Proceedings of the
19th International Society for Music Information Retrieval Conference

September 23-27, 2018
Paris, France

Edited by: Emilia Gómez, Xiao Hu, Eric Humphrey, Emmanouil Benetos

Detailed Program

Session A: Musical objects
A Confidence Measure For Key Labelling
Roman B. Gebhardt, Michael Stein, Athanasios Lykartsis
Improved Chord Recognition by Combining Duration and Harmonic Language Models
Filip Korzeniowski, Gerhard Widmer
Using Musical Relationships Between Chord Labels in Automatic Chord Extraction Tasks
Tristan Carsault, Jerome Nika, Philippe Esling
A Predictive Model for Music based on Learned Interval Representations
Stefan Lattner, Maarten Grachten, Gerhard Widmer
An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic Excerpts
Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza
Evaluating Automatic Polyphonic Music Transcription
Andrew McLeod, Mark Steedman
Onsets and Frames: Dual-Objective Piano Transcription
Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse Engel, Sageev Oore, Douglas Eck
Player Vs Transcriber: A Game Approach To Data Manipulation For Automatic Drum Transcription
Carl Southall, Ryan Stables, Jason Hockman
A Flexible Approach to Automated Harmonic Analysis: Multiple Annotations of Chorales by Bach and Prætorius
Nathaniel Condit-Schultz, Yaolong Ju, Ichiro Fujinaga
Evaluating a Collection of Sound-Tracing Data of Melodic Phrases
Tejaswinee Kelkar, Udit Roy, Alexander Refsum Jensenius
Main Melody Estimation with Source-Filter NMF and CRNN
Dogac Basaran, Slim Essid, Geoffroy Peeters
Functional Harmony Recognition of Symbolic Music Data with Multi-task Recurrent Neural Networks
Tsung-Ping Chen, Li Su
A Single-step Approach to Musical Tempo Estimation using a Convolutional Neural Network
Hendrik Schreiber, Meinard Müller
Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking
Magdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello
Meter Detection and Alignment of MIDI Performance
Andrew McLeod, Mark Steedman
A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings
Dasaem Jeong, Taegyun Kwon, Juhan Nam
Timbre Discrimination for Brief Instrument Sounds
Francesco Bigoni, Sofia Dahl
Frame-level Instrument Recognition by Timbre and Pitch
Yun-Ning Hung, Yi-Hsuan Yang 
Session B: Generation, visual
Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model
Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
A Generalized Parsing Framework for Generative Models of Harmonic Syntax
Daniel Harasim, Martin Rohrmeier, Timothy J. O'Donnell
An Energy-based Generative Sequence Model for Testing Sensory Theories of Western Harmony
Peter M. C. Harrison, Marcus T. Pearce
Automatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning
Shun-Yao Shih, Heng-Yu Chi
Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre Spaces
Philippe Esling, Axel Chemla--Romeu-Santos, Adrien Bitton
Conditioning Deep Generative Raw Audio Models for Structured Automatic Music
Rachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis
Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation
Hao-Wen Dong, Yi-Hsuan Yang
Cover Song Synthesis by Analogy
Christopher Tralie
Part-invariant Model for Music Generation and Harmonization
Yujia Yan, Ethan Lustig, Joseph VanderStel, Zhiyao Duan
Evaluating Language Models of Tonal Harmony
David Sears, Filip Korzeniowski, Gerhard Widmer
Skeleton Plays Piano: Online Generation of Pianist Body Movements from MIDI Performance
Bochen Li, Akira Maezawa, Zhiyao Duan
Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets
Jan Hajič jr., Matthias Dorfer, Gerhard Widmer, Pavel Pecina
Searching Page-Images of Early Music Scanned with OMR: A Scalable Solution Using Minimal Absent Words
Tim Crawford, Golnaz Badkobeh, David Lewis
Optical Music Recognition in Mensural Notation with Region-based Convolutional Neural Networks
Alexander Pacha, Jorge Calvo-Zaragoza
Camera-PrIMuS: Neural End-to-End Optical Music Recognition on Realistic Monophonic Scores
Jorge Calvo-Zaragoza, David Rizo
Document Analysis of Music Score Images with Selectional Auto-Encoders
Francisco Castellanos, Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga
Genre-Agnostic Key Classification With Convolutional Neural Networks
Filip Korzeniowski, Gerhard Widmer
Deep Watershed Detector for Music Object Recognition
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann 
Session C: Source separation, symbolic, emotion
Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music Representations
Reinier de Valk, Tillman Weyde
Music Source Separation Using Stacked Hourglass Networks
Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak
The Northwestern University Source Separation Library
Ethan Manilow, Prem Seetharaman, Bryan Pardo
Improving Bass Saliency Estimation using Transfer Learning and Label Propagation
Jakob Abeßer, Stefan Balke, Meinard Müller
Improving Peak-picking Using Multiple Time-step Loss Functions
Carl Southall, Ryan Stables, Jason Hockman
Zero-Mean Convolutions for Level-Invariant Singing Voice Detection
Jan Schlüter, Bernhard Lehner
Music Generation and Transformation with Moment Matching-Scattering Inverse Networks
Mathieu Andreux, Stéphane Mallat
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation
Daniel Stoller, Sebastian Ewert, Simon Dixon
SE and SNL diagrams: Flexible data structures for MIR
Melissa R. McGuirl, Katherine M. Kinnaird, Claire Savard, Erin H. Bugbee
JSYMBOLIC 2.2: Extracting Features from Symbolic Music for use in Musicological and MIR Research
Cory McKay, Julie Cumming, Ichiro Fujinaga
Relevance of Musical Features for Cadence Detection
Louis Bigo, Laurent Feisthauer, Mathieu Giraud, Florence Levé
On the Relationships between Music-induced Emotion and Physiological Signals
Xiao Hu, Fanjie Li, Jeremy T. D. Ng
Music Mood Detection Based on Audio and Lyrics with Deep Neural Net
Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam
Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions
Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Simone Hantke, Giovanni Costantini, Klaus Scherer, Bjoern Schuller
Musical Texture and Expressivity Features for Music Emotion Recognition
Renato Panda, Ricardo Malheiro, Rui Pedro Paiva
Shared Generative Representation of Auditory Concepts and EEG to Reconstruct Perceived and Imagined Music
André Ofner, Sebastian Stober
Exploring Musical Relations Using Association Rule Networks
Renan de Padua, Verônica Oliveira de Carvalho, Solange Rezende, Diego Furtado Silva 
Session D: Corpora and voice
A Crowdsourced Experiment for Tempo Estimation of Electronic Dance Music
Hendrik Schreiber, Meinard Müller
Computational Corpus Analysis: A Case Study on Jazz Solos
Christof Weiss, Stefan Balke, Jakob Abeßer, Meinard Müller
Controlled Vocabularies for Music Metadata
Pasquale Lisena, Konstantin Todorov, Cécile Cecconi, Françoise Leresche, Isabelle Canno, Frédéric Puyrenier, Martine Voisin, Thierry Le Meur, Raphaël Troncy
DALI: A Large Dataset of Synchronized Audio, Lyrics and notes, Automatically Created using Teacher-student Machine Learning Paradigm.
Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters
OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition
Eric Humphrey, Simon Durand, Brian McFee
From Labeled to Unlabeled Data – On the Data Challenge in Automatic Drum Transcription
Chih-Wei Wu, Alexander Lerch
GuitarSet: A Dataset for Guitar Transcription
Qingyang Xi, Rachel Bittner, Johan Pauwels, Xuzhou Ye, Juan Pablo Bello
Musical-Linguistic Annotations of Il Lauro Secco
Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Bjoern Schuller
VocalSet: A Singing Voice Dataset
Julia Wilkins, Prem Seetharaman, Alison Wahl, Bryan Pardo
The NES Music Database: A multi-instrumental dataset with expressive performance attributes
Chris Donahue, Huanru Henry Mao, Julian McAuley
Audio-Aligned Jazz Harmony Dataset for Automatic Chord Transcription and Corpus-based Research
Vsevolod Eremenko, Emir Demirel, Baris Bozkurt, Xavier Serra
Methodologies for Creating Symbolic Corpora of Western Music Before 1600
Julie Cumming, Cory McKay, Jonathan Stuchbery, Ichiro Fujinaga
Precision of Sung Notes in Carnatic Music
Venkata Viraraghavan, Rangarajan Aravind, Hema Murthy
Revisiting Singing Voice Detection: A quantitative review and the future outlook
Kyungyun Lee, Keunwoo Choi, Juhan Nam
Vocals in Music Matter: the Relevance of Vocals in the Minds of Listeners
Andrew Demetriou, Andreas Jansson, Aparna Kumar, Rachel Bittner
Vocal Melody Extraction with Semantic Segmentation and Audio-symbolic Domain Transfer Learning
Wei Tsung Lu, Li Su
Empirically Weighting the Importance of Decision Factors for Singing Preference
Michael Barone, Karim Ibrahim, Chitralekha Gupta, Ye Wang 
Session E: Timbre, tagging, similarity, patterns and alignment
Analysis by Classification: A Comparative Study of Annotated and Algorithmically Extracted Patterns in Symbolic Music Data
Iris Yuping Ren, Anja Volk, Wouter Swierstra, Remco Veltkamp
Generalized Skipgrams for Pattern Discovery in Polyphonic Streams
Christoph Finkensiep, Markus Neuwirth, Martin Rohrmeier
Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures
Igor Vatolkin, Günter Rudolph
Instrudive: A Music Visualization System Based on Automatically Recognized Instrumentation
Takumi Takahashi, Satoru Fukayama, Masataka Goto
Instrument Activity Detection in Polyphonic Music using Deep Neural Networks
Siddharth Gururani, Cameron Summers, Alexander Lerch
Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning
Juan S. Gómez, Jakob Abeßer, Estefanía Cano
Aligned Sub-Hierarchies: A Structure-based Approach to the Cover Song Task
Katherine M. Kinnaird
Audio-to-Score Alignment using Transposition-invariant Features
Andreas Arzt, Stefan Lattner
Semi-supervised Lyrics and Solo-singing Alignment
Chitralekha Gupta, Rong Tong, Haizhou Li, Ye Wang
Concert Stitch: Organization and Synchronization of Crowd Sourced Recordings
Vinod Subramanian, Alexander Lerch
A Data-driven Approach to Mid-level Perceptual Musical Feature Modeling
Anna Aljanaki, Mohammad Soleymani
Disambiguating Music Artists at Scale with Audio Metric Learning
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam
Driftin' Down the Scale: Dynamic Time Warping in the Presence of Pitch Drift and Transpositions
Simon Waloschek, Aristotelis Hadjakos
End-to-end Learning for Music Audio Tagging at Scale
Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra
Audio Based Disambiguation of Music Genre Tags
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
Learning Domain-Adaptive Latent Representations of Music Signals Using Variational Autoencoders
Yin-Jyun Luo, Li Su
Learning Interval Representations from Polyphonic Music Sequences
Stefan Lattner, Maarten Grachten, Gerhard Widmer 
Session F: Machine and human learning of music
Influences on the Social Practices Surrounding Commercial Music Services: A Model for Rich Interactions
Louis Spinelli, Josephine Lau, Liz Pritchard, Jin Ha Lee
Investigating Cross-Country Relationship between Users' Social Ties and Music Mainstreaminess
Christine Bauer, Markus Schedl
Listener Anonymizer: Camouflaging Play Logs to Preserve User's Demographic Anonymity
Kosetsu Tsukuda, Satoru Fukayama, Masataka Goto
On the Impact of Music on Decision Making in Cooperative Tasks
Elad Liebman, Corey N. White, Peter Stone
VenueRank: Identifying Venues that Contribute to Artist Popularity
Emmanouil Krasanakis, Emmanouil Schinas, Symeon Papadopoulos, Yiannis Kompatsiaris, Pericles Mitkas
The Many Faces of Users: Modeling Musical Preference
Eva Zangerle, Martin Pichl
Representation Learning of Music Using Artist Labels
Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam
StructureNet: Inducing Structure in Generated Melodies
Gabriele Medeot, Srikanth Cherla, Katerina Kosta, Matt McVicar, Samer Abdallah, Marco Selvi, Ed Newton-Rex, Kevin Webster
Summarizing and Comparing Music Data and Its Application on Cover Song Identification
Diego Furtado Silva, Felipe Falcão, Nazareno Andrade
Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model
Wei Tsung Lu, Li Su
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer
Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer
Understanding a Deep Machine Listening Model Through Feature Inversion
Saumitra Mishra, Bob L. Sturm, Simon Dixon
Comparing RNN Parameters for Melodic Similarity
Tian Cheng, Satoru Fukayama, Masataka Goto
Visualization of Audio Data Using Stacked Graphs
Mathieu Lagrange, Mathias Rossignol, Grégoire Lafay
Two Web Applications for Exploring Melodic Patterns in Jazz Solos
Klaus Frieler, Frank Höger, Martin Pfleiderer, Simon Dixon
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game
Matthias Dorfer, Florian Henkel, Gerhard Widmer
Matrix Co-Factorization for Cold-Start Recommendation
Olivier Gouvert, Thomas Oberlin, Cédric Févotte