{"title":"计算机辅助编曲中管弦乐品质修改的框架","authors":"Daniele Ghisi;Carmine-Emanuele Cella","doi":"10.1162/comj_a_00621","DOIUrl":null,"url":null,"abstract":"This article introduces the Orchidea Orchestral Qualities framework (OOQ), an extension of the Orchidea environment for computer-aided orchestration. Traditional target-based orchestration generally reconstructs a target sound “as faithfully as possible” with a collection of samples. But more often than not, composers do not have specific targets in mind while performing orchestration tasks. A large class of orchestration practices deal with the transformation of musical material to enhance or reduce certain of its qualities (such as making a score more “brilliant,” “blurry,” “dense,” and so on). The OOQ framework implements this idea by making use of an analogy with digital signal processing. Scores and sounds are no longer used as targets, but rather as “sources” to be processed, not unlike what happens within a channel strip of a modern digital audio workstation. This article presents the rationale behind the OOQ framework, describes the behavior of its modules, and traces a path for future research on the subject.","PeriodicalId":50639,"journal":{"name":"Computer Music Journal","volume":"45 4","pages":"57-72"},"PeriodicalIF":0.4000,"publicationDate":"2023-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Framework for Modifying Orchestral Qualities in Computer-Aided Orchestration\",\"authors\":\"Daniele Ghisi;Carmine-Emanuele Cella\",\"doi\":\"10.1162/comj_a_00621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This article introduces the Orchidea Orchestral Qualities framework (OOQ), an extension of the Orchidea environment for computer-aided orchestration. Traditional target-based orchestration generally reconstructs a target sound “as faithfully as possible” with a collection of samples. But more often than not, composers do not have specific targets in mind while performing orchestration tasks. A large class of orchestration practices deal with the transformation of musical material to enhance or reduce certain of its qualities (such as making a score more “brilliant,” “blurry,” “dense,” and so on). The OOQ framework implements this idea by making use of an analogy with digital signal processing. Scores and sounds are no longer used as targets, but rather as “sources” to be processed, not unlike what happens within a channel strip of a modern digital audio workstation. This article presents the rationale behind the OOQ framework, describes the behavior of its modules, and traces a path for future research on the subject.\",\"PeriodicalId\":50639,\"journal\":{\"name\":\"Computer Music Journal\",\"volume\":\"45 4\",\"pages\":\"57-72\"},\"PeriodicalIF\":0.4000,\"publicationDate\":\"2023-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computer Music Journal\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10302168/\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Music Journal","FirstCategoryId":"1085","ListUrlMain":"https://ieeexplore.ieee.org/document/10302168/","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
A Framework for Modifying Orchestral Qualities in Computer-Aided Orchestration
This article introduces the Orchidea Orchestral Qualities framework (OOQ), an extension of the Orchidea environment for computer-aided orchestration. Traditional target-based orchestration generally reconstructs a target sound “as faithfully as possible” with a collection of samples. But more often than not, composers do not have specific targets in mind while performing orchestration tasks. A large class of orchestration practices deal with the transformation of musical material to enhance or reduce certain of its qualities (such as making a score more “brilliant,” “blurry,” “dense,” and so on). The OOQ framework implements this idea by making use of an analogy with digital signal processing. Scores and sounds are no longer used as targets, but rather as “sources” to be processed, not unlike what happens within a channel strip of a modern digital audio workstation. This article presents the rationale behind the OOQ framework, describes the behavior of its modules, and traces a path for future research on the subject.
期刊介绍:
Computer Music Journal is published quarterly with an annual sound and video anthology containing curated music¹. For four decades, it has been the leading publication about computer music, concentrating fully on digital sound technology and all musical applications of computers. This makes it an essential resource for musicians, composers, scientists, engineers, computer enthusiasts, and anyone exploring the wonders of computer-generated sound.
Edited by experts in the field and featuring an international advisory board of eminent computer musicians, issues typically include:
In-depth articles on cutting-edge research and developments in technology, methods, and aesthetics of computer music
Reports on products of interest, such as new audio and MIDI software and hardware
Interviews with leading composers of computer music
Announcements of and reports on conferences and courses in the United States and abroad
Publication, event, and recording reviews
Tutorials, letters, and editorials
Numerous graphics, photographs, scores, algorithms, and other illustrations.