Music Intelligence : Second Summit, SOMI 2023, Beijing, China, October 28–30, 2023, Revised Selected Papers / / edited by Xiaobing Li, Xiaohong Guan, Yun Tie, Xinran Zhang, Qingwen Zhou
| Music Intelligence : Second Summit, SOMI 2023, Beijing, China, October 28–30, 2023, Revised Selected Papers / / edited by Xiaobing Li, Xiaohong Guan, Yun Tie, Xinran Zhang, Qingwen Zhou |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (155 pages) |
| Disciplina | 780.28563 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Artificial Intelligence |
| ISBN | 981-9705-76-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Music, Neural Science and Music Therapy -- Musical Training Induced Changes in Intra- and Inter-network Functional Connectivity -- Research on the Improvement of Children's Attention through Binaural Beats Music Therapy in the Context of AI Music Generation -- Generated Therapeutic Music Based on the ISO Principle -- Multimodality in Music -- Utilizing Quantum Particle Swarm Optimization for Multimodal Fusion of Gestures and Facial Expressions in Ensemble Conducting for Emotional Recognition -- Guqin Jianzi Notation Transcription Based on Language Model -- Music Generation -- Towards the Implementation of an Automatic Composition System for Popular Songs -- CoCoFormer: A Controllable Feature-rich Polyphonic Music Generation Method -- C2-MAGIC: Chord-Controllable Multi-track Accompaniment Generation with Interpretability and Creativity -- HRPE: Hierarchical Relative Positional Encoding for Transformer-based Structured Symbolic Music Generation -- Chinese Chorales Dataset: A High-Quality Music Dataset for Score Generation. |
| Record Nr. | UNINA-9910831014003321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Lo trovi qui: Univ. Federico II | ||
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Sequential Decision-Making in Musical Intelligence / / by Elad Liebman
| Sequential Decision-Making in Musical Intelligence / / by Elad Liebman |
| Autore | Liebman Elad |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XXV, 206 p. 68 illus., 57 illus. in color.) |
| Disciplina |
781.028563
780.28563 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Acoustical engineering Music Artificial intelligence Computational Intelligence Engineering Acoustics Artificial Intelligence |
| ISBN | 3-030-30519-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Background -- Playlist Recommendation -- Algorithms for Tracking Changes In Preference Distributions -- Modeling the Impact of Music on Human Decision-Making -- Impact of Music on Person-Agent Interaction -- Multiagent Collaboration Learning: A Music Generation Test Case -- Related Work and a Taxonomy of Musical Intelligence Tasks -- Conclusion and Future Work. |
| Record Nr. | UNINA-9910483903703321 |
Liebman Elad
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Lo trovi qui: Univ. Federico II | ||
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