Saturday, November 4Time
9 am – 5pm

SessionWorkshop on Reading Music Systems(WoRMS)

Venue
Building 16B
via Bonardi
9, 20133
MilanoRoom:
16.B.01

2 pm –
6:45 pm

Sound Demixing Workshop

Building 2
piazzaLeonardo daVinci 32
20133 Milano
Room: 2.1.1

Sunday, November 5
Address: Building 13 via Bonardi 9, 20133 MilanoTime
8am – 9 am
9am –11 am

SessionRegistration
Morning Tutorials
Analysing Physiological Data Collected
During Music Listening: An Introduction
Laura Bishop, University of Oslo
Geoffray Bonnin, Université de Lorraine
Jérémy Frey, Ullo

11 am –
11:30 am

Venue
Registration
hall, ground
floor
T1.1, T1.2,
T1.3, (firstfloor)
T1.1

Introduction to Differentiable Audio
Synthesizer Programming
Ben Hayes, Jordie Shier, Chin-Yun Yu, David
Südholt, Rodrigo Diaz, Centre for Digital Music,
Queen Mary University of London
r.diazfernandez@qmul.ac.uk

T1.2

Transformer-based Symbolic Music
Generation: Fundamentals to Advanced
Concepts, Stylistic Considerations,
Conditioning Mechanisms and Large
Language Models
Berker Banar, Pedro Sarmento, Queen Mary
University of London
Sara Adkins, INFINITE ALBUM

T1.3

Break

Main Hall,
Ground Floor

11:30am –1pm
1 pm – 2:30
pm
2:30 pm – 5
pm

Morning Tutorials Part 2 (Reprise)
RepriseLunch
Afternoon Tutorials
Computer-Assisted Music-Making Systems:
Taxonomy, Review, and Coding

T1.1, T1.2,
T.13, (firstfloor)
Main Hall,
Ground Floor
T1.1, T1.2,
T.13, (firstfloor)
T1.1

Christodoulos Benetatos, Zhiyao Duan,
University of Rochester
Philippe Pasquier, Simon Fraser University

5 pm – 5:30
pm
5:30 pm –6:30 pm

Learning with Music Signals: Technology
Meets Education
Meinard Müller, International Audio
Laboratories Erlangen, Erlangen, Germany

T1.2

Kymatio: Deep Learning meets Wavelet
Theory for Music Signal Processing
Cyrus Vahidi Christopher Mitcheltree, Centre
for Digital Music, Queen Mary University of
London, United Kingdom
Vincent Lostanlen, LS2N, CNRS, Nantes
Université, France

T1.3

Break
Afternoon Tutorials Part 2 (Reprise)

Main Hall,
Ground Floor
T1.1, T1.2,
T.13, (firstfloor)

Address: Building 1 Piazza Leonardo da Vinci 32,
Milano8 pm – 10 pm

Welcome Reception Concert

Rector buildinghallMonday, November 6
Address: Building 13 Via Bonardi 9, 20133 Milano
Time

Session

8 am – 9 am

Registration

9 am – 9:30 am

Opening

9:30 am – 10:30
amKeynoteHelp! - Bridging the Gap Between Music Technology andDiverse Stakeholder Needs
Christine Bauer

Venue
Registration
hall, groundfloor
Lecture room,
second floor
Lecture room,
second floor

Paper Session 1
Chair: Cynthia Liem
10:30 am – 11:40
am
11:40 am - 12 pm

Oral
Break

12 pm - 1:15 pm

Poster
Exploring the correspondence of melodic contour with gesturein raga alap singing
Shreyas M Nadkarni (Indian Institute of Technology Bombay);
Sujoy Roychowdhury (Indian Institute of Technology Bombay);
Preeti Rao (Indian Institute of Technology Bombay)*; Martin
Clayton (Durham University)
TriAD: Capturing harmonics with 3D Convolutions
Miguel Perez Fernandez (Universitat Pompeu Fabra; Huawei)*;Holger Kirchhoff (Huawei); Xavier Serra (Universitat Pompeu
Fabra )
Data Collection in Music Generation Training Sets: A Critical
Analysis
Fabio Morreale (University of Auckland)*; Megha Sharma(University of Tokyo); I-Chieh Wei (University of Auckland)
A Review of Validity and its Relationship to Music
Information Research
Bob L. T. Sturm (KTH Royal Institute of Technology); Arthur
Flexer (Johannes Kepler University Linz)*

Lecture room,
second floor
Main hall,ground floor
Poster hall,
first floor
Poster Board#1

Poster Board#2
Poster Board#3
Poster Board#4

Segmentation and Analysis of Taniavartanam in Carnatic
Music Concerts
Gowriprasad R (IIT Madras)*; Srikrishnan Sridharan (Carnatic
Percussionist); R Aravind (Indian Institute of Technology
Madras); Hema A Murthy (IIT Madras)
Transfer Learning and Bias Correction with Pre-trained
Audio Embeddings
Changhong Wang (Telecom Paris, Institut polytechnique deParis)*; Gaël Richard (Telecom Paris, Institut polytechniquede Paris); Brian McFee (New York University)
Collaborative Song Dataset (CoSoD): An annotated dataset of
multi-artist collaborations in popular music
Michèle Duguay (Harvard University)*; Kate Mancey (Harvard
University); Johanna Devaney (Brooklyn College)
Human-AI Music Creation: Understanding the Perceptions
and Experiences of Music Creators for Ethical and Productive
Collaboration
Michele Newman (University of Washington)*; Lidia J Morris(University of Washington); Jin Ha Lee (University ofWashington)
Impact of time and note duration tokenizations on deeplearning symbolic music modeling
Nathan Fradet (LIP6 - Sorbonne University)*; Nicolas Gutowski(University of Angers); Fabien Chhel (Groupe ESEO); Jean-Pierre
Briot (CNRS)Musical Micro-Timing for Live Coding
Max Johnson (University of Cambridge); Mark R H Gotham(Durham)*
A Few-shot Neural Approach for Layout Analysis of Music
Score Images
Francisco J. Castellanos (University of Alicante)*; Antonio Javier
Gallego (Universidad de Alicante); Ichiro Fujinaga (McGill
University)
TapTamDrum: A Dataset for Dualized Drum Patterns
Behzad Haki (Universitat Pompeu Fabra)*; Błażej Kotowski(MTG); Cheuk Lun Isaac Lee (Universitat Pompeu Fabra ); Sergi
Jordà (Universitat Pompeu Fabra)
Real-time Percussive Technique Recognition and Embedding
Learning for the Acoustic Guitar
Andrea Martelloni (Queen Mary University of London)*; Andrew
McPherson (QMUL); Mathieu Barthet (Queen Mary University of
London)IteraTTA: An interface for exploring both text prompts andaudio priors in generating music with text-to-audio models
Hiromu Yakura (University of Tsukuba)*; Masataka Goto

Poster Board#5

Poster Board#6

Poster Board#7
Poster Board#8

Poster Board#9

Poster Board#10
Poster Board#11

Poster Board#12
Poster Board#13

Poster Board#14

(National Institute of Advanced Industrial Science and Technology(AIST))
Similarity evaluation of violin directivity patterns for musicalinstrument retrieval
Mirco Pezzoli (Politecnico di Milano)*; Raffaele Malvermi(Politecnico di Milano); Fabio Antonacci (Politecnico di Milano);
Augusto Sarti (Politecnico di Milano)
Polyrhythmic modelling of non-isochronous and microtiming
patterns
George Sioros (University of Plymouth)*
1:15 - 2:30 pm

Lunch

Poster Board#15

Poster Board#16
Main hall,ground floor

Paper Session 2
Chair: Keunwoo Choi
2:30 pm – 3:40 pm

Oral

3:40 pm – 5 pm

Poster5 pm – 5:30 pm

Break
CLaMP: Contrastive Language-Music Pre-training for
Cross-Modal Symbolic Music Information Retrieval
Shangda Wu (Central Conservatory of Music); Dingyao Yu(Peking University); Xu Tan (Microsoft Research Asia);
Maosong Sun (Tsinghua University)*
Gender-coded sound: Analysing the gendering of music
in toy commercials via multi-task learning
Luca Marinelli (Queen Mary University of London)*;George Fazekas (QMUL); Charalampos Saitis (Queen Mary
University of London)
A dataset and Baselines for Measuring and Predicting
the Music Piece Memorability
Li-Yang Tseng (National Yang Ming Chiao Tung
University); Tzu-Ling Lin (National Yang Ming Chiao Tung
University); Hong-Han Shuai (National Yang Ming Chiao

Lecture room,
second floor
Poster hall, firstfloor
Main hall, groundfloor
Poster Board #1

Poster Board #2

Poster Board #3

Tung University)*; JEN-WEI HUANG (NYCU); Wen-Whei
Chang (National Yang Ming Chiao Tung University)
Efficient Notation Assembly in Optical Music
Recognition
Carlos Penarrubia (University of Alicante); Carlos GarridoMunoz (University of Alicante); Jose J. Valero-Mas(Universitat Pompeu Fabra); Jorge Calvo-Zaragoza(University of Alicante)*
White Box Search over Audio Synthesizer Parameters
Yuting Yang (Princeton University)*; Zeyu Jin (Adobe
Research); Adam Finkelstein (Princeton University);
Connelly Barnes (Adobe Research)
Decoding drums, instrumentals, vocals, and mixed
sources in music using human brain activity with fMRI
Vincent K.M. Cheung (Sony Computer Science
Laboratories, Inc.)*; Lana Okuma (RIKEN); Kazuhisa
Shibata (RIKEN); Kosetsu Tsukuda (National Institute ofAdvanced Industrial Science and Technology (AIST));
Masataka Goto (National Institute of Advanced Industrial
Science and Technology (AIST)); Shinichi Furuya (SonyComputer Science Laboratories Inc.)
Dual Attention-based Multi-scale Feature Fusion
Approach for Dynamic Music Emotion Recognition
Liyue Zhang ( Xi’an Jiaotong University)*; Xinyu Yang
(Xi’an Jiaotong University); Yichi Zhang (Xi’an Jiaotong
University); Jing Luo (Xi’an Jiaotong University)
Automatic Piano Transcription with HierarchicalFrequency-Time Transformer
Keisuke Toyama (Sony Group Corporation)*; Taketo
Akama (Sony CSL); Yukara Ikemiya (Sony Research);
Yuhta Takida (Sony Group Corporation); WeiHsiang Liao(Sony Group Corporation); Yuki Mitsufuji (Sony Group
Corporation)
High-Resolution Violin Transcription using Weak Labels
Nazif Can Tamer (Universitat Pompeu Fabra)*; YigitcanÖzer (International Audio Laboratories Erlangen); Meinard
Müller (International Audio Laboratories Erlangen); Xavier
Serra (Universitat Pompeu Fabra )Polyffusion: A Diffusion Model for Polyphonic Score
Generation with Internal and External Controls
Lejun Min (Shanghai Jiao Tong University)*; Junyan Jiang(New York University Shanghai); Gus Xia (New York
University Shanghai); Jingwei Zhao (National University ofSingapore)
The Coordinated Corpus of Popular Musics(CoCoPops): A Meta-Dataset of Melodic and Harmonic

Poster Board #4

Poster Board #5

Poster Board #6

Poster Board #7

Poster Board #8

Poster Board #9

Poster Board #10

Poster Board #11

Transcriptions
Claire Arthur (Georgia Institute of Technology)*; NathanielCondit-Schultz (Georgia Institute of Technology)
Towards computational music analysis for music therapy
Anja Volk (Utrecht University)*; Tinka Veldhuis (Utrecht
University); Katrien Foubert (LUCA School of Arts); Jos De
Backer (LUCA School of Arts)
Timbre Transfer using Image-to-Image Denoising
Diffusion Implicit Models
Luca Comanducci (Politecnico di Milano)*; Fabio
Antonacci (Politecnico di Milano); Augusto Sarti(Politecnico di Milano)
Correlation of EEG responses reflects structuralsimilarity of choruses in popular music
Neha Rajagopalan (Stanford University)*; Blair Kaneshiro(Stanford University)
Chromatic Chords in Theory and PracticeMark R H Gotham (Durham)*
5:30 pm - 6:30 pm

Inclusion Session

6:30 pm - 7:30 pm

Inclusion Meetup

Poster Board #12

Poster Board #13

Poster Board #14

Poster Board #15
Lecture room,
second floor
Main hall, groundfloor

Tuesday, November 7
Address: Building 13 Via Bonardi 9, 20133 Milano
Time

Session

8 am – 9 am

Registration

9 am – 10am

Keynote

Venue
Registration hall,ground floor
Lecture room,
second floor

Seeing the light through music, a blind man’s journey of
discovery through audio and how to navigate making
music that speaks to the world in the age of the Screen
Driven universe.
Joey Stuckey

Paper Session 3
Chair: Ashley Burgoyne
10 am – 11:10 am

Oral

11:10 am – 11:30
am
11:30 am - 1 pm

Break
PosterLecture room,
second floor
Main hall, groundfloor
Poster hall, first
floor
Poster Board #1

BPS-Motif: A Dataset for Repeated Pattern Discovery of
Polyphonic Symbolic Music
YO-WEI HSIAO (Academia Sinica); TZU-YUN Hung
(National Taiwan Normal University); Tsung-Ping Chen
(Academia Sinica); Li Su (Academia Sinica)
Weakly Supervised Multi-Pitch Estimation Using Cross- Poster Board #2
Version Alignment
Michael Krause (International Audio Laboratories
Erlangen)*; Sebastian Strahl (International Audio
Laboratories Erlangen); Meinard Müller (International Audio
Laboratories Erlangen)
The Batik-plays-Mozart Corpus: Linking Performance to Poster Board #3
Score to Musicological Annotations
Patricia Hu (Johannes Kepler University)*; Gerhard Widmer(Johannes Kepler University)
Mono-to-stereo through parametric stereo generation
Poster Board #4
Joan Serra (Dolby Laboratories)*; Davide Scaini (Dolby
Laboratories); Santiago Pascual (Dolby Laboratories);
Daniel Arteaga (Dolby Laboratories); Jordi Pons (Dolby

Laboratories); Jeroen Breebaart (Dolby Laboratories); Giulio
Cengarle (Dolby Laboratories)
From West to East: Who can understand the music of theothers better?
Charilaos Papaioannou (School of ECE, National Technical
University of Athens)*; Emmanouil Benetos (Queen Mary
University of London); Alexandros Potamianos (National
Technical University of Athens)
On the Performance of Optical Music Recognition in the
Absence of Specific Training Data
Juan Carlos Martinez-Sevilla (University of Alicante)*;Adrián Roselló (Universidad de Alicante); David Rizo
(Universidad de Alicante); Jorge Calvo-Zaragoza (Universityof Alicante)
Composer’s Assistant: An Interactive Transformer for
Multi-Track MIDI Infilling
Martin E Malandro (Sam Houston State University)*
The FAV Corpus: An audio dataset of favorite pieces andexcerpts, with formal analyses and music theory
descriptors
Ethan Lustig (Ethan Lustig)*; David Temperley (Eastman
School of Music)
LyricWhiz: Robust Multilingual Lyrics Transcription by
Whispering to ChatGPTLe Zhuo (Beihang University); Ruibin Yuan (CMU)*; Jiahao
Pan (HKBU); Yinghao MA (Queen Mary University of
London); Yizhi Li (The University of Sheffield); Ge Zhang(University of Michigan); Si Liu (Beihang University);
Roger B. Dannenberg (School of Computer Science,
Carnegie Mellon University); Jie Fu (BAAI); Chenghua Lin(University of Sheffield); Emmanouil Benetos (Queen Mary
University of London); Wenhu Chen (University ofWaterloo); Wei Xue (HKUST); Yike Guo (Hong Kong
University of Science and Technology)
Sounds out of place? Score independent detection ofconspicouous mistake regions in MIDI piano
performances
Alia Morsi (Universitat Pompeu Fabra)*; Kana Tatsumi(Nagoya Institute of Technology); Akira Maezawa (Yamaha
Corporation); Takuya Fujishima (Yamaha Corporation);
Xavier Serra (Universitat Pompeu Fabra )VampNet: Music Generation via Masked Acoustic Token
Modeling
Hugo F Flores Garcia (Northwestern University)*; Prem
Seetharaman (Northwestern University); Rithesh Kumar(Descript); Bryan Pardo (Northwestern University)

Poster Board #5

Poster Board #6

Poster Board #7
Poster Board #8

Poster Board #9

Poster Board#10

Poster Board#11

Expert and Novice Evaluations of Piano Performances:
Criteria for Computer-Aided Feedback
Yucong Jiang (University of Richmond)*
Contrastive Learning for Cross-modal Artist Retrieval
Andres Ferraro (Pandora/SiriusXM)*; Jaehun Kim (Pandora/ SiriusXM); Andreas Ehmann (Pandora); Sergio Oramas(Pandora/SiriusXM); Fabien Gouyon (Pandora/SiriusXM)
Repetition-Structure Inference with Formal Prototypes
Christoph Finkensiep (EPFL)*; Matthieu Haeberle (EPFL);Friedrich Eisenbrand (EPFL); Markus Neuwirth (Anton
Bruckner Privatuniversität Linz); Martin A Rohrmeier (Ecole
Polytechnique Fédérale de Lausanne)
Algorithmic Harmonization of Tonal Melodies using
Weighted Pitch Context Vectors
Peter Van Kranenburg (Utrecht University; Meertens
Institute)*; Eoin J Kearns (Meertens Instituut)
Text-to-lyrics generation with image-based semantics andreduced risk of plagiarism
Kento Watanabe (National Institute of Advanced Industrial
Science and Technology (AIST))*; Masataka Goto (National
Institute of Advanced Industrial Science and Technology(AIST))
1 - 2:30 pm

Lunch

Poster Board#12
Poster Board#13
Poster Board#14

Poster Board#15
Poster Board#16

Main hall, groundfloor

Paper Session 4
Chair: Sebastian Stober
2:30 pm – 3:30 pm

Oral

Lecture room,
second floor

3:30 pm – 5 pm

Poster5 – 5:30 pm

Break

Poster hall, firstfloor
Main hall, groundfloor
Poster Board #1

LP-MusicCaps: LLM-Based Pseudo Music
Captioning
Seungheon Doh (KAIST)*; Keunwoo Choi (Gaudio Lab,Inc.); Jongpil Lee (Neutune); Juhan Nam (KAIST)A Repetition-based Triplet Mining Approach forMusic Segmentation
Morgan Buisson (Telecom-Paris)*; Brian McFee (NewYork University); Slim Essid (Telecom Paris - Institut
Polytechnique de Paris); Helene-Camille Crayencour(CNRS)
Predicting Music Hierarchies with a Graph-Based
Neural Decoder
Francesco Foscarin (Johannes Kepler University Linz)*;
Daniel Harasim (École Polytechnique Fédérale deLausanne); Gerhard Widmer (Johannes Kepler
University)
Stabilizing Training with Soft Dynamic Time
Warping: A Case Study for Pitch Class Estimation
with Weakly Aligned Targets
Johannes Zeitler (International Audio Laboratories
Erlangen)*; Simon Deniffel (International Audio
Laboratories Erlangen); Michael Krause (International
Audio Laboratories Erlangen); Meinard Müller
(International Audio Laboratories Erlangen)Finding Tori: Self-supervised Learning for Analyzing
Korean Folk Song
Danbinaerin Han (Sogang Univ.); Rafael Caro Repetto(Kunstuniversität Graz); Dasaem Jeong (Sogang
University)*
Singer Identity Representation Learning using SelfSupervised Techniques
Bernardo Torres (Telecom Paris, Institut polytechniquede Paris)*; Stefan Lattner (Sony CSL); Gaël Richard(Telecom Paris, Institut polytechnique de Paris)On the effectiveness of speech self-supervised learning
for music

Poster Board #2

Poster Board #3

Poster Board #4

Poster Board #5

Poster Board #6

Poster Board #7

Yinghao MA (Queen Mary University of London)*;Ruibin Yuan (CMU); Yizhi Li (The University of
Sheffield); Ge Zhang (University of Michigan);Chenghua Lin (University of Sheffield); Xingran Chen
(University of Michigan); Anton Ragni (University of
Sheffield); Hanzhi Yin (Carnegie Mellon University);
Emmanouil Benetos (Queen Mary University of London);Norbert Gyenge (Sheffield University); Ruibo Liu(Dartmouth College); Gus Xia (New York University
Shanghai); Roger B. Dannenberg (School of Computer
Science, Carnegie Mellon University); Yike Guo (HongKong University of Science and Technology); Jie Fu(BAAI)
Transformer-based beat tracking with low-resolution
encoder and high-resolution decoder
Tian Cheng (National Institute of Advanced Industrial
Science and Technology (AIST))*; Masataka Goto
(National Institute of Advanced Industrial Science andTechnology (AIST))
Adding Descriptors to Melodies Improves Pattern
Matching: A Study on Slovenian Folk Songs
Vanessa Nina Borsan (Université de Lille)*; Mathieu
Giraud (CNRS, Université de Lille); Richard Groult(Université de Rouen Normandie); Thierry Lecroq(Université de Rouen Normandie )How Control and Transparency for Users Could
Improve Artist Fairness in Music Recommender
Systems
Karlijn Dinnissen (Utrecht University)*; Christine Bauer(Paris Lodron University Salzburg)
Towards a New Interface for Music Listening: A User
Experience Study on YouTube
Ahyeon Choi (Seoul National University)*; Eunsik Shin(Seoul National University); Haesun Joung (Seoul
National University); Joongseek Lee (Seoul National
University); Kyogu Lee (Seoul National University)
FiloBass: A Dataset and Corpus Based Study of Jazz
Basslines
Xavier Riley (C4DM)*; Simon Dixon (Queen Mary
University of London)
Comparing Texture in Piano Scores
Louis Couturier (MIS, Université de Picardie Jules
Verne)*; Louis Bigo (Université de Lille); Florence Leve
(Université de Picardie Jules Verne - Lab. MIS Algomus)

Poster Board #8

Poster Board #9

Poster Board #10

Poster Board #11

Poster Board #12

Poster Board #13

Introducing DiMCAT for processing and analyzing
notated music on a very large scale
Johannes Hentschel (École Polytechnique Fédérale deLausanne)*; Andrew McLeod (Fraunhofer IDMT);
Yannis Rammos (EPFL); Martin A Rohrmeier (Ecole
Polytechnique Fédérale de Lausanne)
Sequence-to-Sequence Network Training Methods for
Automatic Guitar Transcription with TokenizedOutputs
Sehun Kim (Nagoya University)*; Kazuya Takeda(Nagoya University); Tomoki Toda (Nagoya University)
5:30 – 6:30 pm

Industry Panel

6:30 – 7:30 pm

Music Session
M1 Title: Conversations with our Digital Selves: thedevelopment of an autonomous music improviser
Matthew Yee-King (Goldsmiths, University of London)
Mark d'Inverno (Goldsmiths, University of London)
M2 Title: confluyo yo, el ambiente me sigue
Author: Hugo Flores Garcia (Northwestern
University)
M3 Sliogán: a performance composed for the HITar
Authors: Andrea Martelloni ( Queen Mary University of
London ) Andrew McPherson ( QMUL ), Mathieu
Barthet ( Queen Mary University of London )M4 The Words I Tried to Say
Angela Weihan Ng (University of Glasgow)
M5 Nor Hope
Wenbin Lyu
M6 AI Pianist Performance: Collaboration with
Soprano Sumi Jo
Authors: Taegyun Kwon ( KAIST ), Joonhyung Bae (KAIST ) Jiyun Park ( KAIST ) Jaeran Choi ( KAIST )Hyeyoon Cho ( KAIST ) Yonghyun Kim ( KAIST )Dasaem Jeong ( Sogang University ) Juhan Nam ( KAIST)

Poster Board #14

Poster Board #15

Lecture room,
second floor
Lecture room,
second floor

Wednesday, November
8Address: Building 13 Via Bonardi 9, 20133 Milano
Time

Session

8 am – 9am
9 am –
10am

Registration
Keynote

Venue
Registration hall,ground floor
Lecture room,
second floor

Building & Launching MIR systems at industry scale
Rachel Bittner

Paper Session 5
Chair: Fabian-Robert Stöter
10 am –
11:10 am
11:10 am
– 11:30
am
11:30 am 1 pm

Oral
Break
PosterPESTO: Pitch Estimation with Self-supervised
Transposition-equivariant Objective
Alain Riou (Télécom Paris, IP Paris, Sony CSL)*; Stefan
Lattner (Sony CSL); Gaëtan Hadjeres (Sony CSL);
Geoffroy Peeters (LTCI - Télécom Paris, IP Paris)

Lecture room,
second floor
Main hall, groundfloor
Poster hall, first
floor
Poster Board #1

The Games We Play: Exploring The Impact of ISMIR
on Musicology
Vanessa Nina Borsan (Université de Lille)*; Mathieu
Giraud (CNRS, Université de Lille); Richard Groult(Université de Rouen Normandie)
Carnatic Singing Voice Separation Using Cold
Diffusion on Training Data with Bleeding
Genís Plaja-Roglans (Music Technology Group)*;Marius Miron (Universitat Pompeu Fabra); Adithi
Shankar (Universitat Pompeu Fabra); Xavier Serra(Universitat Pompeu Fabra )Unveiling the Impact of Musical Factors in Judging aSong on First Listen: Insights from a User Survey
Kosetsu Tsukuda (National Institute of Advanced
Industrial Science and Technology (AIST))*; Tomoyasu
Nakano (National Institute of Advanced Industrial
Science and Technology (AIST)); Masahiro Hamasaki(National Institute of Advanced Industrial Science andTechnology (AIST)); Masataka Goto (National Instituteof Advanced Industrial Science and Technology (AIST))
Towards Building a Phylogeny of Gregorian Chant
Melodies
Jan Hajič, jr. (Charles University)*; Gustavo Ballen (dos
Reis research group, School of Biological and
Behavioural Sciences, Queen Mary University of
London); Klára Mühlová (Institute of Musicology,
Faculty of Arts, Masaryk University); Hana VlhováWörner (Masaryk Institute and Archives, Czech
Academy of Sciences)
Audio Embeddings as Teachers for MusicClassification
Yiwei Ding (Georgia Institute of Technology)*;Alexander Lerch (Georgia Institute of Technology)
ScorePerformer: Expressive Piano Performance
Rendering with Fine-Grained Control
Ilya Borovik (Skolkovo Institute of Science andTechnology)*; Vladimir Viro (Peachnote)
Roman Numeral Analysis with Graph Neural
Networks: Onset-wise Predictions from Note-wise
Features
Emmanouil Karystinaios (Johannes Kepler University)*;
Gerhard Widmer (Johannes Kepler University)
Semi-Automated Music Catalog Curation Using
Audio and Metadata
Brian Regan (Spotify)*; Desislava Hristova (Spotify);
Mariano Beguerisse-Díaz (Spotify)

Poster Board #2

Poster Board #3

Poster Board #4

Poster Board #5

Poster Board #6

Poster Board #7

Poster Board #8

Poster Board #9

1 - 2:30
pm

Crowd’s Performance on Temporal Activity Detectionof Musical Instruments in Polyphonic Music
Ioannis Petros Samiotis (Delft University ofTechnology)*; Alessandro Bozzon (Delft University ofTechnology); Christoph Lofi (TU Delft)
MoisesDB: A Dataset For Source Separation Beyond
4 Stems
Igor G. Pereira (Moises.AI)*; Felipe Araujo (Moises.AI);
Filip Korzeniowski (Moises.AI); Richard Vogl
(moises.ai)
Music as flow: a formal representation of hierarchicalprocesses in music
Zeng Ren (EPFL)*; Wulfram Gerstner (EPFL); Martin A
Rohrmeier (Ecole Polytechnique Fédérale de Lausanne)
Online Symbolic Music Alignment with Offline
Reinforcement Learning
Silvan Peter (JKU)*
InverSinthII: Sound matching via self-supervised
synthesizer-proxy and inference-time finetuning
Oren Barkan (Microsoft); Shlomi Shvartzamn (Tel Aviv
University ); Noy Uzrad (Tel Aviv University ); Moshe
Laufer (Tel Aviv University); Almog Elharar (Tel Aviv
University); Noam Koenigstein (Tel Aviv University)*
A Semi-Supervised Deep Learning Approach toDataset Collection for Query-by-Humming Task
Amantur Amatov (Higher School of Economics)*;
Dmitry Lamanov (Huawei Noah’s Ark Lab); Maksim
Titov (Huawei Noah’s Ark Lab); Ivan Vovk (Huawei
Noah’s Ark Lab); Ilya Makarov (AI Center, NUSTMISiS); Mikhail Kudinov (Huawei Noah’s Ark Lab)
Towards Improving Harmonic Sensitivity andPrediction Stability for Singing Melody Extraction
Keren Shao (UCSD)*; Ke Chen (University of California
San Diego); Taylor Berg-Kirkpatrick (UCSD); Shlomo
Dubnov (UC San Diego)

Poster Board #10

Lunch

Main hall, groundfloor

Poster Board #11

Poster Board #12

Poster Board #13
Poster Board #14

Poster Board #15

Poster Board #16

Paper Session 6
Chair: Anna Kruspe
2:30 pm –3:30 pm

Oral

Lectureroom,
second floor

3:30 pm – 5pm
5 – 5:30 pm

PosterPoster hall,
first floor
Main hall,groundfloor
PosterBoard #1

Break
Singing voice synthesis using differentiable LPC and glottalflow inspired wavetables
Chin-Yun Yu (Queen Mary University of London)*; George
Fazekas (QMUL)
Harmonic Analysis with Neural Semi-CRF
Qiaoyu Yang (University of Rochester)*; Frank Cwitkowitz(University of Rochester); Zhiyao Duan (Unversity ofRochester)
A Dataset and Baseline for Automated Assessment of
Timbre Quality in Trumpet Sound
Ninad Puranik (McGill University ); Alberto Acquilino (McGill
University)*; Ichiro Fujinaga (McGill University); Gary
Scavone (McGill University)
Visual Overviews for Sheet Music StructureFrank Heyen (VISUS, University of Stuttgart)*; Quynh Quang
Ngo (VISUS, University of Stuttgart); Michael Sedlmair (Uni
Stuttgart)
Passage Summarization with recurrent models for Audio –Sheet Music Retrieval
Luis Carvalho (Johannes Kepler University)*; Gerhard Widmer(Johannes Kepler University)
Predicting performance difficulty from piano sheet music
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Pedro Ramoneda (Universitat Pompeu Fabra)*; Dasaem Jeong(Sogang University); Jose J. Valero-Mas (Universitat Pompeu
Fabra); Xavier Serra (Universitat Pompeu Fabra )Self-Refining of Pseudo Labels for Music Source Separation
with Noisy Labeled Data
Junghyun Koo (Seoul National University); Yunkee Chae
(Seoul National University)*; Chang-Bin Jeon (Seoul National
University); Kyogu Lee (Seoul National University)
Quantifying the Ease of Playing Song Chords on the Guitar
Marcel A Vélez Vásquez (University of Amsterdam)*; Mariëlle
Baelemans (University of Amsterdam); Jonathan Driedger(Chordify); Willem Zuidema (ILLC, UvA); John Ashley
Burgoyne (University of Amsterdam)
FlexDTW: Dynamic Time Warping With Flexible Boundary
Conditions
Irmak Bukey (Pomona College); Jason Zhang (University ofMichigan); Timothy Tsai (Harvey Mudd College)*
Modeling Bends in Popular Music Guitar Tablatures
Alexandre D’Hooge (Université de Lille)*; Louis Bigo
(Université de Lille); Ken Déguernel (CNRS)
Self-Similarity-Based and Novelty-based loss for music
structure analysis
Geoffroy Peeters (LTCI - Télécom Paris, IP Paris)*
Modeling Harmonic Similarity for Jazz Using Cooccurrence Vectors and the Membrane Area
Carey Bunks (Queen Mary University of London)*; Simon
Dixon (Queen Mary University of London); Tillman Weyde(City, University of London); Bruno Di Giorgi (Apple)
SingStyle111: A Multilingual Singing Dataset With Style
Transfer
Shuqi Dai (Carnegie Mellon University)*; Siqi Chen
(University of South California); Yuxuan Wu (Carnegie Mellon
University); Roy Huang (Carnegie Mellon University); Roger
B. Dannenberg (School of Computer Science, Carnegie Mellon
University)
A Computational Evaluation Framework for Singable Lyric
Translation
Haven Kim ( KAIST ), Kento Watanabe ( National Institute ofAdvanced Industrial Science and Technology (AIST) ),Masataka Goto ( National Institute of Advanced Industrial
Science and Technology (AIST) ), Juhan Nam ( KAIST ) <juhan.nam@kaist.ac.kr>
Chorus-Playlist: Exploring the Impact of Listening to Only
Choruses in a Playlist
Kosetsu Tsukuda (National Institute of Advanced Industrial
Science and Technology (AIST))*; Masahiro Hamasaki

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(National Institute of Advanced Industrial Science andTechnology (AIST)); Masataka Goto (National Institute ofAdvanced Industrial Science and Technology (AIST))
5:30 pm –6:30 pm

Panel Session

6:30 pm 7 pm

Industry Presentations

LectureRoom,
SecondFloor
LectureRoom,
SecondFloor

Address: Museo della Scienza e della Tecnica, (usethe entrance located in via Olona 6 bis, 20123
Milano)Time

Session8 pm –
9:30 pm
9 pm– 11pm

Banquet/ Jazz Concert
Jam Session

Venue
Sala Polene
Sala Biancamano
Sala Polene
Sala Biancamano

Thursday, November 9
Address: Building 13 Via Bonardi 9, 20133 MilanoTime
8 am – 9am

Session

Venue
Registration

Registration
hall, groundfloor

Paper Session 7
Chair: Alexander Lerch
9 am –
10:10 amOral

10:10 am –11:10 amPosterLectureroom,
secondfloor
Poster hall,
first floor11:10 am –11:30 amBreak
Supporting musicological investigations withinformation retrieval tools: an iterative approach todata collection David Lewis (University of Oxford
eResearch Centre)*; Elisabete Shibata (Beethoven-Haus
Bonn); Andrew Hankinson (RISM Digital); Johannes Kepper(Paderborn University); Kevin R Page (University of
Oxford); Lisa Rosendahl (Paderborn University); Mark
Saccomano (Paderborn University); Christine Siegert(Beethoven-Haus Bonn)
Optimizing Feature Extraction for Symbolic Music
Federico Simonetta (Instituto Complutense de Ciencias
Musicales)*; Ana Llorens (Universidad Complutense de
Madrid); Martı́n Serrano (Instituto Complutense de Ciencias
Musicales); Eduardo Garcı́a-Portugué s (Universidad Carlos
III de Madrid); AR lvaro Torrente (Instituto Complutense deCiencias Musicale - Universidad Complutense de Madrid)
Exploring Sampling Techniques for Generating
Melodies with a Transformer Language Model
Mathias Rose Bjare (Johannes Kepler University Linz)*;
Stefan Lattner (Sony CSL); Gerhard Widmer (Johannes
Kepler University)
Measuring the Eurovision Song Contest: A Living
Dataset for Real-World MIR
John Ashley Burgoyne (University of Amsterdam)*; Janne
Spijkervet (University of Amsterdam); David J Baker(University of Amsterdam)
Efficient Supervised Training of Audio Transformers forMusic Representation Learning
Pablo Alonso-Jimé nez (Universitat Pompeu Fabra)*; Xavier
Serra (Universitat Pompeu Fabra ); Dmitry Bogdanov(Universitat Pompeu Fabra)
A Cross-Version Approach to Audio Representation
Learning for Orchestral Music
Michael Krause (International Audio Laboratories
Erlangen)*; Christof Weiß (University of Wü rzburg);
Meinard Mü ller (International Audio Laboratories
Erlangen)Music source separation with MLP mixing of time,
frequency, and channel
Tomoyasu Nakano (National Institute of Advanced
Industrial Science and Technology (AIST))*; Masataka
Goto (National Institute of Advanced Industrial Scienceand Technology (AIST))
Symbolic Music Representations for Classification
Tasks: A Systematic Evaluation

Main hall,groundfloor
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11:30 am 1:30 pm

Huan Zhang (Queen Mary University of London)*;
Emmanouil Karystinaios (Johannes Kepler University);
Simon Dixon (Queen Mary University of London);Gerhard Widmer (Johannes Kepler University); Carlos
Eduardo Cancino-Chacón (Johannes Kepler University
Linz)
The Music Meta Ontology: a flexible semantic modelfor the interoperability of music metadata
Valentina Carriero (University of Bologna); Jacopo deBerardinis (King’s College London); Albert MeroñoPeñuela (King’s College London); Andrea Poltronieri(University of Bologna)*; Valentina Presutti (Universityof Bologna)
Polar Manhattan Displacement: measuring tonal
distances between chords based on intervallic content
Jeffrey K Miller (Queen Mary University of London)*;
Johan Pauwels (Queen Mary University of London); MarkB Sandler (Queen Mary University of London)
Society MeetingAwardsClosing

1:30 pm - 3
pm

Lunch

3 - 4 pm

Late breaking demo part 1

4 - 5 pm

Late breaking demo part 2

5-5:30 pm

Break

5:30 - 7 pm

Unconference event

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Lectureroom,
secondfloor
Main hall,groundfloor
Poster hall,
first floor
Poster hall,
first floor
Main hall,groundfloor
Main hall,groundfloorFriday, November 10
Address: Building 1, piazza Leonardo da Vinci 32
20133 Milano
Time

SessionVenue

9 am - 1
pm

Workshop on Human-Centric Music
Information Research (HCMIR23)

historic
PoliMiauditorium.

Address: Via Conservatorio 12, 20122 MilanoTime
9 am – 5pm

SessionInternational Conference on Digital Libraries
for Musicology (DLfM)

Venue
Biblioteca delConservatorio
di Milano(Library oftheConservatoryof Milan)

Address: Exact timing and meeting point
communicated during ISMIR
Time

SessionVisit to the Violin Museum (Cremona)

Venue