Computer Music Journal最新文献

Finite State Machines with Data Paths in Visual Languages for Music 音乐视觉语言中带有数据路径的有限状态机

Computer Music Journal Pub Date : 2024-09-04 DOI: 10.1162/comj_a_00688

Tiago Fernandes Tavares, José Eduardo Fornari

引用次数: 0

Generating Sonic Phantoms with Quadratic Difference Tone Spectrum Synthesis 利用二次差分音调频谱合成技术生成音效幻影

Computer Music Journal Pub Date : 2024-09-03 DOI: 10.1162/comj_a_00687

Esteban Gutiérrez, Christopher Haworth, Rodrigo F. Cádiz

{"title":"Generating Sonic Phantoms with Quadratic Difference Tone Spectrum Synthesis","authors":"Esteban Gutiérrez, Christopher Haworth, Rodrigo F. Cádiz","doi":"10.1162/comj_a_00687","DOIUrl":"https://doi.org/10.1162/comj_a_00687","url":null,"abstract":"Quadratic difference tones belong to a family of perceptual phenomena that arise from the neuromechanics of the auditory system in response to particular physical properties of sound. Long deployed as “ghost” or “phantom” tones by sound artists, improvisers, and computer musicians, in this article we address an entirely new topic: How to create a quadratic difference tone spectrum (QDTS) in which a target fundamental and harmonic overtone series are specified and in which the complex tone necessary to evoke it is synthesized. We propose a numerical algorithm that solves the problem of how to synthesize a QDTS for a target distribution of amplitudes. The algorithm aims to find a solution that matches the desired spectrum as closely as possible for an arbitrary number of target harmonics. Results from experiments using different parameter settings and target distributions show that the algorithm is effective in the majority of cases, with at least 99% of the cases being solvable in real time. An external object for the visual programming language Max is described. We discuss musical and perceptual considerations for using the external, and we describe a range of audio examples that demonstrate the synthesis of QDTSs across different cases. As we show, the method makes possible the matching of QDTSs to particular instrumental timbres with surprising efficiency. Also included is a discussion of a musical work by composer Marcin Pietruszewski that makes use of QDTS synthesis.","PeriodicalId":50639,"journal":{"name":"Computer Music Journal","volume":"17 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142223863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Embodying Spatial Sound Synthesis with AI in Two Compositions for Instruments and 3-D Electronics 在两首乐器和三维电子乐作品中体现人工智能的空间声音合成技术

Computer Music Journal Pub Date : 2024-01-17 DOI: 10.1162/comj_a_00664

Aaron Einbond, Thibaut Carpentier, Diemo Schwarz, Jean Bresson

{"title":"Embodying Spatial Sound Synthesis with AI in Two Compositions for Instruments and 3-D Electronics","authors":"Aaron Einbond, Thibaut Carpentier, Diemo Schwarz, Jean Bresson","doi":"10.1162/comj_a_00664","DOIUrl":"https://doi.org/10.1162/comj_a_00664","url":null,"abstract":"The situated spatial presence of musical instruments has been well studied in the fields of acoustics and music perception research, but so far it has not been the focus of human-AI interaction. We respond critically to this trend by seeking to reembody interactive electronics using data derived from natural acoustic phenomena. Two musical works, composed for human soloist and computer-generated live electronics, are intended to situate the listener in an immersive sonic environment in which real and virtual sources blend seamlessly. To do so, we experimented with two contrasting reproduction setups: a surrounding Ambisonic loudspeaker dome and a compact spherical loudspeaker array for radiation synthesis. A large database of measured radiation patterns of orchestral instruments served as a training set for machine learning models to control spatially rich 3-D patterns for electronic sounds. These are exploited during performance in response to live sounds captured with a spherical microphone array and used to train computer models of improvisation and to trigger corpus-based spatial synthesis. We show how AI techniques are useful to utilize complex, multidimensional, spatial data in the context of computer-assisted composition and human-computer interactive improvisation.","PeriodicalId":50639,"journal":{"name":"Computer Music Journal","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139496833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Cocreative Interaction: Somax2 and the REACH Project 创意互动：Somax2 和 REACH 项目

Computer Music Journal Pub Date : 2024-01-16 DOI: 10.1162/comj_a_00662

Gérard Assayag, Laurent Bonnasse-Gahot, Joakim Borg

{"title":"Cocreative Interaction: Somax2 and the REACH Project","authors":"Gérard Assayag, Laurent Bonnasse-Gahot, Joakim Borg","doi":"10.1162/comj_a_00662","DOIUrl":"https://doi.org/10.1162/comj_a_00662","url":null,"abstract":"Somax2 is an AI-based multiagent system for human-machine coimprovisation that generates stylistically coherent streams while continuously listening and adapting to musicians or other agents. The model on which it is based can be used with little configuration to interact with humans in full autonomy, but it also allows fine real-time control of its generative processes and interaction strategies, closer in this case to a “smart” digital instrument. An offspring of the Omax system, conceived at the Institut de Recherche et Coordination Acoustique/Musique, the Somax2 environment is part of the European Research Council Raising Cocreativity in Cyber-Human Musicianship (REACH) project, which studies distributed creativity as a general template for symbiotic interaction between humans and digital systems. It fosters mixed musical reality involving cocreative AI agents. The REACH project puts forward the idea that cocreativity in cyber-human systems results from the emergence of complex joint behavior, produced by interaction and featuring cross-learning mechanisms. Somax2 is a first step toward this ideal, and already shows life-size achievements. This article describes Somax2 extensively, from its theoretical model to its system architecture, through its listening and learning strategies, representation spaces, and interaction policies.","PeriodicalId":50639,"journal":{"name":"Computer Music Journal","volume":"15 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139482224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Live Coding Machine Learning: Finding the Moments of Intervention in Autonomous Processes 实时编码机器学习：寻找自主进程中的干预时机

Computer Music Journal Pub Date : 2024-01-16 DOI: 10.1162/comj_a_00663

Iván Paz, Shelly Knottsy

引用次数: 0

Tool or Actor? Expert Improvisers' Evaluation of a Musical AI “Toddler” 工具还是演员?即兴专家对音乐人工智能“蹒跚学步”的评价

Computer Music Journal Pub Date : 2023-11-10 DOI: 10.1162/comj_a_00657

Çağrı Erdem, Benedikte Wallace, Kyrre Glette, Alexander Refsum Jensenius

引用次数: 0

Composing the Assemblage: Probing Aesthetic and Technical Dimensions of Artistic Creation with Machine Learning 组合:用机器学习探索艺术创作的美学与技术维度

Computer Music Journal Pub Date : 2023-11-10 DOI: 10.1162/comj_a_00658

Artemi-Maria Gioti, Aaron Einbond, Georgina Born

{"title":"Composing the Assemblage: Probing Aesthetic and Technical Dimensions of Artistic Creation with Machine Learning","authors":"Artemi-Maria Gioti, Aaron Einbond, Georgina Born","doi":"10.1162/comj_a_00658","DOIUrl":"https://doi.org/10.1162/comj_a_00658","url":null,"abstract":"Abstract In this article we address the role of machine learning (ML) in the composition of two new musical works for acoustic instruments and electronics through autoethnographic reflection on the experience. Our study poses the key question of how ML shapes, and is in turn shaped by, the aesthetic commitments characterizing distinctive compositional practices. Further, we ask how artistic research in these practices can be informed by critical themes from humanities scholarship on material engagement and critical data studies. Through these frameworks, we consider in what ways the interaction with ML algorithms as part of the compositional process differs from that with other music technology tools. Rather than focus on narrowly conceived ML algorithms, we take into account the heterogeneous assemblage brought into play: from composers, performers, and listeners to loudspeakers, microphones, and audio descriptors. Our analysis focuses on a deconstructive critique of data as being contingent on the decisions and material conditions involved in the data creation process. It also explores how interaction among the human and nonhuman collaborators in the ML assemblage has significant similarities to—as well as differences from—existing models of material engagement. Tracking the creative process of composing these works, we uncover the aesthetic implications of the many nonlinear collaborative decisions involved in composing the assemblage.","PeriodicalId":50639,"journal":{"name":"Computer Music Journal","volume":"57 24","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135091945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Complementary Roles of Note-Oriented and Mixing-Oriented Software in Student Learning of Computer Science plus Music 笔记型和混合型软件在学生计算机音乐学习中的互补作用

Computer Music Journal Pub Date : 2023-08-08 DOI: 10.1162/comj_a_00651

L. McCall, Jason Freeman, Tom McKlin, Taneisha Lee, Michael Horn, Brian Magerko

{"title":"Complementary Roles of Note-Oriented and Mixing-Oriented Software in Student Learning of Computer Science plus Music","authors":"L. McCall, Jason Freeman, Tom McKlin, Taneisha Lee, Michael Horn, Brian Magerko","doi":"10.1162/comj_a_00651","DOIUrl":"https://doi.org/10.1162/comj_a_00651","url":null,"abstract":"\u0000 Many introductory computer science educational platforms foster student interest and facilitate student learning through the authentic incorporation of music. Although many such platforms have demonstrated promising outcomes in student engagement across diverse student populations and learning contexts, little is known about the specific ways in which music and computer science learning are uniquely combined to support student knowledge in both domains. This study looks at two different learning platforms for computer science and music (CS-plus-music), TunePad and EarSketch, which were used by middle school students during a week-long virtual summer camp. Using both platforms, students created computational music projects, which we analyzed for characteristics of music and code complexity across multiple dimensions. Students also completed surveys before and after the workshop about their perceptions of the platforms and their own backgrounds, and we interviewed some students. The results suggest that different connections between music and computing concepts emerge, as well as different progressions through the concepts themselves, depending in part on the design affordances of the application programming interface for computer music in each platform. Coupled with prior findings about the different roles each platform may play in developing situational interest for students, these findings suggest that different CS-plus-musiclearning platforms can provide complementary roles that benefit and support learning and development of student interest.","PeriodicalId":50639,"journal":{"name":"Computer Music Journal","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44663145","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Automatic Detection of Cue Points for the Emulation of DJ Mixing 自动检测提示点的模拟DJ混音

Computer Music Journal Pub Date : 2023-08-08 DOI: 10.1162/comj_a_00652

Mickaël Zehren, Marco Alunno, P. Bientinesi

引用次数: 0

Recordings 录音

Computer Music Journal Pub Date : 2023-06-30 DOI: 10.4135/9781412972024.n2140

R. Feller

引用次数: 0