ICNMC2021
International Conference on New Music Concepts 2021
Important Dates
About ICNMC2021
ICNMC aims to bring together researchers, scientists, engineers, and scholar students to exchange and share their experiences, new ideas, and research results about all aspects of Music Studies, and discuss the practical challenges encountered and the solutions adopted.
Topics
Room acoustics, Robotics and human-computer interaction track 3: bioinformatics, Automatic music composition, Computational acoustics, Ethnomusicology, Film and music, Mathematical models in acoustics, Psychoacoustics, Musical human-computer interaction, Sensor and ad-hoc networks; h) organizational models and information systems and technologies; ; i) human-computer interaction; j) computers & security, Acoustics and noise control advanced metal forming, Vision & pattern recognition computer vision image processing pattern recognition machine learning medical image processing human-computer interaction remote sensing & geoscience biomedical systems, Acoustics & vibration, Acoustics and vibrations, Music history music perception, Human-computer interaction (haptics, Artificial intelligence in music, Digital libraries and archives, Music information retrievalCall for Papers
ICNMC 2020 is the premier forum for the presentation of new advances and research results in the fields of theoretical, experimental, and applied Music Studies. The conference will bring together leading researchers, engineers and scientists in the domain of interest from around the world.
Topics Topics of interest for submission include, but are not limited to: • Acoustics • Artificial Intelligence in Music • Automatic classification • Automatic Music Composition • Computational Acoustics • Computational music theory and musicology • Computers in Music Composition • Controllers and interfaces for musical expression • Digital libraries and archives • e-Learning and Music • Ethnomusicology • Film and Music • Human-computer interaction • Indexing and querying • Interactive game music • Machine learning • Machine learning in musical performance • Mathematical Analysis of Musical Instruments • Mathematical Models in Music • Mathematical Models in Acoustics • Metadata • Motion, gesture and music • Multimedia • Music and health • Music Cognition • Music composition • Music Education and Music in Education • Music History • Music information retrieval • Music Perception • Music and Psychology • Music training and education • Music synthesis and transformation • Music summarization • Music Theory • Music transcription and annotation • Musical emotion • Musical human-computer interaction • Noise Control Engineering • Optical music recognition • Pattern Recognition in Music • Psychoacoustics • Representations of music • Robotic music • Segmentation and form • Signal Processing • Similarity metrics • Sonic interaction design • Sound source separation • Symbolic music processing • Synchronization and score following • Other relevant topics and applicationsFollowers
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