Archives: 6th November 2026

AIM at ISMIR 2026

ismir2026 AIM at ISMIR 2026Several AIM researchers will be present at the 27th International Society for Music Information Retrieval Conference (ISMIR 2026), held 8-12 November 2026 at NYU Abu Dhabi, UAE. The conference theme this year is Crossroads, reflecting the region’s position at the intersection of East and West and foregrounding human-centric dimensions of music AI such as social impact, ethics, health and education. The event is hybrid, with both in-person and online participation.

AIM members are involved across the scientific programme, tutorials, and conference organisation.

In the Scientific Programme, the following papers are authored/co-authored by AIM members:

AIM PhD students Yinghao Ma and Weixiong Chen are co-presenting tutorial T4: Evaluating Music Foundation Models: From MIREX To Multimodal, Preference-Aware Benchmarking (with Junyan Jiang and Yizhi Li). The tutorial covers evaluation methodologies for music foundation models, from classical MIREX-style benchmarks through to multimodal and preference-aware approaches.

On the organisational side, AIM member Christos Plachouras is serving as New to ISMIR Co-Chair for ISMIR 2026.

We look forward to seeing the music information retrieval community in Abu Dhabi and online!


Call for Papers: TISMIR Special Collection on Language-Centric Music Information Retrieval

We are pleased to announce a Call for Papers for a new Special Collection in the Transactions of the International Society for Music Information Retrieval (TISMIR) titled: “Language-Centric Music Information Retrieval”.

This special collection focuses on Music Information Retrieval (MIR) research informed by language-centered modeling. We invite contributions that explore how concepts and methods from Natural Language Processing (NLP) and large-scale language models can support the analysis, representation, retrieval, and generation of music.

Topics of interest include (but are not limited to):
– Tokenization and representations for symbolic music and audio
– NLP for music-related text (lyrics, metadata, reviews, etc.)
– Language-informed tagging, classification, and semantic understanding
– Retrieval and recommendation, including query-by-description and conversational search
– Music generation and co-creation, including text-conditioned generation and iterative editing workflows
– Language-guided audio and music production, such as mixing, mastering, and sound design
– Knowledge resources for MIR, including ontologies, knowledge graphs, and entity linking
– Evaluation and human factors, including quality assessment, human feedback, creativity, bias, and cultural representation
– Trust, ethics, and transparency, including synthetic content detection and copyright-related considerations
– Long-context modeling of musical structure and form
– Multimodal methods involving text, symbolic music, and audio (as relevant to the collection’s focus)
 
Guest Editors:
– Anna Kruspe (Lead Editor), Munich University of Applied Sciences
– SeungHeon Doh, KAIST
– Elena Epure, Idiap Research Institute
– Yinghao Ma, Queen Mary University of London
– Arthur Flexer, Johannes Kepler Universität Linz
– Li Su, Institute of Information Science
– Ruibin Yuan, Hong Kong University of Science and Technology
Submission Guidelines:
– Submission Link: https://transactions.ismir.net
– Note: Please specify in your cover letter that the submission is for the Special Collection “Language-Centric Music Information Retrieval”.
– Word Limit: Maximum 8,000 words.
– Pre-notification: If you plan to submit, please let us know via email at anna.kruspe@hm.edu to assist our planning.

For detailed formatting guidelines and information regarding extensions of previously published workshop research, please refer to the TISMIR website. We look forward to receiving your innovative contributions!

Best regards,
On behalf of the Guest Editors

AIM at ICASSP 2026

icassp2026-300x163 AIM at ICASSP 2026On 4-8 May 2026, several AIM researchers will participate at the 2026 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2026). ICASSP is the leading conference in the field of signal processing and the flagship event of the IEEE Signal Processing Society.

As in previous years, AIM will have a strong presence at the conference, both in terms of numbers and overall impact. The papers below, authored or co-authored by AIM members, will be presented at the main ICASSP 2026 track:

See you in Barcelona!