{"product_id":"artificial-intelligence-in-music-sound-art-and-design-9783031901669","title":"Artificial Intelligence in Music Sound Art and Design","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\u003cstrong\u003e.- Long Talks.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- Yin-Yang: Developing Motifs With Long-Term Structure And Controllability.\u003c\/p\u003e\u003cp\u003e.- Foundations of LLCM: Labelled Lambek Calculus for Music Analysis.\u003c\/p\u003e\u003cp\u003e.- Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting.\u003c\/p\u003e\u003cp\u003e.- Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using\u003cbr\u003eTonnetz, Cellular Automata, and IoT.\u003c\/p\u003e\u003cp\u003e.- The Importance of Context in Image Generation: A Case Study for\u003cbr\u003eVideo Game Sprites.\u003c\/p\u003e\u003cp\u003e.- Perceptions of AI in Animation Production.\u003c\/p\u003e\u003cp\u003e.- Search-based Negative Prompt Optimisation for Text-to-Image Generation.\u003c\/p\u003e\u003cp\u003e.- Exploring the Application of AIGC in Ink-Wash Animation Creation:\u003cbr\u003eA Case Study of Dragon Gate.\u003c\/p\u003e\u003cp\u003e.- AI in Music and Healthcare: A Comparative Survey.\u003c\/p\u003e\u003cp\u003e.- Combining local search and directed mutation in evolutionary\u003cbr\u003eapproaches to 4-part harmony.\u003c\/p\u003e\u003cp\u003e.- Exploiting the Temporal Order of Sound Features for Onset Detection.\u003c\/p\u003e\u003cp\u003e.- Towards Human-Quality Drum Accompaniment Using Deep Generative\u003cbr\u003eModels and Transformers.\u003c\/p\u003e\u003cp\u003e.- An Ensemble Approach to Music Source Separation: A Comparative\u003cbr\u003eAnalysis of Conventional and Hierarchical Stem Separation.\u003c\/p\u003e\u003cp\u003e.- Balancing Indeterminacy and Structure: Neural Text Generation for\u003cbr\u003eArtistic Inspiration.\u003c\/p\u003e\u003cp\u003e.- Exploring Bridges Between Algorithmic and AI-generated Art.\u003c\/p\u003e\u003cp\u003e.- Future Sight: Fine-tuning Language Models for Dynamic Story Generation.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e.- Short Talks.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e.- All YIN No YANG: Geometric abstraction of oil paintings with trained\u003cbr\u003emodels, noise and self-reference.\u003c\/p\u003e\u003cp\u003e.- Exploring Multi-Objective Evolution for Aesthetic \u0026amp; Abstract 3D Art.\u003c\/p\u003e\u003cp\u003e.- Aesthetic biases and opacity tactics in the training of visual artificial\u003cbr\u003eintelligence models.\u003c\/p\u003e\u003cp\u003e.- Music Similarity Through Geometric Overlap.\u003c\/p\u003e\u003cp\u003e.- Graph Neural Network vs Feature-based Folk Music Evolution Analysis.\u003c\/p\u003e\u003cp\u003e.- Generating Virtual Landscapes and Environmental Narratives with\u003cbr\u003eStyleGAN2.\u003c\/p\u003e\u003cp\u003e.- EmotioNotes Dataset: Decoding emotions in classical music through\u003cbr\u003eConcert Program Notes.\u003c\/p\u003e\u003cp\u003e.- Towards the Automatic Evaluation of Legibility for Graphic Design\u003cbr\u003ePosters.\u003c\/p\u003e\u003cp\u003e.- Short video interestingness: a machine learning approach to determine\u003cbr\u003ecreative cues in audiovisual production.\u003c\/p\u003e\u003cp\u003e.- Automated Selection and Ordering of Clip Sequences for Music Videos\u003cbr\u003ebased on Tonal Tension and Visual Features.\u003c\/p\u003e\u003cp\u003e.- Evolving the Embedding Space of Diffusion Models in the Field of\u003cbr\u003eVisual Arts.\u003c\/p\u003e\u003cp\u003e.- Steering Large Text-to-Image Model for Kandinsky Synthesis through\u003cbr\u003ePreference-based Prompt Optimization.\u003c\/p\u003e","brand":"Springer","offers":[{"title":"Default Title","offer_id":53195473486167,"sku":"9783031901669","price":64.99,"currency_code":"GBP","in_stock":true}],"url":"https:\/\/bookcurl.com\/products\/artificial-intelligence-in-music-sound-art-and-design-9783031901669","provider":"Book Curl","version":"1.0","type":"link"}