標(biāo)題: Titlebook: Handbook of Artificial Intelligence for Music; Foundations, Advance Eduardo Reck Miranda Book 2021 Springer Nature Switzerland AG 2021 Arti [打印本頁(yè)] 作者: ARSON 時(shí)間: 2025-3-21 19:49
書目名稱Handbook of Artificial Intelligence for Music影響因子(影響力)
書目名稱Handbook of Artificial Intelligence for Music影響因子(影響力)學(xué)科排名
書目名稱Handbook of Artificial Intelligence for Music網(wǎng)絡(luò)公開度
書目名稱Handbook of Artificial Intelligence for Music網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱Handbook of Artificial Intelligence for Music被引頻次
書目名稱Handbook of Artificial Intelligence for Music被引頻次學(xué)科排名
書目名稱Handbook of Artificial Intelligence for Music年度引用
書目名稱Handbook of Artificial Intelligence for Music年度引用學(xué)科排名
書目名稱Handbook of Artificial Intelligence for Music讀者反饋
書目名稱Handbook of Artificial Intelligence for Music讀者反饋學(xué)科排名
作者: 奴才 時(shí)間: 2025-3-21 21:36
Cognitive Musicology and Artificial Intelligence: Harmonic Analysis, Learning, and Generation, that such original creativity is more naturally accommodated in the world of symbolic reasoning that allows links and inferences between diverse concepts at highly abstract levels. Moreover, symbolic representations and processing facilitate interpretability and explanation that are key components 作者: SHOCK 時(shí)間: 2025-3-22 02:42
ry, from management systems for recording studios to recommendation systems for online commercialization of music through the Internet. Yet whereas AI for online music distribution is well advanced, this book focuses on a largely unexplored application:? AI for creating the actual musical content..978-3-030-72118-3978-3-030-72116-9作者: voluble 時(shí)間: 2025-3-22 08:22 作者: 打火石 時(shí)間: 2025-3-22 09:08 作者: Trochlea 時(shí)間: 2025-3-22 13:11 作者: 蘑菇 時(shí)間: 2025-3-22 20:04 作者: nepotism 時(shí)間: 2025-3-22 22:18 作者: 挖掘 時(shí)間: 2025-3-23 02:18
https://doi.org/10.1057/978-1-349-95238-0fare services, every aspect of social life in industrialised societies is being captured by technology with the objective of human enhancement, optimised services or automated management. Among these technologies, Machine Learning (ML) and the broader field of Artificial Intelligence (AI) received considerable attention in the past decades.作者: IVORY 時(shí)間: 2025-3-23 05:49 作者: 最后一個(gè) 時(shí)間: 2025-3-23 11:43 作者: 緯度 時(shí)間: 2025-3-23 15:21
https://doi.org/10.1007/978-3-031-47581-8stions about the meaningful evaluation of such AI, and argue that music practitioners should be integral to the research pursuit. We ground our discussion in specific music AI that model symbolic transcriptions of traditional dance music of Ireland and Scandinavia. Finally, we discuss several ethical dimensions of such work.作者: 遷移 時(shí)間: 2025-3-23 18:16
Artificial Intelligence for Music Composition,e compositional ideas. In this context, AI is viewed as an agent contributing to a distributed human–computer co-creativity and extending human capabilities, rather than a replacement for human creativity.作者: 煤渣 時(shí)間: 2025-3-24 01:23 作者: 吸引人的花招 時(shí)間: 2025-3-24 02:28
,On Modelling Harmony with Constraint Programming for Algorithmic Composition Including a?Model of St Programming (CP) is a paradigm based on explicitly encoded compositional rules. The paradigm allows to directly implement traditional rules, such as rules found in music theory textbooks, as well as non-standard rules, e.g., rules formulated by composers to model their own composition techniques when using this paradigm.作者: surrogate 時(shí)間: 2025-3-24 07:37 作者: hurricane 時(shí)間: 2025-3-24 13:10
Folk the Algorithms: (Mis)Applying Artificial Intelligence to Folk Music,stions about the meaningful evaluation of such AI, and argue that music practitioners should be integral to the research pursuit. We ground our discussion in specific music AI that model symbolic transcriptions of traditional dance music of Ireland and Scandinavia. Finally, we discuss several ethical dimensions of such work.作者: Precursor 時(shí)間: 2025-3-24 15:54 作者: 刻苦讀書 時(shí)間: 2025-3-24 20:46
http://image.papertrans.cn/h/image/420833.jpg作者: 大溝 時(shí)間: 2025-3-25 02:47 作者: Mendicant 時(shí)間: 2025-3-25 07:02 作者: amyloid 時(shí)間: 2025-3-25 08:41
https://doi.org/10.1007/978-1-349-18132-2Representation and analysis of musical structures in heart signals can benefit understanding of cardiac electrophysiology aberrations such as arrhythmias, which can in turn aid in the diagnosis and treatment of cardiac arrhythmias.作者: 易怒 時(shí)間: 2025-3-25 14:35 作者: 偶像 時(shí)間: 2025-3-25 19:17
https://doi.org/10.1057/9780333978085This chapter reflects on about 10 years of research in AI-assisted music composition, in particular during the Flow Machines project. We reflect on the motivations for such a project, its background, its main results and impact, both technological and musical, several years after its completion.作者: 牢騷 時(shí)間: 2025-3-25 20:50
This chapter presents a detailed example of expressive music performance that focuses on performance creativity.作者: 刺耳 時(shí)間: 2025-3-26 03:29
Sociocultural and Design Perspectives on AI-Based Music Production: Why Do We Make Music and What CThe recent advance of artificial intelligence (AI) technologies that can generate musical material.作者: averse 時(shí)間: 2025-3-26 06:13 作者: Atheroma 時(shí)間: 2025-3-26 11:24 作者: 意外的成功 時(shí)間: 2025-3-26 12:58 作者: 媽媽不開心 時(shí)間: 2025-3-26 16:52
Assisted Music Creation with Flow Machines: Towards New Categories of New,This chapter reflects on about 10 years of research in AI-assisted music composition, in particular during the Flow Machines project. We reflect on the motivations for such a project, its background, its main results and impact, both technological and musical, several years after its completion.作者: Bother 時(shí)間: 2025-3-26 23:08
Performance Creativity in Computer Systems for Expressive Performance of Music,This chapter presents a detailed example of expressive music performance that focuses on performance creativity.作者: 實(shí)施生效 時(shí)間: 2025-3-27 01:45 作者: 徹底檢查 時(shí)間: 2025-3-27 07:20 作者: Cubicle 時(shí)間: 2025-3-27 11:30
https://doi.org/10.1057/9780230584419ty that has enabled music throughout history. Much of the act of creating new music, such as in music composition, is an effortful process that requires prolonged persistence, motivation, and dedication. However, other aspects of musical creativity, such as musical improvisation, have an appearance 作者: cunning 時(shí)間: 2025-3-27 17:34
Mohammad Alauddin,Clement Tisdellnderpinnings of music processing including not only sensory perception (e.g., pitch, rhythm, and timbre) but also local/non-local structural processing (e.g., melody and harmony).?This chapter reviews the neural correlates of unsupervised learning with regard to the computational and neuroanatomical作者: BOOST 時(shí)間: 2025-3-27 21:31
https://doi.org/10.1057/9781137329844rampant, the fields of Artificial Intelligence (AI) and Neuroscience waited until the mid-twentieth century before gaining their current titles and credence in academia, research, and knowledge of their existence among the populace as a whole (Nilsson in The Quest for Artificial Intelligence: A Hist作者: evasive 時(shí)間: 2025-3-28 00:14
https://doi.org/10.1007/978-3-031-55444-5ays in which the brain and/or the mind works to build intelligent systems. Hence, studies in Philosophy, Psychology, Cognitive Science and more recently, the Neurosciences have been nourishing AI research since the field emerged in the 1950s, including, of course, AI for music.?The Neurosciences hav作者: 驕傲 時(shí)間: 2025-3-28 02:33 作者: Facilities 時(shí)間: 2025-3-28 08:02 作者: mydriatic 時(shí)間: 2025-3-28 10:37 作者: ANTH 時(shí)間: 2025-3-28 18:03
The “Asian Turn” in Russian Foreign Policyng to . the tracks together in a pleasant and aesthetically pleasing way. Music mixing practices require the pleasant combination of all aspects of a musical piece, using a set of engineering tools to do so.作者: Fecundity 時(shí)間: 2025-3-28 21:59
Michael Browning,James Schummers,Scott Bentzt 1998 universal classification modeling of music as an information source, style mixing using joint information source, variable-length motif dictionary improvisation based on universal prediction, and use of information dynamics for symbolic approximation in the factor oracle machine improvisation作者: jabber 時(shí)間: 2025-3-29 02:59
https://doi.org/10.1007/978-3-031-47581-8stions about the meaningful evaluation of such AI, and argue that music practitioners should be integral to the research pursuit. We ground our discussion in specific music AI that model symbolic transcriptions of traditional dance music of Ireland and Scandinavia. Finally, we discuss several ethica作者: 有機(jī)體 時(shí)間: 2025-3-29 06:38 作者: 充氣球 時(shí)間: 2025-3-29 09:20 作者: 助記 時(shí)間: 2025-3-29 12:05 作者: Fermentation 時(shí)間: 2025-3-29 17:59
Neuroscience of Musical Improvisation,ty that has enabled music throughout history. Much of the act of creating new music, such as in music composition, is an effortful process that requires prolonged persistence, motivation, and dedication. However, other aspects of musical creativity, such as musical improvisation, have an appearance 作者: Flinch 時(shí)間: 2025-3-29 20:41
Discovering the Neuroanatomical Correlates of Music with Machine Learning,nderpinnings of music processing including not only sensory perception (e.g., pitch, rhythm, and timbre) but also local/non-local structural processing (e.g., melody and harmony).?This chapter reviews the neural correlates of unsupervised learning with regard to the computational and neuroanatomical作者: 防御 時(shí)間: 2025-3-30 02:00
Music, Artificial Intelligence and Neuroscience,rampant, the fields of Artificial Intelligence (AI) and Neuroscience waited until the mid-twentieth century before gaining their current titles and credence in academia, research, and knowledge of their existence among the populace as a whole (Nilsson in The Quest for Artificial Intelligence: A Hist作者: 臭了生氣 時(shí)間: 2025-3-30 04:21
Creative Music Neurotechnology,ays in which the brain and/or the mind works to build intelligent systems. Hence, studies in Philosophy, Psychology, Cognitive Science and more recently, the Neurosciences have been nourishing AI research since the field emerged in the 1950s, including, of course, AI for music.?The Neurosciences hav作者: Salivary-Gland 時(shí)間: 2025-3-30 10:49 作者: 反話 時(shí)間: 2025-3-30 15:10
,On Modelling Harmony with Constraint Programming for Algorithmic Composition Including a?Model of St Programming (CP) is a paradigm based on explicitly encoded compositional rules. The paradigm allows to directly implement traditional rules, such as rules found in music theory textbooks, as well as non-standard rules, e.g., rules formulated by composers to model their own composition techniques w作者: 表臉 時(shí)間: 2025-3-30 18:42 作者: 一再遛 時(shí)間: 2025-3-30 23:05 作者: 使長(zhǎng)胖 時(shí)間: 2025-3-31 01:06
Machine Improvisation in Music: Information-Theoretical Approach,t 1998 universal classification modeling of music as an information source, style mixing using joint information source, variable-length motif dictionary improvisation based on universal prediction, and use of information dynamics for symbolic approximation in the factor oracle machine improvisation作者: 慌張 時(shí)間: 2025-3-31 07:04
Folk the Algorithms: (Mis)Applying Artificial Intelligence to Folk Music,stions about the meaningful evaluation of such AI, and argue that music practitioners should be integral to the research pursuit. We ground our discussion in specific music AI that model symbolic transcriptions of traditional dance music of Ireland and Scandinavia. Finally, we discuss several ethica作者: interference 時(shí)間: 2025-3-31 12:27 作者: MORT 時(shí)間: 2025-3-31 13:53 作者: 弄污 時(shí)間: 2025-3-31 18:36 作者: Picks-Disease 時(shí)間: 2025-3-31 22:17
Michael Browning,James Schummers,Scott Bentzenerative neural music models in terms of rate-distortion theory. This information-theoretical framework offers a novel view of man–machine creative music interaction as a communication problem between an artificial agent and a musician, seeking optimal trade-off between novelty and stylistic imitation under scarcity constraints.作者: intricacy 時(shí)間: 2025-4-1 02:19
Neuroscience of Musical Improvisation,sical output seemingly in real time. How is this real-time creativity possible: how does the brain tackle the problem of musical improvisation, and how does it accomplish this feat? Can improvisation be learned, and if so, how?作者: MAIM 時(shí)間: 2025-4-1 07:23 作者: 尊重 時(shí)間: 2025-4-1 11:07
