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ISMIR 2018

Full Proceedings

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Papers

A Confidence Measure For Key Labelling 3-9
Roman B. Gebhardt, Michael Stein, Athanasios Lykartsis
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Improved Chord Recognition by Combining Duration and Harmonic Language Models 10-17
Filip Korzeniowski, Gerhard Widmer
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Using Musical Relationships Between Chord Labels in Automatic Chord Extraction Tasks 18-25
Tristan Carsault, Jerome Nika, Philippe Esling
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A Predictive Model for Music based on Learned Interval Representations 26-33
Stefan Lattner, Maarten Grachten, Gerhard Widmer
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An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic Excerpts 34-41
Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza
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Evaluating Automatic Polyphonic Music Transcription 42-49
Andrew McLeod, Mark Steedman
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Onsets and Frames: Dual-Objective Piano Transcription 50-57
Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse Engel, Sageev Oore, Douglas Eck
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Player Vs Transcriber: A Game Approach To Data Manipulation For Automatic Drum Transcription 58-65
Carl Southall, Ryan Stables, Jason Hockman
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A Flexible Approach to Automated Harmonic Analysis: Multiple Annotations of Chorales by Bach and Prætorius 66-73
Nathaniel Condit-Schultz, Yaolong Ju, Ichiro Fujinaga
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Evaluating a Collection of Sound-Tracing Data of Melodic Phrases 74-81
Tejaswinee Kelkar, Udit Roy, Alexander Refsum Jensenius
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Main Melody Estimation with Source-Filter NMF and CRNN 82-89
Dogac Basaran, Slim Essid, Geoffroy Peeters
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Functional Harmony Recognition of Symbolic Music Data with Multi-task Recurrent Neural Networks 90-97
Tsung-Ping Chen, Li Su
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A Single-step Approach to Musical Tempo Estimation using a Convolutional Neural Network 98-105
Hendrik Schreiber, Meinard Müller
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Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking 106-112
Magdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello
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Meter Detection and Alignment of MIDI Performance 113-119
Andrew McLeod, Mark Steedman
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A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings 120-127
Dasaem Jeong, Taegyun Kwon, Juhan Nam
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Timbre Discrimination for Brief Instrument Sounds 128-134
Francesco Bigoni, Sofia Dahl
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Frame-level Instrument Recognition by Timbre and Pitch 135-142
Yun-Ning Hung, Yi-Hsuan Yang
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Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model 145-151
Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii
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A Generalized Parsing Framework for Generative Models of Harmonic Syntax 152-159
Daniel Harasim, Martin Rohrmeier, Timothy J. O’Donnell
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An Energy-based Generative Sequence Model for Testing Sensory Theories of Western Harmony 160-167
Peter M. C. Harrison, Marcus T. Pearce
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Automatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning 168-174
Shun-Yao Shih, Heng-Yu Chi
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Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre Spaces 175-181
Philippe Esling, Axel Chemla–Romeu-Santos, Adrien Bitton
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Conditioning Deep Generative Raw Audio Models for Structured Automatic Music 182-189
Rachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis
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Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation 190-196
Hao-Wen Dong, Yi-Hsuan Yang
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Cover Song Synthesis by Analogy 197-203
Christopher Tralie
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Part-invariant Model for Music Generation and Harmonization 204-210
Yujia Yan, Ethan Lustig, Joseph VanderStel, Zhiyao Duan
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Evaluating Language Models of Tonal Harmony 211-217
David Sears, Filip Korzeniowski, Gerhard Widmer
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Skeleton Plays Piano: Online Generation of Pianist Body Movements from MIDI Performance 218-224
Bochen Li, Akira Maezawa, Zhiyao Duan
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Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets 225-232
Jan Hajič jr., Matthias Dorfer, Gerhard Widmer, Pavel Pecina
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Searching Page-Images of Early Music Scanned with OMR: A Scalable Solution Using Minimal Absent Words 233-239
Tim Crawford, Golnaz Badkobeh, David Lewis
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Optical Music Recognition in Mensural Notation with Region-based Convolutional Neural Networks 240-247
Alexander Pacha, Jorge Calvo-Zaragoza
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Camera-PrIMuS: Neural End-to-End Optical Music Recognition on Realistic Monophonic Scores 248-255
Jorge Calvo-Zaragoza, David Rizo
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Document Analysis of Music Score Images with Selectional Auto-Encoders 256-263
Francisco Castellanos, Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga
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Genre-Agnostic Key Classification With Convolutional Neural Networks 264-270
Filip Korzeniowski, Gerhard Widmer
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Deep Watershed Detector for Music Object Recognition 271-278
Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann
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Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music Representations 281-288
Reinier de Valk, Tillman Weyde
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Music Source Separation Using Stacked Hourglass Networks 289-296
Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak
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The Northwestern University Source Separation Library 297-305
Ethan Manilow, Prem Seetharaman, Bryan Pardo
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Improving Bass Saliency Estimation using Transfer Learning and Label Propagation 306-312
Jakob Abeßer, Stefan Balke, Meinard Müller
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Improving Peak-picking Using Multiple Time-step Loss Functions 313-320
Carl Southall, Ryan Stables, Jason Hockman
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Zero-Mean Convolutions for Level-Invariant Singing Voice Detection 321-326
Jan Schlüter, Bernhard Lehner
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Music Generation and Transformation with Moment Matching-Scattering Inverse Networks 327-333
Mathieu Andreux, Stéphane Mallat
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Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation 334-340
Daniel Stoller, Sebastian Ewert, Simon Dixon
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SE and SNL diagrams: Flexible data structures for MIR 341-347
Melissa R. McGuirl, Katherine M. Kinnaird, Claire Savard, Erin H. Bugbee
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JSYMBOLIC 2.2: Extracting Features from Symbolic Music for use in Musicological and MIR Research 348-354
Cory McKay, Julie Cumming, Ichiro Fujinaga
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Relevance of Musical Features for Cadence Detection 355-361
Louis Bigo, Laurent Feisthauer, Mathieu Giraud, Florence Levé
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On the Relationships between Music-induced Emotion and Physiological Signals 362-369
Xiao Hu, Fanjie Li, Jeremy T. D. Ng
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Music Mood Detection Based on Audio and Lyrics with Deep Neural Net 370-375
Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam
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Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions 376-382
Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Simone Hantke, Giovanni Costantini, Klaus Scherer, Bjoern Schuller
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Musical Texture and Expressivity Features for Music Emotion Recognition 383-391
Renato Panda, Ricardo Malheiro, Rui Pedro Paiva
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Shared Generative Representation of Auditory Concepts and EEG to Reconstruct Perceived and Imagined Music 392-399
André Ofner, Sebastian Stober
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Exploring Musical Relations Using Association Rule Networks 400-406
Renan de Padua, Verônica Oliveira de Carvalho, Solange Rezende, Diego Furtado Silva
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A Crowdsourced Experiment for Tempo Estimation of Electronic Dance Music 409-415
Hendrik Schreiber, Meinard Müller
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Computational Corpus Analysis: A Case Study on Jazz Solos 416-423
Christof Weiss, Stefan Balke, Jakob Abeßer, Meinard Müller
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Controlled Vocabularies for Music Metadata 424-430
Pasquale Lisena, Konstantin Todorov, Cécile Cecconi, Françoise Leresche, Isabelle Canno, Frédéric Puyrenier, Martine Voisin, Thierry Le Meur, Raphaël Troncy
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DALI: A Large Dataset of Synchronized Audio, Lyrics and notes, Automatically Created using Teacher-student Machine Learning Paradigm. 431-437
Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters
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OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition 438-444
Eric Humphrey, Simon Durand, Brian McFee
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From Labeled to Unlabeled Data – On the Data Challenge in Automatic Drum Transcription 445-452
Chih-Wei Wu, Alexander Lerch
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GuitarSet: A Dataset for Guitar Transcription 453-460
Qingyang Xi, Rachel Bittner, Johan Pauwels, Xuzhou Ye, Juan Pablo Bello
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Musical-Linguistic Annotations of Il Lauro Secco 461-467
Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Bjoern Schuller
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VocalSet: A Singing Voice Dataset 468-474
Julia Wilkins, Prem Seetharaman, Alison Wahl, Bryan Pardo
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The NES Music Database: A multi-instrumental dataset with expressive performance attributes 475-482
Chris Donahue, Huanru Henry Mao, Julian McAuley
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Audio-Aligned Jazz Harmony Dataset for Automatic Chord Transcription and Corpus-based Research 483-490
Vsevolod Eremenko, Emir Demirel, Baris Bozkurt, Xavier Serra
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Methodologies for Creating Symbolic Corpora of Western Music Before 1600 491-498
Julie Cumming, Cory McKay, Jonathan Stuchbery, Ichiro Fujinaga
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Precision of Sung Notes in Carnatic Music 499-505
Venkata Viraraghavan, Rangarajan Aravind, Hema Murthy
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Revisiting Singing Voice Detection: A quantitative review and the future outlook 506-513
Kyungyun Lee, Keunwoo Choi, Juhan Nam
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Vocals in Music Matter: the Relevance of Vocals in the Minds of Listeners 514-520
Andrew Demetriou, Andreas Jansson, Aparna Kumar, Rachel Bittner
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Vocal Melody Extraction with Semantic Segmentation and Audio-symbolic Domain Transfer Learning 521-528
Wei Tsung Lu, Li Su
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Empirically Weighting the Importance of Decision Factors for Singing Preference 529-536
Michael Barone, Karim Ibrahim, Chitralekha Gupta, Ye Wang
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Analysis by Classification: A Comparative Study of Annotated and Algorithmically Extracted Patterns in Symbolic Music Data 539-546
Iris Yuping Ren, Anja Volk, Wouter Swierstra, Remco Veltkamp
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Generalized Skipgrams for Pattern Discovery in Polyphonic Streams 547-553
Christoph Finkensiep, Markus Neuwirth, Martin Rohrmeier
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Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures 554-560
Igor Vatolkin, Günter Rudolph
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Instrudive: A Music Visualization System Based on Automatically Recognized Instrumentation 561-568
Takumi Takahashi, Satoru Fukayama, Masataka Goto
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Instrument Activity Detection in Polyphonic Music using Deep Neural Networks 569-576
Siddharth Gururani, Cameron Summers, Alexander Lerch
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Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning 577-584
Juan S. Gómez, Jakob Abeßer, Estefanía Cano
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Aligned Sub-Hierarchies: A Structure-based Approach to the Cover Song Task 585-591
Katherine M. Kinnaird
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Audio-to-Score Alignment using Transposition-invariant Features 592-599
Andreas Arzt, Stefan Lattner
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Semi-supervised Lyrics and Solo-singing Alignment 600-607
Chitralekha Gupta, Rong Tong, Haizhou Li, Ye Wang
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Concert Stitch: Organization and Synchronization of Crowd Sourced Recordings 608-614
Vinod Subramanian, Alexander Lerch
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A Data-driven Approach to Mid-level Perceptual Musical Feature Modeling 615-621
Anna Aljanaki, Mohammad Soleymani
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Disambiguating Music Artists at Scale with Audio Metric Learning 622-629
Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam
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Driftin’ Down the Scale: Dynamic Time Warping in the Presence of Pitch Drift and Transpositions 630-636
Simon Waloschek, Aristotelis Hadjakos
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End-to-end Learning for Music Audio Tagging at Scale 637-644
Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra
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Audio Based Disambiguation of Music Genre Tags 645-652
Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam
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Learning Domain-Adaptive Latent Representations of Music Signals Using Variational Autoencoders 653-660
Yin-Jyun Luo, Li Su
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Learning Interval Representations from Polyphonic Music Sequences 661-668
Stefan Lattner, Maarten Grachten, Gerhard Widmer
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Influences on the Social Practices Surrounding Commercial Music Services: A Model for Rich Interactions 671-677
Louis Spinelli, Josephine Lau, Liz Pritchard, Jin Ha Lee
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Investigating Cross-Country Relationship between Users’ Social Ties and Music Mainstreaminess 678-686
Christine Bauer, Markus Schedl
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Listener Anonymizer: Camouflaging Play Logs to Preserve User’s Demographic Anonymity 687-694
Kosetsu Tsukuda, Satoru Fukayama, Masataka Goto
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On the Impact of Music on Decision Making in Cooperative Tasks 695-701
Elad Liebman, Corey N. White, Peter Stone
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VenueRank: Identifying Venues that Contribute to Artist Popularity 702-708
Emmanouil Krasanakis, Emmanouil Schinas, Symeon Papadopoulos, Yiannis Kompatsiaris, Pericles Mitkas
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The Many Faces of Users: Modeling Musical Preference 709-716
Eva Zangerle, Martin Pichl
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Representation Learning of Music Using Artist Labels 717-724
Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam
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StructureNet: Inducing Structure in Generated Melodies 725-731
Gabriele Medeot, Srikanth Cherla, Katerina Kosta, Matt McVicar, Samer Abdallah, Marco Selvi, Ed Newton-Rex, Kevin Webster
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Summarizing and Comparing Music Data and Its Application on Cover Song Identification 732-739
Diego Furtado Silva, Felipe Falcão, Nazareno Andrade
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Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model 740-746
Wei Tsung Lu, Li Su
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MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer 747-754
Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer
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Understanding a Deep Machine Listening Model Through Feature Inversion 755-762
Saumitra Mishra, Bob L. Sturm, Simon Dixon
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Comparing RNN Parameters for Melodic Similarity 763-770
Tian Cheng, Satoru Fukayama, Masataka Goto
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Visualization of Audio Data Using Stacked Graphs 771-776
Mathieu Lagrange, Mathias Rossignol, Grégoire Lafay
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Two Web Applications for Exploring Melodic Patterns in Jazz Solos 777-783
Klaus Frieler, Frank Höger, Martin Pfleiderer, Simon Dixon
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Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game 784-791
Matthias Dorfer, Florian Henkel, Gerhard Widmer
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Matrix Co-Factorization for Cold-Start Recommendation 792-798
Olivier Gouvert, Thomas Oberlin, Cédric Févotte
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