Call for Papers: AI for Music Generation Workshop at IEEE Big Data 2025

Date:

Overview

The AI for Music Generation Workshop (AIMG 2025) is set to take place as part of the IEEE Big Data 2025 conference, providing a unique platform for researchers and practitioners to explore the intersection of artificial intelligence and music. This workshop aims to foster collaboration across various disciplines, including machine learning, natural language processing, and human-computer interaction, while also featuring an AI music composition competition to encourage creativity.

Background & Relevance

The integration of AI in music generation is a rapidly evolving field that leverages advanced machine learning techniques to create new musical compositions. As AI-generated content becomes more prevalent, exploring its potential in music offers exciting opportunities for innovation. This workshop serves as a vital forum for discussing recent advancements and methodologies, highlighting the importance of interdisciplinary collaboration in enhancing AI’s role in music.

Key Details

  • Event: AI for Music Generation Workshop (AIMG 2025)
  • Location: Online (part of IEEE Big Data 2025)
  • Submission Deadlines:
  • Oct 6, 2025: Full (8-10 pages) and short (5-7 pages) papers
  • Oct 13, 2025: Poster abstracts (3-4 pages)
  • Oct 13, 2025: AI musical compositions (1- or 2-page abstract, 1 music sheet, and 1 mp3 audio)
  • Website: AIMG 2025 Workshop

Eligibility & Participation

The workshop invites contributions from a diverse audience, including researchers, musicians, lyricists, and hobbyists. Participants are encouraged to submit original research, compositions, and a variety of musical genres, whether they are entirely AI-generated or enhanced by human input.

Submission or Application Guidelines

To participate, authors should submit their work via the IEEE Big Data paper submission site. Accepted papers will be included in the IEEE Big Data proceedings, ensuring visibility within the academic community. Detailed submission instructions can be found on the workshop website.

Additional Context / Real-World Relevance

The exploration of AI in music generation not only advances technological capabilities but also enriches cultural expressions. This workshop aligns with broader trends in AI applications across creative domains, emphasizing the need for ethical considerations and human-centered design in AI music technologies. By bridging the gap between AI and music, the workshop aims to inspire new methodologies and applications that resonate with both artists and technologists.

Conclusion

The AI for Music Generation Workshop at IEEE Big Data 2025 presents a significant opportunity for those interested in the convergence of AI and music. Researchers and practitioners are encouraged to submit their work and engage in this vibrant community, fostering innovation and collaboration in this exciting field.


Category: CFP & Deadlines
Tags: ai, music generation, machine learning, natural language processing, computational musicology, hci, audio processing, neuroscience

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