[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-126476-en":3,"doc-seo-126476-105":31,"detail-sidebar-cat-0-en-105":93},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":20,"is_deleted":4,"is_public":21,"is_downloadable":21,"audit_status":21,"page_count":22,"language":23,"language_code":24,"site_id":25,"html_lang":24,"table_of_contents":26,"faqs":27,"seo_title":28,"seo_description":14,"update_tm":29,"read_time":30},126476,962084925290,"Ophelia","https://ap-avatar.wpscdn.com/davatar_085a072bc5b1113ac321206ff7593b45",8,"Research & Report","MUSICAL IMPROVISATION WITH MACHINE LEARNING AND GENERATIVE COMPOSITION - Dissertation","A dissertation exploring the intersection of carbon and silicon intelligence through applied artificial intelligence for musical creativity. It reviews human–AI musical works from early digital computing to contemporary examples, then presents a clarinet-and-electronics suite built to both perform concert music and train a machine learning system to generate responses. Detailed analysis covers compositional features, electronics design, and sound synthesis methods, while framing the project’s conceptual implications for AI-assisted composition in current and historical ideological contexts.","GENERIC: MUSICAL IMPROVISATION WITH MACHINE LEARNING AND GENERATIVE COMPOSITION  \n\n| A Dissertation\u003Cbr>Submitted to the Temple University Graduate Board |\n| --- |\n| In Partial Fulfillment of the Requirements for the Degree DOCTOR OF PHILOSOPHY |\n\nby  \nSean G. Bailey  \nAugust 2025  \nExamining Committee Members:  \nMaurice Wright, Advisory Chair, Music Studies Adam Vidiksis, Music Studies  \nCharles Abramovic, Keyboard Studies  \nVincent J. Manzo, External Reader, Worcester Polytechnic Institute  \n© Copyright 2025  \nby Sean G. Bailey  \nAll Rights Reserved  \nii  \nABSTRACT  \nBoth investigative and creative in nature, GENERIC explores the nexus of carbon and silicon intelligence—evaluating and testing directions for the application of artificial intelligence (AI) techniques in the field of musical creativity. This task is first approached through an examination of selected existing musical works involving humans and AI systems, beginning near the advent of the digital computer and progressing through contemporary works. The project culminated in the creation of an eponymous musical suite for clarinet and electronics, in which a musical work was composed simultaneously for concert presentation and for the distinct purpose of training a machine learning system to generate a musical response—positioning an AI system as both a creative partner and a source of computerized musical improvisation. The compositional features, electronics design, and sound synthesis techniques employed throughout GENERIC are examined in detail, and the conceptual implications surrounding musical composition involving an AI system are contextualized against current and historical ideologies.  \nTo the many learners in my life, with gratitude.  \nACKNOWLEDGMENTS  \nTemple University has now been a musical and academic home to me for sometime. Since first joining the community, I have been continually struck by what a special place it is—thanks both to the wonderfully supportive students the school attracts and to the endless encouragement offered by the faculty, staff, and administration.  \nI owe a debt of gratitude to too many folks at Temple to mention directly, but it is worth noting that the members of the Examining Committee are listed along with the author on the title page for good reason—according to the common parlance, it is likely that each committee member has now spent more time with this document than any future reader will. I am deeply grateful for their contributions and support.  \nMaurice Wright both conceptualized the degree program in which I am enrolled and catalyzed my pursuit of it. At each stage of the journey, his quick wit, keen ability to distill even the most complicated concepts into understandable terms, and profound understanding of music and its role in the world helped to guide this project along.  \nFinally, and most significantly, I must thank my family and friends for their patience, kindness, and tireless support. That I can live a life so rich in music and filled with so many wonderful people is a great privilege, and it is in no small part a result of an upbringing emphasizing a strong work ethic and my parents’ unwavering belief in my future. This project closes a chapter that has been a source of great personal growth—one that has both left me with an immense feeling of gratitude and filled me with a renewed vigor and sense of curiosity towards music and the world around me.  \nTABLE OF CONTENTS  \nPage  \nABSTRACT .......................................................................................................................iii  \nDEDICATION ................................................................................................................... iv  \nACKNOWLEDGMENTS ................................................................................................... v  \nLIST OF FIGURES ............................................................................................................ ix  \nCHAPTER  \n1. INTR","cbCaihBdt09SyP4e","https://ap.wps.com/l/cbCaihBdt09SyP4e","pdf",1654406,11,1,130,"English","en",105,"# ABSTRACT\n# CHAPTER 1 - INTRODUCTION\n# CHAPTER 2 - MUSIC AND ARTIFICIAL INTELLIGENCE, IN SELECTED REVIEW\n## Hiller, Isaacson, and ILLIAC\n## David Cope and EMI\n## Brian Eno and Generative Music\n## George Lewis and Voyager\n## Taylor Brook and Computer Improvisation\n# CHAPTER 3 - BACKGROUND ON RELEVANT TECHNOLOGY\n## A Brief History of Max\n## The Max Environment\n## Max for Live\n## Audio Effect Plug-ins in C++\n## BigPhatTone Audio Plug-in\n## MARS Audio Plug-in\n# CHAPTER 4 - COMPOSITIONAL EXAMPLE: GENERIC\n## Introduction\n## Part One: flutter","[{\"question\":\"What is the main focus of the dissertation GENERIC?\",\"answer\":\"It investigates how artificial intelligence techniques can be applied to musical creativity, specifically through improvisation and generative composition.\"},{\"question\":\"How was the project culminated in the musical suite?\",\"answer\":\"It created an eponymous clarinet-and-electronics suite composed for concert performance while also training a machine learning system to generate musical responses.\"},{\"question\":\"What technical and design elements are analyzed in the work?\",\"answer\":\"The dissertation examines the compositional features, electronics design, and sound synthesis techniques used throughout GENERIC, and links them to broader conceptual implications for AI-assisted composition.\"}]","MUSICAL IMPROVISATION WITH MACHINE LEARNING AND GENERATIVE COMPOSITION - 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