標(biāo)題: Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 13th International C Colin Johnson,Sérgio M. Rebelo,Iria Santos Conference proceed [打印本頁] 作者: minutia 時(shí)間: 2025-3-21 17:30
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書目名稱Artificial Intelligence in Music, Sound, Art and Design讀者反饋
書目名稱Artificial Intelligence in Music, Sound, Art and Design讀者反饋學(xué)科排名
作者: Missile 時(shí)間: 2025-3-21 23:09 作者: Efflorescent 時(shí)間: 2025-3-22 02:10
,Deep Learning Approaches for?Sung Vowel Classification,dels, we find that a fine-tuned transformer performed the strongest; however, a convolutional or recurrent model may provide satisfactory results in resource-limited scenarios. This result implies that neural approaches trained directly on raw audio, without extracting spectral features, are viable 作者: 起來了 時(shí)間: 2025-3-22 04:35
,Weighted Initialisation of?Evolutionary Instrument and?Pitch Detection in?Polyphonic Music,ds to create false positives which may conceal the true potential of our modified approach. Regardless of that, our modification still shows significantly faster convergence speed and slightly improved pitch and instrument detection errors over the baseline algorithm on both single onset and full pi作者: 蝕刻術(shù) 時(shí)間: 2025-3-22 11:11
,Modelling Individual Aesthetic Preferences of?3D Sculptures, model is flexible enough to identify and respond to individual aesthetic preferences, handling the subjectivity at the root of aesthetic preference and providing a good base for further extension to strengthen the ability of the system to model individual aesthetic preference.作者: foodstuff 時(shí)間: 2025-3-22 16:41
,Adaptation and?Optimization of?AugmentedNet for?Roman Numeral Analysis Applied to?Audio Signals,ations and has shown that some of the optimization steps significantly increased the classification performance. We find that this adapted AugmentedNet can reach similar accuracy levels when faced with audio features as it achieves with the “cleaner” symbolic data on which it was originally trained.作者: Carcinogenesis 時(shí)間: 2025-3-22 17:19
,Generating Smooth Mood-Dynamic Playlists with?Audio Features and?KNN,ions and the variance of steps between songs, respectively. Our algorithm successfully creates smooth and evenly-spaced playlists that transition cohesively in both mood and genre. We explore how the choice of audio feature data, similarity metric, and KNN parameters all have an effect on playlists’作者: Noisome 時(shí)間: 2025-3-22 23:34 作者: 慷慨不好 時(shí)間: 2025-3-23 03:24
,Towards Sound Innovation Engines Using Pattern-Producing Networks and?Audio Graphs,ombination of Compositional Pattern Producing Network (CPPN) + Digital Signal Processing (DSP) graphs coupled with Multi-dimensional Archive of Phenotypic Elites (MAP-Elites) and a deep learning classifier can generate a substantial variety of synthetic sounds. The study concludes by presenting the 作者: Endometrium 時(shí)間: 2025-3-23 08:52
,Co-creative Orchestration of?, with?Layer Scores and?Orchestration Plans,hrough instrumentation presets, and finally through selection of the final orchestral plan and through the actual orchestration. We detail the research aspects of this co-creative project and analyze the roles of the actors involved in the creation of the final piece: the Music Information Retrieval作者: Bereavement 時(shí)間: 2025-3-23 12:02
,Evolving User Interfaces: A Neuroevolution Approach for?Natural Human-Machine Interaction,and respond to user needs effectively..The successful application of neuroevolution methods underscores their utility in creating natural, intuitive, and personalized interfaces. The study illustrates the potential of such approaches to revolutionize human-computer interaction by allowing organic an作者: Commission 時(shí)間: 2025-3-23 14:12 作者: Cuisine 時(shí)間: 2025-3-23 21:03 作者: aviator 時(shí)間: 2025-3-23 23:29
Pflanzen sind besondere Lebewesenrogressions with the training dataset, which reveals common progressions and the extent to which a sequence is duplicated. We analyze progressions generated by the models comparing HITS@k metrics and human evaluation of 10 participants, rating the plausibility of the progressions as potential music 作者: BLANK 時(shí)間: 2025-3-24 03:23 作者: senile-dementia 時(shí)間: 2025-3-24 08:34
,Berufsfelder für P?dagogische Psychologen,ds to create false positives which may conceal the true potential of our modified approach. Regardless of that, our modification still shows significantly faster convergence speed and slightly improved pitch and instrument detection errors over the baseline algorithm on both single onset and full pi作者: 小畫像 時(shí)間: 2025-3-24 12:37
,Berufsfelder für Wirtschaftspsychologen, model is flexible enough to identify and respond to individual aesthetic preferences, handling the subjectivity at the root of aesthetic preference and providing a good base for further extension to strengthen the ability of the system to model individual aesthetic preference.作者: fibroblast 時(shí)間: 2025-3-24 18:08 作者: 溫順 時(shí)間: 2025-3-24 20:06
Sabine Weinberger,Helga Lindnerions and the variance of steps between songs, respectively. Our algorithm successfully creates smooth and evenly-spaced playlists that transition cohesively in both mood and genre. We explore how the choice of audio feature data, similarity metric, and KNN parameters all have an effect on playlists’作者: doxazosin 時(shí)間: 2025-3-24 23:34
Walter Kr?mer,Katharina Schüllerrator that aims to improve the quality of the images through local search based on an aesthetic measure. We evaluate the effectiveness of this approach by comparing the results produced by the automatic and collaborative interactive evolution. The results show that the proposed approach can generate作者: Bravado 時(shí)間: 2025-3-25 06:28
Walter Kr?mer,Katharina Schüllerombination of Compositional Pattern Producing Network (CPPN) + Digital Signal Processing (DSP) graphs coupled with Multi-dimensional Archive of Phenotypic Elites (MAP-Elites) and a deep learning classifier can generate a substantial variety of synthetic sounds. The study concludes by presenting the 作者: Projection 時(shí)間: 2025-3-25 08:29 作者: 干旱 時(shí)間: 2025-3-25 15:43
https://doi.org/10.1007/978-3-322-80046-6and respond to user needs effectively..The successful application of neuroevolution methods underscores their utility in creating natural, intuitive, and personalized interfaces. The study illustrates the potential of such approaches to revolutionize human-computer interaction by allowing organic an作者: 支架 時(shí)間: 2025-3-25 17:16
Faszination Wolfsburg 1938-2012t their feelings and thoughts. An experiment, involving 14 participants, demonstrated comparable content and audio quality as traditional methods. Participants perceived the system as more personalized, expressing a preference for tailored meditation practices and indicating potential for increased 作者: shrill 時(shí)間: 2025-3-25 21:36
Artificial Intelligence in Music, Sound, Art and Design13th International C作者: 字形刻痕 時(shí)間: 2025-3-26 03:04
The Forest: Towards Emergent Collaborative Art Through Human Swarming, The pillars are designed to invoke reaction from participants through function and visual aesthetic, and act as a mediator for human-human collaboration–whether direct or indirect–towards an evolving piece of art to be experienced as a whole. In this paper, we show two variations of the Forest each作者: Landlocked 時(shí)間: 2025-3-26 05:02
Evoboard: Geoboard-Inspired Evolved Typefonts, and requires many iterations until the final solution is achieved. Although a human expert is required to validate the final results, this task can be aided by automatic design software. We propose Evoboard, an automatic algorithm that evolves a typefont using a geoboard-inspired representation whe作者: 使習(xí)慣于 時(shí)間: 2025-3-26 09:48
,Motifs, Phrases, and?Beyond: The?Modelling of?Structure in?Symbolic Music Generation,view dissects the evolution of techniques for incorporating coherent structure, from symbolic approaches to foundational and transformative deep learning methods that harness the power of computation and data across a wide variety of training paradigms. In the later stages, we review an emerging tec作者: 導(dǎo)師 時(shí)間: 2025-3-26 13:53 作者: Offset 時(shí)間: 2025-3-26 20:22 作者: 過去分詞 時(shí)間: 2025-3-26 22:48 作者: bonnet 時(shí)間: 2025-3-27 04:29
,MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with?Multi-granular Features,cing controllability can enrich these models, with emotional expression being a crucial aspect for both creators and listeners. Hence, building upon LooperGP, a loopable tablature generation model, this paper explores endowing systems with control over conveyed emotions. To enable such conditional g作者: Left-Atrium 時(shí)間: 2025-3-27 09:08
,Weighted Initialisation of?Evolutionary Instrument and?Pitch Detection in?Polyphonic Music,s which are sparse in the field of music information retrieval, presenting a need for unsupervised alternative methods that do not require such prerequisites. We present a modification to an evolutionary algorithm for polyphonic music approximation through synthesis that uses spectral information to作者: glucagon 時(shí)間: 2025-3-27 10:29 作者: eulogize 時(shí)間: 2025-3-27 16:21
,Adaptation and?Optimization of?AugmentedNet for?Roman Numeral Analysis Applied to?Audio Signals, Roman numeral labels. The original network was trained on a combination of computer encodings of digital scores and human harmonic analyses thereof. Learning from these pairs, the system predicts new harmonic analyses for unseen examples. However, for much music, no score symbolic is available. For作者: 成份 時(shí)間: 2025-3-27 21:17
,Generating Smooth Mood-Dynamic Playlists with?Audio Features and?KNN,lly which are constant in genre or mood. We propose a method to automatically create playlists dynamic in both the Arousal-Valence emotion space and the audio features of songs. Our playlist algorithm uses a two-stage approach to sequentially choose songs, employing a .-Nearest Neighbors (KNN) model作者: cognizant 時(shí)間: 2025-3-28 00:45
,Pruning Worlds into?Stories: Affective Interactions as?Fitness Function,of events that will make a story that moves the intended audience. One possible criterion is to consider events that involve significant changes in the emotional relations between the characters involved. The present paper explores a computational model of this particular approach to the task of sto作者: rectum 時(shí)間: 2025-3-28 04:53 作者: Militia 時(shí)間: 2025-3-28 08:27
,Towards Sound Innovation Engines Using Pattern-Producing Networks and?Audio Graphs,g evolutionary processes to promote diversity and foster serendipitous discoveries, we propose to automate the search through uncharted sonic spaces for sound discovery. We argue that such diversity promoting algorithms can bridge a technological gap between the theoretical realisation and practical作者: Reverie 時(shí)間: 2025-3-28 13:45
,Co-creative Orchestration of?, with?Layer Scores and?Orchestration Plans,stral texture. In this research/creation project, our team was commissioned to create an AI/human orchestration of two movements of ., a piano composition by Gissel Velarde. The project turned out as a perfect case study for computational creativity in music and orchestration, where the role of the 作者: Hemiplegia 時(shí)間: 2025-3-28 16:42
,Evolving User Interfaces: A Neuroevolution Approach for?Natural Human-Machine Interaction,pite recent advances, most computing systems still lack interfaces that can perceive complex visual and auditory stimuli..In this study, we propose a neuroevolution approach, employing artificial neural networks optimized by evolutionary algorithms to evolve and accurately translate user inputs into作者: 燕麥 時(shí)間: 2025-3-28 21:42 作者: 動脈 時(shí)間: 2025-3-28 23:09 作者: PON 時(shí)間: 2025-3-29 04:34 作者: CRP743 時(shí)間: 2025-3-29 08:43 作者: 服從 時(shí)間: 2025-3-29 14:17 作者: 侵害 時(shí)間: 2025-3-29 19:11 作者: Incorruptible 時(shí)間: 2025-3-29 21:26
Echte Diversit?t als Gesch?ftsgrundlageemergent outputs through simulation. Finally, we present anecdotal observations of the outcomes from outreach events, where interaction feedback empowers individuals in their creative exploration to produce consensus art.作者: Expiration 時(shí)間: 2025-3-30 00:21
Pflanzen sind besondere Lebewesenpolygon as the target character. Thanks to this simple pipeline, both the OCR model and the representation can be easily modified by the user to their needs. We evolve a set of 36 alphanumeric characters that are both highly legible and aesthetically appealing, two important aspects of type design.作者: 惡心 時(shí)間: 2025-3-30 04:40
Pflanzen sind besondere Lebewesenapabilities to causal models. We find that generation using masked language modeling is more challenging, but leveraging additional information from a dataset, e.g., imputing musical structure, can generate sequences that are on par with previous models.作者: 織布機(jī) 時(shí)間: 2025-3-30 12:14 作者: paradigm 時(shí)間: 2025-3-30 13:10
https://doi.org/10.1007/978-3-322-80046-6it to end-users. . posters were evolved as a proof of concept. The results suggest that implementing the tested niching technique in evolutionary systems can be a viable approach to present users with a wider range of ideas, at least for poster design.作者: 溝通 時(shí)間: 2025-3-30 18:53
The Forest: Towards Emergent Collaborative Art Through Human Swarming,emergent outputs through simulation. Finally, we present anecdotal observations of the outcomes from outreach events, where interaction feedback empowers individuals in their creative exploration to produce consensus art.作者: Mets552 時(shí)間: 2025-3-31 00:09
Evoboard: Geoboard-Inspired Evolved Typefonts,polygon as the target character. Thanks to this simple pipeline, both the OCR model and the representation can be easily modified by the user to their needs. We evolve a set of 36 alphanumeric characters that are both highly legible and aesthetically appealing, two important aspects of type design.作者: 支柱 時(shí)間: 2025-3-31 01:15
,Investigating the?Viability of?Masked Language Modeling for?Symbolic Music Generation in?abc-notatiapabilities to causal models. We find that generation using masked language modeling is more challenging, but leveraging additional information from a dataset, e.g., imputing musical structure, can generate sequences that are on par with previous models.作者: 感染 時(shí)間: 2025-3-31 06:04
,MoodLoopGP: Generating Emotion-Conditioned Loop Tablature Music with?Multi-granular Features,ression. Through algorithmic and human evaluations, we demonstrate the approach’s effectiveness in producing music conveying two contrasting target emotions, happiness and sadness. An ablation study is also conducted to clarify the contributing factors behind our approach’s results.作者: 舔食 時(shí)間: 2025-3-31 12:48 作者: OTTER 時(shí)間: 2025-3-31 14:41 作者: 平庸的人或物 時(shí)間: 2025-3-31 20:07
Warum leben Novemberkinder l?nger?rytelling. An evolutionary solution is used to explore the logs of an agent-based social simulation, using metrics on the evolution of affinity between characters as fitness function, to identify sequences of events that might be good candidates for moving stories.作者: Keshan-disease 時(shí)間: 2025-3-31 21:41
Ulfert Herlyn,Wulf Tessin,Gitta Schellery on surface aesthetics, reinforcing cultural norms, popular conventional representations and imagery. We also find that many users focus on popular topics (such as making colouring books, fantasy art, or Christmas cards), suggesting that the dominant use for the systems analysed is recreational rather than artistic.作者: 粗魯?shù)娜?nbsp; 時(shí)間: 2025-4-1 05:50
,No Longer Trending on?Artstation: Prompt Analysis of?Generative AI Art,y on surface aesthetics, reinforcing cultural norms, popular conventional representations and imagery. We also find that many users focus on popular topics (such as making colouring books, fantasy art, or Christmas cards), suggesting that the dominant use for the systems analysed is recreational rather than artistic.
