Table of Contents

• Data Usage in MIR: History & Future RecommendationsWenqin Chen, Jessica Keast, Jordan Moody, Corinne Moriarty, Felicia Villalobos, Virtue Winter, Xueqi Zhang, Xuanqi Lyu, Elizabeth Freeman, Jessie Wang, Sherry Cai, Katherine M. Kinnaird. 25-32 [doi]
• Music Performance Analysis: A SurveyAlexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani. 33-43 [doi]
• Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to ComePeter Knees, Markus Schedl, Masataka Goto. 44-53 [doi]
• 20 Years of Automatic Chord Recognition from AudioJohan Pauwels, Ken O'Hanlon, Emilia Gómez, Mark B. Sandler. 54-63 [doi]
• Zero-shot Learning for Audio-based Music Classification and TaggingJeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam. 67-74 [doi]
• Learning Notation Graph Construction for Full-Pipeline Optical Music RecognitionAlexander Pacha, Jorge Calvo-Zaragoza, Jan Hajic Jr.. 75-82 [doi]
• An Attention Mechanism for Musical Instrument RecognitionSiddharth Gururani, Mohit Sharma, Alexander Lerch. 83-90 [doi]
• MIDI-Sheet Music Alignment Using Bootleg Score SynthesisThitaree Tanprasert, Teerapat Jenrungrot, Meinard Müller, Timothy Tsai. 91-98 [doi]
• mirdata: Software for Reproducible Usage of DatasetsRachel M. Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, Thor Kell. 99-106 [doi]
• Cover Detection Using Dominant Melody EmbeddingsGuillaume Doras, Geoffroy Peeters. 107-114 [doi]
• Identifying Expressive Semantics in Orchestral Conducting KinematicsYu-Fen Huang, Tsung-Ping Chen, Nikki Moran, Simon Coleman, Li Su. 115-122 [doi]
• The RomanText Format: A Flexible and Standard Method for Representing Roman Numerial AnalysesMark Gotham, Dmitri Tymoczko, Michael Scott Cuthbert. 123-129 [doi]
• 20 Years of Playlists: A Statistical Analysis on Popularity and DiversityLorenzo Porcaro, Emilia Gómez. 130-136 [doi]
• Identification and Cross-Document Alignment of Measures in Music Score ImagesSimon Waloschek, Aristotelis Hadjakos, Alexander Pacha. 137-143 [doi]
• Query-by-Blending: A Music Exploration System Blending Latent Vector Representations of Lyric Word, Song Audio, and ArtistKento Watanabe, Masataka Goto. 144-151 [doi]
• Improving Structure Evaluation Through Automatic Hierarchy ExpansionBrian McFee, Katherine M. Kinnaird. 152-158 [doi]
• Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source SeparationsGabriel Meseguer-Brocal, Geoffroy Peeters. 159-165 [doi]
• An Initial Computational Model for Musical Schemata TheoryAndreas Katsiavalos, Tom Collins, Bret Battey. 166-172 [doi]
• Evolution of the Informational Complexity of Contemporary Western MusicThomas Parmer, Yong-Yeol Ahn. 175-182 [doi]
• Deep Unsupervised Drum TranscriptionKeunwoo Choi, KyungHyun Cho. 183-191 [doi]
• Estimating Unobserved Audio Features for Target-Based OrchestrationJon Gillick, Carmine-Emanuele Cella, David Bamman. 192-199 [doi]
• Towards Automatically Correcting Tapped Beat Annotations for Music RecordingsJonathan Driedger, Hendrik Schreiber, W. Bas de Haas, Meinard Müller. 200-207 [doi]
• Algorithmic Ability to Predict the Musical Future: Datasets and EvaluationBerit Janssen, Tom Collins, Iris Yuping Ren. 208-215 [doi]
• Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music RetrievalStefan Balke, Matthias Dorfer, Luis Carvalho, Andreas Arzt, Gerhard Widmer. 216-222 [doi]
• Contributing to New Musicological Theories with Computational Methods: The Case of Centonization in Arab-Andalusian MusicThomas Nuttall, Miguel García-Casado, Víctor Núñez-Tarifa, Rafael Caro Repetto, Xavier Serra. 223-228 [doi]
• Temporal Convolutional Networks for Speech and Music Detection in Radio BroadcastQuentin Lemaire, Andre Holzapfel. 229-236 [doi]
• Towards Explainable Music Emotion Recognition: The Route via Mid-level FeaturesShreyan Chowdhury, Andreu Vall Portabella, Verena Haunschmid, Gerhard Widmer. 237-243 [doi]
• Community-Based Cover Song DetectionJonathan Donier. 244-250 [doi]
• Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep LearningMagdalena Fuentes, Lucas Maia, Martín Rocamora, Luiz W. P. Biscainho, Hélène Camille Crayencour, Slim Essid, Juan Pablo Bello. 251-258 [doi]
• Harmony Transformer: Incorporating Chord Segmentation into Harmony RecognitionTsung-Ping Chen, Li Su. 259-267 [doi]
• Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov ModelGo Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii. 268-275 [doi]
• Towards Measuring Intonation Quality of Choir Recordings: A Case Study on Bruckner's Locus IsteChristof Weiss, Sebastian J. Schlecht, Sebastian Rosenzweig, Meinard Müller. 276-283 [doi]
• Guitar Tablature Estimation with a Convolutional Neural NetworkAndrew Wiggins, Youngmoo Kim. 284-291 [doi]
• Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing VoiceKyungyun Lee, Juhan Nam. 295-302 [doi]
• Augmenting Music Listening Experiences on Voice AssistantsMorteza Behrooz, Sarah Mennicken, Jennifer Thom, Rohit Kumar, Henriette Cramer. 303-310 [doi]
• Coupled Recurrent Models for Polyphonic Music CompositionJohn Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade. 311-318 [doi]
• Hit Song Prediction: Leveraging Low- and High-Level Audio FeaturesEva Zangerle, Michael Vötter, Ramona Huber, Yi-Hsuan Yang. 319-326 [doi]
• Da-TACOS: A Dataset for Cover Song Identification and UnderstandingFurkan Yesiler, Chris Tralie, Albin Andrew Correya, Diego Furtado Silva, Philip Tovstogan, Emilia Gómez, Xavier Serra. 327-334 [doi]
• Harmonic Syntax in Time: Rhythm Improves Grammatical Models of HarmonyDaniel Harasim, Timothy J. O'Donnell, Martin Rohrmeier. 335-342 [doi]
• Learning to Traverse Latent Spaces for Musical Score InpaintingAshis Pati, Alexander Lerch, Gaëtan Hadjeres. 343-351 [doi]
• Detecting Stable Regions in Frequency Trajectories for Tonal Analysis of Traditional Georgian Vocal MusicSebastian Rosenzweig, Frank Scherbaum, Meinard Müller. 352-359 [doi]
• The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-ScaleDmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas. 360-367 [doi]
• Data-Driven Song Recognition Estimation Using Collective Memory Dynamics ModelsChristos Koutlis, Manos Schinas, Vasiliki Gkatziaki, Symeon Papadopoulos, Yiannis Kompatsiaris. 368-375 [doi]
• Towards Interpretable Polyphonic Transcription with Invertible Neural NetworksRainer Kelz, Gerhard Widmer. 376-383 [doi]
• Learning to Generate Music With SentimentLucas Ferreira, Jim Whitehead. 384-390 [doi]
• Backtracking Search Heuristics for Solving the All-partition Array ProblemBrian Bemman, David Meredith 0001. 391-397 [doi]
• Modeling and Learning Structural Breaks in Sonata FormsLaurent Feisthauer, Louis Bigo, Mathieu Giraud. 398-404 [doi]
• Auto-adaptive Resonance Equalization using Dilated Residual NetworksMaarten Grachten, Emmanuel Deruty, Alexandre Tanguy. 405-411 [doi]
• Analyzing User Interactions with Music Information Retrieval System: An Eye-tracking ApproachXiao Hu 0001, Ying Que, Noriko Kando, Wenwei Lian. 415-422 [doi]
• A Cross-Scape Plot Representation for Visualizing Symbolic Melodic SimilaritySaebyul Park, Taegyun Kwon, Jongpil Lee, Jeounghoon Kim, Juhan Nam. 423-430 [doi]
• JosquIntab: A Dataset for Content-based Computational Analysis of Music in Lute TablatureReinier de Valk, Ryaan Ahmed, Tim Crawford. 431-438 [doi]
• A Dataset of Rhythmic Pattern Reproductions and Baseline Automatic Assessment SystemFelipe Falcão, Baris Bozkurt, Xavier Serra, Nazareno Andrade, Ozan Baysal. 439-445 [doi]
• Self-Supervised Methods for Learning Semantic Similarity in MusicMason Bretan, Larry P. Heck. 446-453 [doi]
• Blending Acoustic and Language Model Predictions for Automatic Music TranscriptionAdrien Ycart, Andrew Mcleod, Emmanouil Benetos, Kazuyoshi Yoshii. 454-461 [doi]
• Modelling the Syntax of North Indian Melodies with a Generalized Graph GrammarChristoph Finkensiep, Richard Widdess, Martin Rohrmeier. 462-469 [doi]
• A Comparative Study of Neural Models for Polyphonic Music Sequence TransductionAdrien Ycart, Daniel Stoller, Emmanouil Benetos. 470-477 [doi]
• Learning Similarity Metrics for Melody RetrievalFolgert Karsdorp, Peter van Kranenburg, Enrique Manjavacas. 478-485 [doi]
• Multi-Task Learning of Tempo and Beat: Learning One to Improve the OtherSebastian Böck, Matthew E. P. Davies, Peter Knees. 486-493 [doi]
• Can We Increase Inter- and Intra-Rater Agreement in Modeling General Music Similarity?Arthur Flexer, Taric Lallai. 494-500 [doi]
• AIST Dance Video Database: Multi-Genre, Multi-Dancer, and Multi-Camera Database for Dance Information ProcessingShuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki, Masataka Goto. 501-510 [doi]
• Microtiming Analysis in Traditional Shetland Fiddle MusicEstefanía Cano, Scott Beveridge. 511-516 [doi]
• SUPRA: Digitizing the Stanford University Piano Roll ArchiveZhengshan Shi, Craig Sapp, Kumaran Arul, Jerry McBride, Julius O. Smith III. 517-523 [doi]
• Fast and Flexible Neural Audio SynthesisLamtharn Hantrakul, Jesse H. Engel, Adam Roberts, Chenjie Gu. 524-530 [doi]
• DeepSRGM - Sequence Classification and Ranking in Indian Classical Music Via Deep LearningSathwik Tejaswi Madhusudhan, Girish Chowdhary 0001. 533-540 [doi]
• Modeling Music Modality with a Key-Class Invariant Pitch Chroma CNNAnders Elowsson, Anders Friberg. 541-548 [doi]
• Convolutional Composer ClassificationHarsh Verma, John Thickstun. 549-556 [doi]
• A Diplomatic Edition of Il Lauro Secco: Ground Truth for OMR of White Mensural NotationEmilia Parada-Cabaleiro, Anton Batliner, Björn W. Schuller. 557-564 [doi]
• The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular MusicOriol Nieto, Matthew McCallum, Matthew E. P. Davies, Andrew Robertson, Adam M. Stark, Eran Egozy. 565-572 [doi]
• FMP Notebooks: Educational Material for Teaching and Learning Fundamentals of Music ProcessingMeinard Müller, Frank Zalkow. 573-580 [doi]
• Automatic Assessment of Sight-reading ExercisesJiawen Huang, Alexander Lerch. 581-587 [doi]
• Supervised Symbolic Music Style Translation Using Synthetic DataOndrej Cífka, Umut Simsekli, Gaël Richard. 588-595 [doi]
• Deep Music Analogy Via Latent Representation DisentanglementRuihan Yang, Dingsu Wang, Ziyu Wang, Tianyao Chen, Junyan Jiang, Gus Xia. 596-603 [doi]
• Query by Video: Cross-modal Music RetrievalBochen Li, Aparna Kumar. 604-611 [doi]
• Investigating CNN-based Instrument Family Recognition for Western Classical Music RecordingsMichael Taenzer, Jakob Abeßer, Stylianos I. Mimilakis, Christof Weiss, Meinard Müller. 612-619 [doi]
• A Bi-Directional Transformer for Musical Chord RecognitionJonggwon Park, Kyoyun Choi, Sungwook Jeon, Dokyun Kim, Jonghun Park. 620-627 [doi]
• SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music AnalysisLucas Maia, Magdalena Fuentes, Luiz W. P. Biscainho, Martín Rocamora, Slim Essid. 628-635 [doi]
• Deep-Rhythm for Global Tempo Estimation in MusicHadrien Foroughmand Aarabi, Geoffroy Peeters. 636-643 [doi]
• Large-vocabulary Chord Transcription Via Chord Structure DecompositionJunyan Jiang, Ke Chen, Wei Li, Gus Xia. 644-651 [doi]
• BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition MachineYichao Zhou, Wei Chu, Sam Young, Xin Chen. 655-662 [doi]
• Can We Listen To It Together?: Factors Influencing Reception of Music Recommendations and Post-Recommendation Behavior Jin Ha Lee, Liz Pritchard, Chris Hubbles. 663-669 [doi]
• Adversarial Learning for Improved Onsets and Frames Music TranscriptionJong Wook Kim, Juan Pablo Bello. 670-677 [doi]
• Automatic Music Transcription and Ethnomusicology: a User StudyAndre Holzapfel, Emmanouil Benetos. 678-684 [doi]
• LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-trainingChris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley. 685-692 [doi]
• Taking Form: A Representation Standard, Conversion Code, and Example Corpora for Recording, Visualizing, and Studying Analyses of Musical FormMark Gotham, Matthew Ireland. 693-699 [doi]
• Learning Complex Basis Functions for Invariant Representations of AudioStefan Lattner, Monika Dörfler, Andreas Arzt. 700-707 [doi]
• Folded CQT RCNN For Real-time Recognition of Instrument Playing TechniquesJean-François Ducher, Philippe Esling. 708-714 [doi]
• humdrumR: a New Take on an Old Approach to Computational MusicologyNathaniel Condit-Schultz, Claire Arthur. 715-722 [doi]
• Tunes Together: Perception and Experience of Collaborative PlaylistsSo-Yeon Park, Audrey Laplante, Jin Ha Lee, Blair Kaneshiro. 723-730 [doi]
• A Holistic Approach to Polyphonic Music Transcription with Neural NetworksMiguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza. 731-737 [doi]
• Generalized Metrics for Single-f0 Estimation EvaluationRachel M. Bittner, Juan J. Bosch. 738-745 [doi]
• Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational AutoencodersYin-Jyun Luo, Kat Agres, Dorien Herremans. 746-753 [doi]
• The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR PublicationsThomas Low, Christian Hentschel, Sayantan Polley, Anustup Das, Harald Sack, Andreas Nürnberger, Sebastian Stober. 754-760 [doi]
• Pattern Clustering in Monophonic Music by Learning a Non-Linear Embedding From Human AnnotationsTimothy de Reuse, Ichiro Fujinaga. 761-768 [doi]
• A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral MusicThassilo Gadermaier, Gerhard Widmer. 769-775 [doi]
• Mapping Timing Strategies in Drum PerformanceGeorge Sioros, Guilherme Câmara, Anne Danielsen. 776-783 [doi]
• Improving Singing Aid System for Laryngectomees With Statistical Voice Conversion and VAE-SPACELi Li, Tomoki Toda, Kazuho Morikawa, Kazuhiro Kobayashi, Shoji Makino. 784-790 [doi]
• Approachable Music Composition with Machine Learning at ScaleCheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, Jacob Howcroft. 793-800 [doi]
• Scalable Searching and Ranking for Melodic Pattern QueriesPhilippe Rigaux, Nicolas Travers. 801-808 [doi]
• Adaptive Time-Frequency Scattering for Periodic Modulation Recognition in Music SignalsChanghong Wang, Emmanouil Benetos, Vincent Lostanlen, Elaine Chew. 809-815 [doi]
• Controlling Symbolic Music Generation based on Concept Learning from Domain KnowledgeTaketo Akama. 816-823 [doi]
• Unmixer: An Interface for Extracting and Remixing LoopsJordan B. L. Smith, Yuta Kawasaki, Masataka Goto. 824-831 [doi]
• Quantifying Disruptive Influence in the AllMusic GuideFlavio Figueiredo, Nazareno Andrade. 832-838 [doi]
• Leveraging knowledge bases and parallel annotations for music genre translationElena V. Epure, Anis Khlif, Romain Hennequin. 839-846 [doi]
• Generating Structured Drum Pattern Using Variational Autoencoder and Self-similarity MatrixI-Chieh Wei, Chih-Wei Wu, Li Su. 847-854 [doi]
• Rendering Music Performance With Interpretation Variations Using Conditional Variational RNNAkira Maezawa, Kazuhiko Yamamoto, Takuya Fujishima. 855-861 [doi]
• An Interactive Workflow for Generating Chord Labels for Homorhythmic Music in Symbolic FormatsYaolong Ju, Samuel Howes, Cory McKay, Nathaniel Condit-Schultz, Jorge Calvo-Zaragoza, Ichiro Fujinaga. 862-869 [doi]
• Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a StyleJeffrey Ens, Philippe Pasquier. 870-877 [doi]
• Audio Query-based Music Source SeparationJie Hwan Lee, Hyeong-Seok Choi, Kyogu Lee. 878-885 [doi]
• Mosaic Style Transfer Using Sparse AutocorrelogramsDaniel Mackinlay, Zdravko I. Botev. 886-893 [doi]
• Automatic Choreography Generation with Convolutional Encoder-decoder NetworkJuheon Lee, Seohyun Kim, Kyogu Lee. 894-899 [doi]
• Hierarchical Classification Networks for Singing Voice Segmentation and TranscriptionFu Zih-Sing, Li Su. 900-907 [doi]
• VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano PerformanceDasaem Jeong, Taegyun Kwon, YooJin Kim, Kyogu Lee, Juhan Nam. 908-915 [doi]
• MIDI Passage Retrieval Using Cell Phone Pictures of Sheet MusicDaniel Yang, Thitaree Tanprasert, Teerapat Jenrungrot, Mengyi Shan, Timothy Tsai. 916-923 [doi]
• A Convolutional Approach to Melody Line Identification in Symbolic ScoresFederico Simonetta, Carlos Eduardo Cancino Chacón, Stavros Ntalampiras, Gerhard Widmer. 924-931 [doi]