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Artificial Intelligence in Music, Sound, Art and Design : 12th International Conference, EvoMUSART 2023, Held As Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings / / Colin Johnson, Nereida Rodríguez-Fernández, and Sérgio M. Rebelo, editors
Artificial Intelligence in Music, Sound, Art and Design : 12th International Conference, EvoMUSART 2023, Held As Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings / / Colin Johnson, Nereida Rodríguez-Fernández, and Sérgio M. Rebelo, editors
Edizione [First edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]
Descrizione fisica 1 online resource (438 pages)
Disciplina 006.3
Collana Lecture Notes in Computer Science Series
Soggetto topico Artificial intelligence
Computer graphics
Computer music
Evolutionary programming (Computer science)
ISBN 9783031299568
9783031299551
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Long Talks -- LooperGP: A Loopable Sequence Model for Live Coding Performance using GuitarPro Tablature -- Chordal embeddings based on topology of the tonal space -- Music Generation with Multiple Ant Colonies Interacting on Multilayer Graphs -- Automatically Adding to Artistic Cultures -- Extending Generative Neo-Riemannian Theory for Event-based Soundtrack Production -- Is beauty in the age of the beholder -- Extending the Visual Arts experience: Sonifying Paintings with AI -- Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audio -- AI-rmonies of the Spheres -- SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders -- SketchSynth: cross-modal control of sound synthesis -- Towards the Evolution of Prompts with MetaPrompter -- Is Writing Prompts Really Making Art -- Using GPT-3 to achieve semantically relevant data sonificiation for an art installation -- Using Autoencoders to Generate Skeleton-based Typography -- Visual Representation of the Internet Consumption in the European Union -- GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers -- Artistic Curve Steganography Carried by Musical Audio -- LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation -- Searching For Human Bias Against AI-Composed Music -- Short Talks -- Fabric Sketch Augmentation & Styling via Deep Learning & Image Synthesis -- Transposition of Simple Waveforms from Raw Audio with Deep Learning -- AI-aided Ceramic Sculptures: Bridging Deep Learning with Materiality -- OSC-Qasm: Interfacing Music Software with Quantum Computing -- EvoDesigner: Aiding the exploration of innovative graphic design solutions -- Improving Automatic Music Genre Classification Systems by Using Descriptive Statistical Features of Audio Signals -- Musical Genre Recognition based on Deep Descriptors of Harmony, Instrumentation, and Segments. .
Record Nr. UNISA-996517751103316
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Artificial Intelligence in Music, Sound, Art and Design : 12th International Conference, EvoMUSART 2023, Held As Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings / / Colin Johnson, Nereida Rodríguez-Fernández, and Sérgio M. Rebelo, editors
Artificial Intelligence in Music, Sound, Art and Design : 12th International Conference, EvoMUSART 2023, Held As Part of EvoStar 2023, Brno, Czech Republic, April 12-14, 2023, Proceedings / / Colin Johnson, Nereida Rodríguez-Fernández, and Sérgio M. Rebelo, editors
Edizione [First edition.]
Pubbl/distr/stampa Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]
Descrizione fisica 1 online resource (438 pages)
Disciplina 006.3
Collana Lecture Notes in Computer Science Series
Soggetto topico Artificial intelligence
Computer graphics
Computer music
Evolutionary programming (Computer science)
ISBN 9783031299568
9783031299551
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Long Talks -- LooperGP: A Loopable Sequence Model for Live Coding Performance using GuitarPro Tablature -- Chordal embeddings based on topology of the tonal space -- Music Generation with Multiple Ant Colonies Interacting on Multilayer Graphs -- Automatically Adding to Artistic Cultures -- Extending Generative Neo-Riemannian Theory for Event-based Soundtrack Production -- Is beauty in the age of the beholder -- Extending the Visual Arts experience: Sonifying Paintings with AI -- Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audio -- AI-rmonies of the Spheres -- SUNMASK: Mask Enhanced Control in Step Unrolled Denoising Autoencoders -- SketchSynth: cross-modal control of sound synthesis -- Towards the Evolution of Prompts with MetaPrompter -- Is Writing Prompts Really Making Art -- Using GPT-3 to achieve semantically relevant data sonificiation for an art installation -- Using Autoencoders to Generate Skeleton-based Typography -- Visual Representation of the Internet Consumption in the European Union -- GTR-CTRL: Instrument and Genre Conditioning for Guitar-Focused Music Generation with Transformers -- Artistic Curve Steganography Carried by Musical Audio -- LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation -- Searching For Human Bias Against AI-Composed Music -- Short Talks -- Fabric Sketch Augmentation & Styling via Deep Learning & Image Synthesis -- Transposition of Simple Waveforms from Raw Audio with Deep Learning -- AI-aided Ceramic Sculptures: Bridging Deep Learning with Materiality -- OSC-Qasm: Interfacing Music Software with Quantum Computing -- EvoDesigner: Aiding the exploration of innovative graphic design solutions -- Improving Automatic Music Genre Classification Systems by Using Descriptive Statistical Features of Audio Signals -- Musical Genre Recognition based on Deep Descriptors of Harmony, Instrumentation, and Segments. .
Record Nr. UNINA-9910686789703321
Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui