : 2020-10-30
Computer Music Journal, Volume 43, Issue 4, Page 121-121, Winter 2019.
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Sound and Video Anthology: Program Notes Comput. Music J. (IF 0.481) Pub Date : 2020-10-30 Mara Helmuth; Judith Shatin; Annea Lockwood; Elizabeth Hoffman; Elsa Justel; Judy Klein; Elizabeth Hinkle-Turner; Laurie Spiegel; Hildegard Westerkamp; Natasha Barrett; Margaret Schedel; Paula Matthusen; Carla Scaletti; Katharine Norman; Frances White; Esther Lamneck
Computer Music Journal, Volume 43, Issue 4, Page 110-120, Winter 2019.
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Products of Interest Comput. Music J. (IF 0.481) Pub Date : 2020-10-30
Computer Music Journal, Volume 43, Issue 4, Page 94-109, Winter 2019.
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Four Decades of Music Research, Creation, and Education at Padua's Centro di Sonologia Computazionale Comput. Music J. (IF 0.481) Pub Date : 2020-10-30 Sergio Canazza; Giovanni De Poli
Computer Music Journal, Volume 43, Issue 4, Page 58-80, Winter 2019.
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Data-Driven Analysis of Tiny Touchscreen Performance with MicroJam Comput. Music J. (IF 0.481) Pub Date : 2020-10-30 Charles Patrick Martin; Jim Torresen
Computer Music Journal, Volume 43, Issue 4, Page 41-57, Winter 2019.
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The Role of Nonlinear Dynamics in Musicians' Interactions with Digital and Acoustic Musical Instruments Comput. Music J. (IF 0.481) Pub Date : 2020-10-30 Tom Mudd; Simon Holland; Paul Mulholland
Computer Music Journal, Volume 43, Issue 4, Page 25-40, Winter 2019.
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Software for Interactive and Collaborative Creation in the Classroom and Beyond: An Overview of the Soundcool Software Comput. Music J. (IF 0.481) Pub Date : 2020-10-30 Stefano Scarani; Adolfo Muñoz; Jaime Serquera; Jorge Sastre; Roger B. Dannenberg
Computer Music Journal, Volume 43, Issue 4, Page 12-24, Winter 2019.
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Letters Comput. Music J. (IF 0.481) Pub Date : 2020-10-30
Computer Music Journal, Volume 43, Issue 4, Page 7-11, Winter 2019.
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News Comput. Music J. (IF 0.481) Pub Date : 2020-10-30
Computer Music Journal, Volume 43, Issue 4, Page 5-6, Winter 2019.
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Announcements Comput. Music J. (IF 0.481) Pub Date : 2020-10-30
Computer Music Journal, Volume 43, Issue 4, Page 4-4, Winter 2019.
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About This Issue Comput. Music J. (IF 0.481) Pub Date : 2020-10-30
Computer Music Journal, Volume 43, Issue 4, Page 1-1, Winter 2019.
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Products of Interest Comput. Music J. (IF 0.481) Pub Date : 2020-06-29
Computer Music Journal, Volume 43, Issue 2-3, Page 172-201, Summer/Fall 2019.
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Automated Harmonization of Bass Lines from Bach Chorales: A Hybrid Approach Comput. Music J. (IF 0.481) Pub Date : 2020-06-29 Gilbert Wassermann; Mark Glickman
In this article, a combination of two novel approaches to the harmonization of chorales in the style of J. S. Bach is proposed, implemented, and profiled. The first is the use of the bass line, as opposed to the melody, as the primary input into a chorale-harmonization algorithm. The second is a compromise between methods guided by music knowledge and by machine-learning techniques, designed to mimic
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Digitizing the Txalaparta: Computer-Based Study of a Traditional Practice Comput. Music J. (IF 0.481) Pub Date : 2020-06-29 Enrique Hurtado; Thor Magnusson; Josu Rekalde
This article describes a software implementation dealing with the ancient Basque musical tradition of the txalaparta. The research is different from earlier studies of the txalaparta in that, by digitizing the instrument and its performance rules, we have had to formalize and make explicit conventions that hitherto have been tacit knowledge of improvisational practice. Analysis through software development
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Learning of Hierarchical Temporal Structures for Guided Improvisation Comput. Music J. (IF 0.481) Pub Date : 2020-06-29 Ken Déguernel; Emmanuel Vincent; Jérôme Nika; Gérard Assayag; Kamel Smaïli
This article focuses on learning the hierarchical structure of what we call a “temporal scenario” (for instance, a chord progression) to perform automatic improvisation consistently over several different time scales. We first present a way to represent hierarchical structures with a phrase structure grammar. Such a grammar enables us to analyze a scenario at several levels of organization, creating
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Rapid Composition for Networked Devices: HappyBrackets Comput. Music J. (IF 0.481) Pub Date : 2020-06-29 Angelo Fraietta; Oliver Bown; Sam Ferguson; Sam Gillespie; Liam Bray
This article introduces an open-source Java-based programming environment for creative coding of agglomerative systems using Internet-of-Things (IoT) technologies. Our software originally focused on digital signal processing of audio—including synthesis, sampling, granular sample playback, and a suite of basic effects—but composers now use it to interface with sensors and peripherals through general-purpose
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Tuning Playfully: Composed and Adaptive Tunings in bitKlavier Comput. Music J. (IF 0.481) Pub Date : 2020-06-29 Dan Trueman; Aatish Bhatia; Michael Mulshine; Theo Trevisan
Combining a new software system with the familiar interface of the MIDI keyboard, bitKlavier is a versatile instrument for exploring the nature of tuning and temperament. We describe a number of approaches it facilitates, including composed tunings, moving fundamental systems, and a novel system for adaptive tuning. All of these are characterized by the overarching design priority for bitKlavier to
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Preparing the Digital Piano: Introducing bitKlavier Comput. Music J. (IF 0.481) Pub Date : 2020-06-29 Dan Trueman; Michael Mulshine
This article describes a new kind of digital musical instrument, a novel assemblage of the familiar MIDI keyboard with custom interactive software. Inspired by John Cage's prepared piano, our instrument both takes advantage of and subverts the pianist's hard-earned, embodied training, while also inviting an extended configuration stage that “prepares” the instrument to behave in composition-specific
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Large-Scale Physical Modeling Synthesis, Parallel Computing, and Musical Experimentation: The NESS Project in Practice Comput. Music J. (IF 0.481) Pub Date : 2020-06-29 Stefan Bilbao; James Perry; Paul Graham; Alan Gray; Kostas Kavoussanakis; Gordon Delap; Tom Mudd; Gadi Sassoon; Trevor Wishart; Samson Young
Sound synthesis using physical modeling, emulating systems of a complexity approaching and even exceeding that of real-world acoustic musical instruments, is becoming possible, thanks to recent theoretical developments in musical acoustics and algorithm design. Severe practical difficulties remain, both at the level of the raw computational resources required, and at the level of user control. An approach
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Physical Modeling, Algorithms, and Sound Synthesis: The NESS Project Comput. Music J. (IF 0.481) Pub Date : 2020-06-29 Stefan Bilbao; Charlotte Desvages; Michele Ducceschi; Brian Hamilton; Reginald Harrison-Harsley; Alberto Torin; Craig Webb
Synthesis using physical modeling has a long history. As computational costs for physical modeling synthesis are often much greater than for conventional synthesis methods, most techniques currently rely on simplifying assumptions. These include digital waveguides, as well as modal synthesis methods. Although such methods are efficient, it can be difficult to approach some of the more detailed behavior
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Letters Comput. Music J. (IF 0.481) Pub Date : 2020-06-29
Computer Music Journal, Volume 43, Issue 2-3, Page 9-14, Summer/Fall 2019.
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News Comput. Music J. (IF 0.481) Pub Date : 2020-06-29
Computer Music Journal, Volume 43, Issue 2-3, Page 6-8, Summer/Fall 2019.
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Announcements Comput. Music J. (IF 0.481) Pub Date : 2020-06-29
Computer Music Journal, Volume 43, Issue 2-3, Page 4-5, Summer/Fall 2019.
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Erratum Comput. Music J. (IF 0.481) Pub Date : 2020-06-29
Computer Music Journal, Volume 43, Issue 2-3, Page 3-3, Summer/Fall 2019.
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About This Issue Comput. Music J. (IF 0.481) Pub Date : 2020-06-29
Computer Music Journal, Volume 43, Issue 2-3, Page 1-1, Summer/Fall 2019.