(AIMG 2023) IEEE Big Data 2023 1st Workshop on AI for Music Generation

[Duoduo Liao]

IEEE Big Data - AIMG 2023: IEEE Big Data 2023 1st Workshop on AI for Music Generation (Hybrid)
https://www.intellisky.org/workshops/workshop_AIMG2023.html

Introduction
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Music can touch the hearts of any audience without them possessing any knowledge of its context. The power of music is transcendental, and it stems from the timbre of the instrument(s), the fundamental rhythmic structure and melody, the dynamics, instrumentation, and many more, all of which cooperate in some form of harmony to create the final product. With the recent rise of Artificial Intelligence-Generated Contents (AIGC), AI for music is a promising field full of creativity, novel methodologies, and technologies that are yet to be explored. Currently, AI for music methods have been commonly concentrated on utilizing machine learning and deep learning techniques to generate new music. Despite the significant milestones that have been achieved thus far, many are not necessarily robust for a wide range of applications.

AI music itself is a timely topic. This workshop aims to generate momentum around this topic of growing interest, and to encourage interdisciplinary interaction and collaboration between AI,  machine learning,  music,  Natural Language Processing (NLP),  audio processing, multimedia, Human-Computer Interaction (HCI), computational linguistics, and neuroscience. It serves as a forum to bring together active researchers and practitioners from academia and industry to share their recent advances in this promising area.

Topics
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This is an open call for papers, which includes original contributions considering recent findings in theory, applications, and methodologies in the field of AI music generation. The list of topics includes, but not limited to:
• Machine learning/AI for music
• Natural language processing for music generation
• Algorithmic music generation
• Music generation based on a specific aspect: Lyrical, chordal, motivic, melodic, and rhythmic
• AI-generated lyrics
• AI-generated instrumental audio (including vocal)
• Computational musicology
• AI music interpretation
• AI music data representation
• Music evaluation metrics
• Multiple-Channel AI music generation
• AI musical fusion (notes, audio, etc.)
• AI generation for musical performance and expression
• AI music enhancement (e.g. AI-generated instrumentation)
• AI musical ethics
• AI music generation datasets
• Human-Centered Interaction (HCI) for AI music generation
• AI music for neuroscientific applications
• AI-Aided music theory applications

Important Dates
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Oct 16, 2023: Submission of full (7-10 pages) and short (5-6 pages) papers
Oct 23, 2023: Submission of poster abstracts (3-4 pages)
Oct 27, 2023: Submission of AI musical compositions (1- or 2-page abstract, 1 music sheet, and 1 mp3 audio)
Nov 13, 2023: Notification of paper or music acceptance
Nov 19, 2023: Camera-ready of accepted papers
Nov 24, 2023: Presentation video record uploading
Dec 15-18, 2023: IEEE Big Data 2023 Workshop (online & onsite in Italy)

Submission
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Please follow the web link to submit to IEEE Big Data 2023 paper submission site. Accepted papers will be published in the IEEE Big Data 2023 proceedings.