List of accepted papers

While we are still working on the programme schedule, we are happy to already announce the list of accepted papers to ISMIR below.

Anniversary papers

 

Data Usage in MIR: History & Future Recommendations

Wenqin Chen (Smith College); Jessica Keast (Smith College); Jordan Moody (Smith College); Corinne Moriarty (Smith College); Felicia Villalobos (Smith College); Virtue Winter (Smith College); Xueqi Zhang (Smith College); Xuanqi Lyu (Smith College); Elizabeth Freeman (Smith College); Jessie Wang (Smith College); Sherry Cai (Smith College); Katherine Kinnaird (Smith College)

 

Music Performance Analysis: A Survey

Alexander Lerch (Georgia Institute of Technology); Claire Arthur (Georgia Institute of Technology); Ashis Pati (Georgia Institute of Technology); Siddharth Gururani (Georgia Institute of Technology)

 

Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come

Peter Knees (Vienna University of Technology); Markus Schedl (Johannes Kepler University); Masataka Goto (National Institute of Advanced Industrial Science and Technology (AIST))

 

20 Years of Automatic Chord Recognition from Audio

Johan Pauwels (Queen Mary University of London); Ken O'Hanlon (QMUL); Emilia Gomez (Universitat Pompeu Fabra); Mark B. Sandler (Queen Mary University of London)

 

Regular papers

 

Deep Unsupervised Drum Transcription

Keunwoo Choi (Spotify); Kyunghyun Cho (New York University)

 

Scalable Searching and Ranking for Melodic Pattern Queries

Philippe Rigaux (CNAM); Nicolas Travers (DVRC)

 

Towards Automatically Correcting Tapped Beat Annotations for Music Recordings

Jonathan Driedger (Chordify); Hendrik Schreiber (tagtraum industries incorporated); Bas de Haas (Chordify); Meinard Müller (International Audio Laboratories Erlangen)

 

Modeling Music Modality with a Key-Class Invariant Pitch Chroma CNN

Anders Elowsson (KTH Royal Institute of Technology); Anders Friberg (KTH Royal Institute of Technology)

 

A Diplomatic Edition of Il Lauro Secco: Ground Truth for OMR of White Mensural Notation

Emilia Parada-Cabaleiro (University of Augsburg); Anton Batliner (University of Augsburg); Björn Schuller (University of Augsburg)

 

FMP Notebooks: Educational Material for Teaching and Learning Fundamentals of Music Processing

Meinard Müller (International Audio Laboratories Erlangen); Frank Zalkow (International Audio Laboratories Erlangen)

 

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval

Stefan Balke (Johannes Kepler University Linz); Matthias Dorfer (Johannes Kepler University); Luis Carvalho (Johannes Kepler University); Andreas Arzt (Johannes Kepler University); Gerhard Widmer (Johannes Kepler University)

 

Can We Listen To It Together?: Factors Influencing Reception of Music Recommendations and Post-Recommendation Behavior

Jin Ha Lee (University of Washington); Liz Pritchard (University of Washington); Chris Hubbles ()

 

Controlling Symbolic Music Generation based on Concept Learning from Domain Knowledge

Taketo Akama (Sony CSL)

 

Unmixer: An Interface for Extracting and Remixing Loops

Jordan Smith (Queen Mary University of London); Yuta Kawasaki (National Institute of Advanced Industrial Science and Technology (AIST)); Masataka Goto (National Institute of Advanced Industrial Science and Technology (AIST))

 

Augmenting Music Listening Experiences on Voice Assistants

Morteza Behrooz (University of California Santa Cruz); Sarah Mennicken (Spotify); Jennifer Thom (Spotify); Rohit Kumar (Spotify); Henriette Cramer (Spotify)

 

Hit Song Prediction: Leveraging Low- and High-Level Audio Features

Eva Zangerle (University of Innsbruck); Michael Vötter (University of Innsbruck); Ramona Huber (University of Innsbruck); Yi-Hsuan Yang (Academia Sinica)

 

Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony

Daniel Harasim (École Polytechnique Fédérale de Lausanne); Timothy O'Donnell (McGill University); Martin Rohrmeier (Lausanne)

 

Learning Notation Graph Construction for Full-Pipeline Optical Music Recognition

Alexander Pacha (TU Wien); Jorge Calvo-Zaragoza (University of Alicante); Jan Hajič, jr. (Charles University)

 

Detecting Stable Regions in Frequency Trajectories for Tonal Analysis of Traditional Georgian Vocal Music

Sebastian Rosenzweig (International Audio Laboratories Erlangen); Frank Scherbaum (University of Potsdam); Meinard Müller (International Audio Laboratories Erlangen)

 

Supervised Symbolic Music Style Translation Using Synthetic Data

Ondřej Cífka (Télécom Paris); Umut Simsekli (Telecom ParisTech); Gael Richard (Telecom Paristech)

 

MIDI-Sheet Music Alignment Using Bootleg Score Synthesis

Thitaree Tanprasert (Harvey Mudd College); Teerapat Jenrungrot (Harvey Mudd College); Meinard Müller (International Audio Laboratories Erlangen); Timothy Tsai (Harvey Mudd College)

 

Leveraging knowledge bases and parallel annotations for music genre translation

Elena Epure (Deezer R&D); Anis KHLIF (Deezer R&D); Romain Hennequin (DEEZER)

 

A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity

Saebyul Park (KAIST); Taegyun Kwon (KAIST); Jongpil Lee (KAIST); Jeounghoon Kim (KAIST); Juhan Nam (KAIST)

 

Cover Detection Using Dominant Melody Embeddings

Guillaume Doras (Sacem); Geoffroy Peeters (Telecom ParisTech)

 

Temporal Convolutional Networks for Speech and Music Detection in Radio Broadcast

Quentin Lemaire (KTH Royal Institute of Technology); Andre Holzapfel (KTH Royal Institute of Technology in Stockholm)

 

Automatic Music Transcription and Ethnomusicology: a User Study

Andre Holzapfel (KTH Royal Institute of Technology in Stockholm); Emmanouil Benetos (Queen Mary University of London)

 

Community-Based Cover Song Detection

Jonathan Donier (Spotify Ltd)

 

Rendering Music Performance With Interpretation Variations Using Conditional Variational RNN

Akira Maezawa (Yamaha Corporation); Kazuhiko Yamamoto (Yamaha Corporation); Takuya Fujishima (Yamaha Corporation)

 

A Dataset of Rhythmic Pattern Reproductions and Baseline Automatic Assessment System

Felipe Falcão (Universidade Federal de Campina Grande); Barış Bozkurt (Izmir Demokrasi Universitesi); Xavier Serra (Universitat Pompeu Fabra ); Nazareno Andrade (Universidade Federal de Campina Grande); Ozan Baysal (Istanbul Technical University)

 

THE ROMANTEXT FORMAT: A FLEXIBLE AND STANDARD METHOD FOR REPRESENTING ROMAN NUMERAL ANALYSES

Mark Gotham (Cornell University); Dmitri Tymoczko (); Michael Cuthbert ()

 

TAKING FORM: A REPRESENTATION STANDARD, CONVERSION CODE, AND EXAMPLE CORPORA FOR RECORDING, VISUALIZING, AND STUDYING ANALYSES OF MUSICAL FORM

Mark Gotham (Cornell University); Matthew Ireland (Cambridge University)

 

Blending Acoustic and Language Model Predictions for Automatic Music Transcription

Adrien Ycart (Centre for Digital Music, Queen Mary University of London); Andrew McLeod (Kyoto University); Emmanouil Benetos (Queen Mary University of London); Kazuyoshi Yoshii (Kyoto University)

 

A comparative study of neural models for polyphonic music sequence transduction

Adrien Ycart (Centre for Digital Music, Queen Mary University of London); Daniel Stoller (Queen Mary University of London); Emmanouil Benetos (Queen Mary University of London)

 

Query by Video: Cross-modal Music Retrieval

Bochen Li (University of Rochester); Aparna Kumar (Spotify)

 

Harmony Transformer: Incorporating Chord Segmentation into Harmony Recognition

Tsung-Ping Chen (Academia Sinica); Li Su (Academia Sinica)

 

FOLDED CQT RCNN FOR REAL-TIME RECOGNITION OF INSTRUMENT PLAYING TECHNIQUES

Jean-Francois DUCHER (IRCAM); Philippe Esling (IRCAM)

 

A Bi-Directional Transformer for Musical Chord Recognition

Jonggwon Park (Seoul National University); Kyoyun Choi (Seoul National University); Sungwook Jeon (Seoul National University); Dokyun Kim (Seoul National University); Jonghun Park (Seoul National University)

 

Data-Driven Song Recognition Estimation Using Collective Memory Dynamics Models

Christos Koutlis (Center for Research and Technology Hellas); Manos Schinas (CERTH); Vasiliki Gkatziaki (CERTH-ITI); Symeon Papadopoulos (Information Technologies Institute / Centre for Research & Technology - Hellas, GR); Yiannis Kompatsiaris (CERTH-ITI)

 

Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other

Sebastian Böck (Austrian Research Institute for Artificial Intelligence); Matthew Davies (INESC TEC); Peter Knees (Vienna University of Technology)

 

Identification and Cross-Document Alignment of Measures in Music Score Images

Simon Waloschek (Center of Music and Film Informatics, Detmold University of Music); Aristotelis Hadjakos (Center of Music and Film Informatics, Detmold University of Music); Alexander Pacha (TU Wien)

 

Improving structure evaluation through automatic hierarchy expansion

Brian McFee (New York University); Katherine Kinnaird (Smith College)

 

An initial computational model for musical schemata theory

Andreas Katsiavalos (); Tom Collins (tbc); Bret Battey (dmu.ac.uk)

 

Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations

Gabriel Meseguer Brocal (IRCAM); Geoffroy Peeters (Telecom ParisTech)

 

Deep-Rhythm for Global Tempo Estimation in Music

Hadrien Foroughmand (IRCAM Lab - CNRS - Sorbonne Université); Geoffroy Peeters (Telecom ParisTech)

 

AIST Dance Video Database: Multi-Genre, Multi-Dancer, and Multi-Camera Database for Dance Information Processing

Shuhei Tsuchida (National Institute of Advanced Industrial Science and Technology (AIST)); Satoru Fukayama (National Institute of Advanced Industrial Science and Technology (AIST)); Masahiro Hamasaki (National Institute of Advanced Industrial Science and Technology (AIST)); Masataka Goto (National Institute of Advanced Industrial Science and Technology (AIST))

 

Towards Measuring Intonation Quality of Choir Recordings: A Case Study on Bruckner's Locus Iste

Christof Weiss (International Audio Laboratories Erlangen); Sebastian J. Schlecht (International Audio Laboratories Erlangen); Sebastian Rosenzweig (International Audio Laboratories Erlangen); Meinard Müller (International Audio Laboratories Erlangen)

 

Guitar Tablature Estimation with a Convolutional Neural Network

Andrew Wiggins (Drexel University); Youngmoo Kim (Drexel University)

 

Tunes Together: Perception and Experience of Collaborative Playlists

So Yeon Park (Stanford University); Audrey Laplante (Université de Montréal); Jin Ha Lee (University of Washington); Blair Kaneshiro (Stanford University)

 

Generalized Metrics for Single-f0 Estimation Evaluation

Rachel Bittner (Spotify); Juan Jose Bosch (Spotify)

 

SUPRA: Digitizing the Stanford University Piano Roll Archive

Zhengshan Shi (Stanford University,CCRMA); Craig Sapp (Stanford University); Kumaran Arul (Stanford University); Jerry McBride (Stanford University); Julius Smith (Stanford University)

 

Fast and Flexible Neural Audio Synthesis

Lamtharn Hantrakul (Google Brain); Jesse Engel (Google); Adam Roberts (Google Brain); Chenjie Gu (Deepmind); Lamtharn Hantrakul (Google Brain)

 

LARGE-VOCABULARY CHORD TRANSCRIPTION VIA CHORD STRUCTURE DECOMPOSITION

Junyan Jiang (Carnegie Mellon University); Ke Chen (Fudan University); Wei Li (Fudan University); Gus Xia (New York University Shanghai)

 

Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style

Jeffrey Ens (Simon Fraser University); Philippe Pasquier (Simon Fraser University)

 

Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model

Go Shibata ( Kyoto University); Ryo Nishikimi (Kyoto University); Eita NAKAMURA (Kyoto University); Kazuyoshi Yoshii (Kyoto University)

 

Mosaic style transfer using sparse autocorrelograms

Daniel MacKinlay (UNSW Sydney); Zdravko Botev (UNSW Sydney)

 

Pattern Clustering in Monophonic Music by Learning a Non-Linear Embedding From Human Annotations

Timothy de Reuse (McGill University); Ichiro Fujinaga (McGill University)

 

Learning to Generate Music With Sentiment

Lucas Ferreira (University of California, Santa Cruz); Jim Whitehead (University of California, Santa Cruz)

 

Query-by-Blending: A Music Exploration System Blending Latent Vector Representations of Lyric Word, Song Audio, and Artist

Kento Watanabe (National Institute of Advanced Industrial Science and Technology (AIST)); Masataka Goto (National Institute of Advanced Industrial Science and Technology (AIST))

 

Hierarchical classification networks for singing voice segmentation and transcription

Fu Zih-Sing (National Taiwan University); Li Su (Academia Sinica)

 

MIDI Passage Retrieval Using Cell Phone Pictures of Sheet Music

Daniel Yang (Harvey Mudd College); Thitaree Tanprasert (Harvey Mudd College); Teerapat Jenrungrot (Harvey Mudd College); Mengyi Shan (Harvey Mudd College); Timothy Tsai (Harvey Mudd College)

 

Microtiming Analysis in Traditional Shetland Fiddle Music

Estefania Cano (Fraunhofer IDMT); Scott Beveridge (Sonquito)

 

Can We Increase Inter- and Intra-Rater Agreement in Modeling General Music Similarity?

Arthur Flexer (Austrian Research Institute for Artificial Intelligence); Taric Lallai (Austrian Research Institute for Artificial Intelligence)

 

Learning Similarity Metrics for Melody Retrieval

Folgert Karsdorp (Meertens Institute); Peter Kranenburg (Meertens Insitute, Amsterdam, Netherlands); Enrique Manjavacas (University of Antwerp )

 

Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning

Magdalena Fuentes (L2S CentraleSupéléc and LTCI Télécom ParisTech); Lucas Maia (Universidade Federal do Rio de Janeiro); Martín Rocamora (Universidad de la República); Luiz Biscainho (UFRJ); Helene-Camille Crayencour (CNRS); Slim Essid (Telecom Paristech); Juan Bello (New York University)

 

SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis

Lucas Maia (Universidade Federal do Rio de Janeiro); Magdalena Fuentes (L2S CentraleSupéléc and LTCI Télécom ParisTech); Luiz Biscainho (UFRJ); Martín Rocamora (Universidad de la República); Slim Essid (Telecom Paristech)

 

INVESTIGATING CNN-BASED INSTRUMENT FAMILY RECOGNITION FOR WESTERN CLASSICAL MUSIC RECORDINGS

Michael Taenzer (Fraunhofer IDMT); Jakob Abeßer (Fraunhofer IDMT); Stylianos I. Mimilakis (Fraunhofer IDMT); Christof Weiss (International Audio Laboratories Erlangen); Meinard Müller (International Audio Laboratories Erlangen)

 

Modeling and learning structural breaks in sonata forms

Laurent Feisthauer (Université de Lille); Louis Bigo (Université de Lille); Mathieu Giraud (CNRS, Université de Lille)

 

A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music

Thassilo Gadermaier (Johannes Kepler University Linz); Gerhard Widmer (Johannes Kepler University)

 

20 Years of Playlists: A Statistical Analysis on Popularity and Diversity

Lorenzo Porcaro (Pompeu Fabra University); Emilia Gomez (Universitat Pompeu Fabra)

 

Improving Singing Aid System for Laryngectomees With Statistical Voice Conversion and VAE-SPACE

Li Li (University of Tsukuba); Tomoki Toda (Nagoya University); Kazuho Morikawa (Graduate School of Informatics, Nagoya University); Kazuhiro Kobayashi (Nagoya University); Shoji Makino (University of Tsukuba)

 

Mapping timing strategies in drum performance

George Sioros (University of Oslo); Guilherme Câmara (University of Oslo); Anne Danielsen (University of Oslo)

 

A Convolutional Approach to Melody Line Identification in Symbolic Scores

Federico Simonetta (Università di Milano); Carlos Eduardo Cancino-Chacón (Austrian Research Institute for Artificial Intelligence); Stavros Ntalampiras (University of Milan); Gerhard Widmer (Johannes Kepler University)

 

DEEP MUSIC ANALOGY VIA LATENT REPRESENTATION DISENTANGLEMENT

Ruihan Yang (New York University Shanghai); Dingsu Wang (NYU Shanghai); Ziyu Wang (NYU Shanghai); Tianyao Chen (NYU Shanghai); Junyan Jiang (Carnegie Mellon University); Gus Xia (New York University Shanghai)

 

The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR Publications

Thomas Low (Otto von Guericke University); Christian Hentschel (Hasso-Plattner-Institut); Sayantan Polley (Otto von Guericke University); Anustup Das (Otto von Guericke University); Harald Sack (FIZ Karlsruhe); Andreas Nurnberger ( Magdeburg University); Sebastian Stober (Otto von Guericke University)

 

Towards Explainable Music Emotion Recognition: The Route via Mid-level Features

Shreyan Chowdhury (Johannes Kepler University Linz); Andreu Vall Portabella (Johannes Kepler University); Verena Haunschmid (Johannes Kepler University Linz); Gerhard Widmer (Johannes Kepler University)

 

VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance

Dasaem Jeong (KAIST); Taegyun Kwon (KAIST); Yoojin Kim (KAIST); Kyogu Lee (Seoul National University); Juhan Nam (KAIST)

 

Auto-adaptive Resonance Equalization using Dilated Residual Networks

Maarten Grachten (N/A); Emmanuel Deruty (Sony CSL Paris); Alexandre Tanguy (Yascore)

 

Identifying expressive semantics in orchestral conducting kinematics

Yu-Fen Huang (Academia Sinica); Tsung-Ping Chen (Academia Sinica); Nikki Moran (Edinburgh University); Simon Coleman (Edinburgh University); Li Su (Academia Sinica)

 

Backtracking Search Heuristics for Solving the All-partition Array Problem

Brian Bemman (Aalborg University); David Meredith (Aalborg University)

 

Contributing to new musicological theories with computational methods: The case of centonization in Arab-Andalusian music

Thomas Nuttall (Music Technology Group, Universitat Pompeu Fabra, Barcelona); Miguel García-Casado (Music Technology Group, Universitat Pompeu Fabra, Barcelona); Víctor Núñez-Tarifa (Music Technology Group, Universitat Pompeu Fabra, Barcelona); Rafael Caro Repetto (Music Technology Group, Universitat Pompeu Fabra, Barcelona); Xavier Serra (Universitat Pompeu Fabra )

 

Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders

Yin-Jyun Luo (Singapore University of Technology and Design); Kat Agres (ASTAR IHPC); Dorien Herremans (SUTD)

 

Automatic Choreography Generation with Convolutional Encoder-decoder Network

Juheon Lee (Seoul National University); Seohyun Kim (Seoul National University); Kyogu Lee (Seoul National University)

 

Audio query-based music source separation

Jie Hwan Lee (Seoul National University ); Hyeong-Seok Choi (Seoul National University); Kyogu Lee (Seoul National University)

 

Towards Interpretable Polyphonic Transcription with Invertible Neural Networks

Rainer Kelz (Austrian Research Institute for Artificial Intelligence (OFAI)); Gerhard Widmer (Johannes Kepler University)

 

An Interactive Workflow for Generating Chord Labels for Homorhythmic Music in Symbolic Formats

Yaolong Ju (McGill University); Samuel Howes (McGill University); Cory McKay (Marianopolis College); Nathaniel Condit-Schultz (Georgia Institute of Technology); Jorge Calvo-Zaragoza (University of Alicante); Ichiro Fujinaga (McGill University)

 

The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale

Dmitry Bogdanov (Universitat Pompeu Fabra); Alastair Porter (Universitat Pompeu Fabra); Hendrik Schreiber (tagtraum industries incorporated); Julián Urbano (Delft University of Technology); Sergio Oramas (Pandora Media Inc.)

 

A Holistic Approach to Polyphonic Music Transcription with Neural Networks

Miguel Roman (University of Alicante); Antonio Pertusa (University of Alicante); Jorge Calvo-Zaragoza (University of Alicante)

 

humdrumR: a New Take on an Old Approach to Computational Musicology

Nathaniel Condit-Schultz (Georgia Institute of Technology); Claire Arthur (Georgia Institute of Technology)

 

Algorithmic ability to predict the musical future: Datasets and evaluation

Berit Janssen (Utrecht University); Tom Collins (tbc); Iris Yuping Ren (Utrecht University)

 

Modelling the Syntax of North Indian Melodies with a Generalized Graph Grammar

Christoph Finkensiep (EPFL); Richard Widdess (SOAS University of Londond); Martin Rohrmeier (Lausanne)

 

Learning Complex Basis Functions for Invariant Representations of Audio

Stefan Lattner (Sony Computer Science Laboratories, Paris); Monika Dörfler (University of Vienna); Andreas Arzt (Johannes Kepler University)

 

GENERATING STRUCTURED DRUM PATTERN USING VARIATIONALAUTOENCODER AND SELF-SIMILARITY MATRIX

I-CHIEH WEI (Institute of Information Science Academia Sinica); Chih-Wei Wu (Netflix, Inc.); Li Su (Academia Sinica)

 

Quantifying Disruptive Influence in the AllMusic Guide

Flavio Figueiredo (UFMG); Nazareno Andrade (Universidade Federal de Campina Grande)

 

Automatic Assessment of Sight-reading Exercises

Jiawen Huang (Georgia Institute of Technology); Alexander Lerch (Georgia Institute of Technology)

 

Learning to Traverse Latent Spaces for Musical Score Inpainting

Ashis Pati (Georgia Institute of Technology); Alexander Lerch (Georgia Institute of Technology); Gaëtan Hadjeres (Sony CSL)

 

Self-Supervised Methods for Learning Semantic Similarity in Music

Mason Bretan (Samsung Research America); Larry Heck (Samsung Research America)

 

Da-TACOS: A Dataset for Cover Song Identification and Understanding

Furkan Yesiler (Universitat Pompeu Fabra); Chris Tralie (); Albin Correya (Music Technology Group, Universitat Pompeu Fabra); Diego Furtado Silva (Universidade Federal de São Carlos); Philip Tovstogan (Music Technology Group, Universitat Pompeu Fabra); Emilia Gomez (Universitat Pompeu Fabra); Xavier Serra (Universitat Pompeu Fabra )

 

mirdata: Software for Reproducible Usage of Datasets

Rachel Bittner (Spotify); Magdalena Fuentes (L2S CentraleSupéléc and LTCI Télécom ParisTech); David Rubinstein (Spotify); Andreas Jansson (Spotify); Keunwoo Choi (Spotify); Thor Kell (Spotify)

 

Estimating Unobserved Audio Features for Target-Based Orchestration

Jon Gillick (UC Berkeley); Carmine-Emanuele Cella (University of California, Berkeley); David Bamman (UC Berkeley)

 

Adaptive Time--Frequency Scattering for Periodic Modulation Recognition in Music Signals

Changhong Wang (Queen Mary University of London); Emmanouil Benetos (Queen Mary University of London); Vincent Lostanlen (Cornell Lab of Ornithology); Elaine Chew (CNRS-UMR9912/STMS IRCAM, Paris, France)

 

LakhNES: Improving multi-instrumental music generation with cross-domain pre-training

Chris Donahue (UC San Diego); Huanru Henry Mao (UC San Diego); Yiting Ethan Li (UC San Diego); Garrison Cottrell (University of California, San Diego); Julian McAuley (UCSD)

 

JosquIntab: A dataset for content-based computational analysis of music in lute tablature

Reinier de Valk (Jukedeck); Ryaan Ahmed (MIT School of Humanities, Arts, and Social Sciences); Tim Crawford (Department of Computing, Goldsmiths, University of London, UK)

 

Evolution of the Informational Complexity of Contemporary Western Music

Thomas Parmer (Indiana University); Yong-Yeol Ahn (Indiana University)

 

The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music

Oriol Nieto (Pandora); Matthew McCallum (Pandora); Matthew Davies (INESC TEC); Andrew Robertson (Ableton); Adam Stark (MI·MU); Eran Egozy (MIT)

 

An Attention Mechanism for Musical Instrument Recognition

Siddharth Gururani (Georgia Institute of Technology); Mohit Sharma (Georgia Institute of Technology); Alexander Lerch (Georgia Institute of Technology)

 

Adversarial Learning for Improved Onsets and Frames Music Transcription

Jong Wook Kim (New York University); Juan Bello (New York University)

 

Zero-shot Learning for Audio-based Music Classification and Tagging

Jeong Choi (KAIST); Jongpil Lee (KAIST); Jiyoung Park (NAVER Corp.); Juhan Nam (KAIST)

 

Coupled Recurrent Models for Polyphonic Music Composition

John Thickstun (University of Washington); Zaid Harchaoui (University of Washington); Dean Foster (Amazon); Sham Kakade (University of Washington)

 

Convolutional Composer Classification

Harsh Verma (University of Washington); John Thickstun (University of Washington)

 

Learning a joint embedding space of monophonic and mixed music signals for singing voice

Kyungyun Lee (KAIST); Juhan Nam (KAIST)

 

Analyzing User Interactions with Music Information Retrieval System: An Eye-tracking Approach

Xiao Hu (The University of Hong Kong); Ying Que (The University of Hong Kong); Noriko Kando (National Institute of Informatics); Wenwei Lian (The University of Hong Kong)

 

DeepSRGM - SEQUENCE CLASSIFICATION and RANKING in INDIAN CLASSICAL MUSIC via DEEP LEARNING

Sathwik Tejaswi Madhusudhan (University of Illinois, Urbana Champaign); Girish Chowdhary (University of Illinois at Urbana Champaign)

 

Approachable music composition with machine learning at scale

Cheng-Zhi Anna Huang (Google Brain); Curtis Hawthorne (Google Brain); Adam Roberts (Google Brain); Monica Dinculescu (Google Brain); James Wexler (); Leon Hong (Google); Jacob Howcroft (Google)

 

BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine

Yichao Zhou (UC Berkeley); Wei Chu (Liulishuo); Sam Young (UCLA); Xin Chen (Snap Inc)