1st Asia-Pacific Music Intelligence Workshop (AMIW 2026)

Overview

1st Asia-Pacific Music Intelligence Workshop (AMIW 2026) will be held on December 1 in Melbourne as a satellite workshop of ACML 2026. 

For the motivation and aim of this workshop, please see this page. 

This workshop is supported by JSPS Kaken 25H01169 ``Evolutionary Musicology via Constructive Approach.''

Registration & participation

 Since AMIW 2026 is held as part of ACML 2026, participants need to register for ACML 2026. Please complete registration here. 

If you want to participate AMIW 2026 only, you can choose a one-day pass even if you are a presenter. 

Invited speakers

The following distinguished researchers will give invited talks. Don't miss out!

• Prof. Oliver Bown (University of New South Wales, Australia)

• Prof. Dorien Herremans (Singapore University of Technology and Design, Singapore)

Please check here for details.

Accepted papers

• When Does Upstream Uncertainty Matter? Uncertainty Propagation in Hierarchical GTTM Analysis
  Masatoshi Hamanaka, Keiji Hirata, Satoshi Tojo

• A Singing Voice Synthesis Composition Tool for Pansori
  Sangheon Park, Dasaem Jeong

• A Learning Support System for Reharmonizing Jazz Chord Progressions Using Tree Structure
  Ai Nakayama, Kohki Higuchi, Shun Sawada, Ryo Hatano, Kouichi Katsurada, Satoshi Tojo, Hidefumi Ohmura

• Learning Human Preferences for Generated Melodies: A Comparative Study
  Ryotaro To, Eita Nakamura

• Domain Adaptation of Piano Transcription Models Based on Pseudo-Label Correction Using Music Alignment
  Sosuke Nishimura, Akiko Washino, Eita Nakamura

• Chord-tone and Root Estimation from Bass Lines for Jazz
  Tetsuro Kitahara, Li Su

• Why This Note? -- A Proof-Theoretic Interpretation of Melody
  Matteo Bizzarri, Satoshi Tojo

• Soprano Pitch-Class Prediction in Bach Chorales Using Graph Neural Networks
  Reiji Fujita, Tetsuro Kitahara

• A Sonification System for Understanding Walking Motion
  Sorata Kuze, Takayuki Hamano, Tetsuro Kitahara

• Melody-Substitution Contrastive Learning for Symbolic Music Pre-training
  Tzu-Hung Huang, Li Su

• Text-Conditioned Wavetable Generation for Software Synthesizer with Conditional Variational Autoencoder
  Naomichi Kiyose, Ryo Hatano

• Subjective Experiences and Onset Timing Differences in a Violin–Viola Duo: An Exploratory Case Study of Reassurance, Ease of Playing, and Togetherness
  Karen Kurotaki, Yoshinari Takegawa, Masaki Matsubara

• Translating Complexity and Intensity into Bar-Level Conditions for Symbolic Music Generation
  Ayuri Kanno, Aiko Uemura

• How Background Music Shifts Cognitive Frameworks of Everyday Scene Imagery between Personal Experience and Fiction
  Mee Takita, Shun Sawada, Kohki Higuchi, Kouichi Katsurada, Takuro Shibayama, Satoshi Tojo, Hidefumi Ohmura

Important dates

• October 18: Paper submission deadline (23:59 AoE)

• October 30: Acceptance notification

• November 13: Camera-ready deadline

• December 1: Workshop

Call for papers

We welcome both mature research contributions and early-stage works in all fields related to intersections of music and machine learning. Topics include, but are not limited to: 

• Music generation

• Music understanding

• Music information retrieval

• Audio and symbolic music processing

• Multimodal music analysis

• Music recommendation

• Interactive music systems

• Computational creativity

• Music foundation models

• Human-AI co-creation in music

Submissions must not exceed 4 pages (excluding the references). Submissions must be anonymized and formatted using the official ACML 2026 LaTeX template and style files. Each submission will be reviewed by at least two reviewers based on relevance, originality, technical quality, clarity, and potential impact. Accepted papers will be presented as posters and spotlight talks.

Appendices (new): If necessary, a paper may include appendices. The appendices are not included in the page limit. They may be used to provide supplementary content, but the paper must be understandable without them. Please avoid excessively long appendices.

Submissions are handled through: https://openreview.net/group?id=ACML.org/2026/Workshop/AMIW

Note: To create a new profile without an institutional email,  the moderation process can take up to 2 weeks.
(A new profile with an institutional email will be automatically activated.)

Organizers

• Tetsuro Kitahara (a professor at Nihon University, Japan)

• Satoshi Tojo (a professor at Asia University, Japan)

Program committee

• Tetsuro Kitahara (Nihon University, Japan) (chair)

• Satoshi Tojo (Asia University, Japan) (vice-chair)

• Aiko Uemura (Tsuda University, Japan)

• Hidefumi Ohmura (Tokyo University of Science, Japan)

• Yui Uehara (Kanagawa University, Japan)

• Eita Nakamura (Kyushu University, Japan)

• Seungheon Doh (Sony, Japan)

• Yuya Yamamoto (AlphaTheta, Japan)

• Li Su (Academia Sinica, Taiwan)

• Chih-Cheng Chang  (Academia Sinica, Taiwan)

• Jun-You Wang (National Taiwan Normal Univresity, Taiwan)

• Rui Guo (Yango University, China)

Contact 

Please see this page.