CfP: AI for Music Generation Workshop (AIMG 2024) at IEEE Big Data 2024
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Callie Liao
Jul 29, 2024, 3:22:53 AM7/29/24
to Computational Creativity Forum
IEEE Big Data 2024 Workshop on AI for Music Generation (Hybrid)
https://www.intellisky.org/workshops/AIMG2024/workshop_AIMG2024.html
Introduction
------------
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, music, Natural Language Processing (NLP), machine learning, multimedia, Human-Computer Interaction (HCI), audio processing, 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
------
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
---------------
Please visit the workshop website:
https://www.intellisky.org/workshops/AIMG2024/workshop_AIMG2024.html
*Note that the main conference of IEEE Big Data 2024 will be in person but the workshop will be hosted both virtually and onsite.
Submission
----------
Please follow the web link to submit to IEEE Big Data paper submission site. Accepted papers will be published in the IEEE Big Data proceedings.
https://www.intellisky.org/workshops/AIMG2024/workshop_AIMG2024.html
Introduction
------------
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, music, Natural Language Processing (NLP), machine learning, multimedia, Human-Computer Interaction (HCI), audio processing, 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
------
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
---------------
Please visit the workshop website:
https://www.intellisky.org/workshops/AIMG2024/workshop_AIMG2024.html
*Note that the main conference of IEEE Big Data 2024 will be in person but the workshop will be hosted both virtually and onsite.
Submission
----------
Please follow the web link to submit to IEEE Big Data paper submission site. Accepted papers will be published in the IEEE Big Data proceedings.
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