Artificial intelligence (AI) technology has promoted the transformation of traditional audio technology to intelligence. Using these emerging technologies to innovate and develop audio production and processing methods has become a key research direction in the field of computational audition. In recent years, AI technologies, such as deep learning, is becoming increasingly ubiquitous in the music industry, empowering music experimentation and has led to major progress in the innovation and development of audio production and reproduction technologies.
Nowadays, the application of AI algorithms and techniques is ubiquitous and transversal. Fields that take advantage of AI advances include Sound and Music Processing. The advances in interdisciplinary research potentially yield new insights that may further advance the AI methods in this field. This special issue aims to spur new research lines in AI-driven sound and music processing, especially within interdisciplinary research scenarios.
This special issue aims to collect research on AI for computational audition with a focus on music. The principal goal is to bring together scholars interested in the research on the theory and technology to realize the integration of traditional method and emerging technologies, the application and comparative analysis of different intelligent technologies in music creation.
The topics of interest for the special issue include, but are not limited to:
- Tutorial and review on computational audition
- Machine learning in music signal processing
- Music-related affective computing
- Music-led multisensory integration
- Music-led multimodal data processing
- Computational intelligence in sound and music processing
- Analysis of the neuroregulatory effects of music or sound
- Music information retrieval
- Spatial audio processing
- Sound source separation
- Software tools and datasets
Important Dates
Submission deadline: 1 June 2023
Lead Guest Editor
Zijin Li, Central Conservatory of Music, China
Email: lzijin@ccom.edu.cn
Guest Editors
Wenwu Wang, University of Surrey, UK
Kejun Zhang, Zhejiang University, China
Mengyao Zhu, Shanghai University, China
Important
Authors should select "AI for Computational Audition: Sound and Music Processing" when they reach the Thematic Series section in the submission system.
Submission guidelines: https://asmp-eurasipjournals.springeropen.com/submission-guidelines