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Music in the AI Era : 15th International Symposium, CMMR 2021, Virtual Event, November 15–19, 2021, Revised Selected Papers / edited by Mitsuko Aramaki, Keiji Hirata, Tetsuro Kitahara, Richard Kronland-Martinet, Sølvi Ystad
(Lecture Notes in Computer Science. ISSN:16113349 ; 13770)

データ種別	電子ブック
版	1st ed. 2023.
出版者	(Cham : Springer International Publishing : Imprint: Springer)
出版年	2023
大きさ	XI, 332 p. 135 illus., 96 illus. in color : online resource
著者標目	Aramaki, Mitsuko editor Hirata, Keiji editor Kitahara, Tetsuro editor Kronland-Martinet, Richard editor Ystad, Sølvi editor SpringerLink (Online service)

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URL	巻　次	配架場所	請求記号	登録番号	コメント	刷　年	状　態	利用注記	ISBN	予約	請求メモ
URL		射水-電子	007	EB0002881	Computer Scinece R0 2005-6,2022-3				9783031353826

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一般注記	Music technology in the IA era -- KANSEI Informatics and Music Technology in AI Era -- On Parallelism in Music and Language: A Perspective from Symbol Emergence Systems based on Probabilistic Generative Models -- WaVAEtable Synthesis -- Deep Learning-based Music Instrument Recognition: Exploring Learned Feature Representations -- Time-span Tree Leveled by Duration of Time-span -- Evaluating AI as an Assisting Tool to Create Electronic Dance Music -- Interactive systems for music -- Suiview: A Web-based Application that Enables Users to Practice Wind Instrument Performance -- Continuous Parameter Control Using an On/Off Sensor in the Augmented Handheld Triangle -- Networked and Collaborative Musical Play Amongst Humans and Virtual Biological Agents in Locus Diffuse -- Towards an Aesthetic of Hybrid Performance Practice -- Development of Audio Descriptors Inspired by Schaefferian Criteria: a Set of Tools for Interactive Exploration of Percussive Sounds -- A Polytemporal Model for Musical Scheduling -- Interaction Strategies in Composition for Karlax and Acoustic Instruments -- Music Information Retrieval and Modeling -- Modelling Moral Traits with Music Listening Preferences and Demographics -- Classification of 1950 to 1960 Electronic Music Using the VGGish Neural Network and Random Forest -- Knowledge Transfer from Neural Networks for Speech Music Classification -- Predominant Instrument Recognition in Polyphonic Music Using Convolutional Recurrent Neural Networks -- The Matrix Profile for Motif Discovery in Audio - An Example Application in Carnatic Music -- A Rule-based Method for Implementing Implication-Realization Model -- Music and Performance Analysis -- CROCUS: Dataset of Critique Documents of Musical Performance -- A Psychoacoustic-Based Methodology for Sound Mass Music Analysis -- Musical Structure Analysis and Generation through Abstraction Trees -- Analysis of Musical Dynamics in Vocal Performances -- With Love: Electroacoustic, Audiovisual, and Telematic Music This book constitutes the refereed proceedings and revised selected papers from the 15th International Symposium on Music in the AI Era, CMMR 2021, which took place during November 15–19, 2021 as a virtual event. The 24 full papers included in this book were carefully reviewed and selected from 48 submissions. The papers are grouped in thematical sessions on Music technology in the IA era; Interactive systems for music; Music Information Retrieval and Modeling; and Music and Performance Analysis HTTP:URL=https://doi.org/10.1007/978-3-031-35382-6
件　名	LCSH:User interfaces (Computer systems) LCSH:Human-computer interaction LCSH:Artificial intelligence LCSH:Image processing—Digital techniques LCSH:Computer vision LCSH:Education—Data processing LCSH:Computer networks FREE:User Interfaces and Human Computer Interaction FREE:Artificial Intelligence FREE:Computer Imaging, Vision, Pattern Recognition and Graphics FREE:Computers and Education FREE:Computer Communication Networks
分　類	LCC:QA76.9.U83 LCC:QA76.9.H85 DC23:005.437 DC23:004.019
書誌ID	EB00002269
ISBN	9783031353826