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ORCID20th ISMIR 2019: Delft, The Netherlands
- Arthur Flexer, Geoffroy Peeters, Julián Urbano, Anja Volk:
Proceedings of the 20th International Society for Music Information Retrieval Conference, ISMIR 2019, Delft, The Netherlands, November 4-8, 2019. 2019, ISBN 978-1-7327299-1-9
Papers
- Wenqin Chen, Jessica Keast, Jordan Moody, Corinne Moriarty, Felicia Villalobos, Virtue Winter, Xueqi Zhang, Xuanqi Lyu, Elizabeth Freeman, Jessie Wang, Sherry Cai, Katherine M. Kinnaird:
Data Usage in MIR: History & Future Recommendations. 25-32 - Alexander Lerch, Claire Arthur, Ashis Pati, Siddharth Gururani:
Music Performance Analysis: A Survey. 33-43 - Peter Knees, Markus Schedl, Masataka Goto:
Intelligent User Interfaces for Music Discovery: The Past 20 Years and What's to Come. 44-53 - Johan Pauwels
, Ken O'Hanlon, Emilia Gómez, Mark B. Sandler:
20 Years of Automatic Chord Recognition from Audio. 54-63 - Jeong Choi, Jongpil Lee, Jiyoung Park, Juhan Nam:
Zero-shot Learning for Audio-based Music Classification and Tagging. 67-74 - Alexander Pacha, Jorge Calvo-Zaragoza, Jan Hajic jr.:
Learning Notation Graph Construction for Full-Pipeline Optical Music Recognition. 75-82 - Siddharth Gururani, Mohit Sharma, Alexander Lerch:
An Attention Mechanism for Musical Instrument Recognition. 83-90 - Thitaree Tanprasert, Teerapat Jenrungrot, Meinard Müller, Timothy Tsai:
MIDI-Sheet Music Alignment Using Bootleg Score Synthesis. 91-98 - Rachel M. Bittner, Magdalena Fuentes, David Rubinstein, Andreas Jansson, Keunwoo Choi, Thor Kell:
mirdata: Software for Reproducible Usage of Datasets. 99-106 - Guillaume Doras, Geoffroy Peeters:
Cover Detection Using Dominant Melody Embeddings. 107-114 - Yu-Fen Huang, Tsung-Ping Chen, Nikki Moran, Simon Coleman, Li Su:
Identifying Expressive Semantics in Orchestral Conducting Kinematics. 115-122 - Mark Gotham, Dmitri Tymoczko, Michael Scott Cuthbert:
The RomanText Format: A Flexible and Standard Method for Representing Roman Numerial Analyses. 123-129 - Lorenzo Porcaro, Emilia Gómez:
20 Years of Playlists: A Statistical Analysis on Popularity and Diversity. 130-136 - Simon Waloschek, Aristotelis Hadjakos, Alexander Pacha:
Identification and Cross-Document Alignment of Measures in Music Score Images. 137-143 - Kento Watanabe, Masataka Goto:
Query-by-Blending: A Music Exploration System Blending Latent Vector Representations of Lyric Word, Song Audio, and Artist. 144-151 - Brian McFee, Katherine M. Kinnaird:
Improving Structure Evaluation Through Automatic Hierarchy Expansion. 152-158 - Gabriel Meseguer-Brocal, Geoffroy Peeters:
Conditioned-U-Net: Introducing a Control Mechanism in the U-Net for Multiple Source Separations. 159-165 - Andreas Katsiavalos, Tom Collins, Bret Battey:
An Initial Computational Model for Musical Schemata Theory. 166-172 - Thomas Parmer, Yong-Yeol Ahn:
Evolution of the Informational Complexity of Contemporary Western Music. 175-182 - Keunwoo Choi, Kyunghyun Cho:
Deep Unsupervised Drum Transcription. 183-191 - Jon Gillick, Carmine-Emanuele Cella, David Bamman:
Estimating Unobserved Audio Features for Target-Based Orchestration. 192-199 - Jonathan Driedger, Hendrik Schreiber, W. Bas de Haas, Meinard Müller:
Towards Automatically Correcting Tapped Beat Annotations for Music Recordings. 200-207 - Berit Janssen, Tom Collins, Iris Yuping Ren:
Algorithmic Ability to Predict the Musical Future: Datasets and Evaluation. 208-215 - Stefan Balke, Matthias Dorfer, Luís Carvalho, Andreas Arzt, Gerhard Widmer:
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval. 216-222 - Thomas Nuttall, Miguel García-Casado, Víctor Núñez-Tarifa, Rafael Caro Repetto, Xavier Serra:
Contributing to New Musicological Theories with Computational Methods: The Case of Centonization in Arab-Andalusian Music. 223-228 - Quentin Lemaire, Andre Holzapfel:
Temporal Convolutional Networks for Speech and Music Detection in Radio Broadcast. 229-236 - Shreyan Chowdhury, Andreu Vall, Verena Haunschmid, Gerhard Widmer:
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features. 237-243 - Jonathan Donier:
Community-Based Cover Song Detection. 244-250 - Magdalena Fuentes, Lucas Simões Maia, Martín Rocamora, Luiz W. P. Biscainho, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello:
Tracking Beats and Microtiming in Afro-Latin American Music Using Conditional Random Fields and Deep Learning. 251-258 - Tsung-Ping Chen, Li Su:
Harmony Transformer: Incorporating Chord Segmentation into Harmony Recognition. 259-267 - Go Shibata, Ryo Nishikimi, Eita Nakamura, Kazuyoshi Yoshii:
Statistical Music Structure Analysis Based on a Homogeneity-, Repetitiveness-, and Regularity-Aware Hierarchical Hidden Semi-Markov Model. 268-275 - Christof Weiss, Sebastian J. Schlecht, Sebastian Rosenzweig, Meinard Müller:
Towards Measuring Intonation Quality of Choir Recordings: A Case Study on Bruckner's Locus Iste. 276-283 - Andrew Wiggins, Youngmoo E. Kim:
Guitar Tablature Estimation with a Convolutional Neural Network. 284-291 - Kyungyun Lee, Juhan Nam:
Learning a Joint Embedding Space of Monophonic and Mixed Music Signals for Singing Voice. 295-302 - Morteza Behrooz, Sarah Mennicken, Jennifer Thom, Rohit Kumar, Henriette Cramer:
Augmenting Music Listening Experiences on Voice Assistants. 303-310 - John Thickstun, Zaïd Harchaoui, Dean P. Foster, Sham M. Kakade:
Coupled Recurrent Models for Polyphonic Music Composition. 311-318 - Eva Zangerle, Michael Vötter, Ramona Huber, Yi-Hsuan Yang:
Hit Song Prediction: Leveraging Low- and High-Level Audio Features. 319-326 - Furkan Yesiler, Chris Tralie, Albin Andrew Correya, Diego Furtado Silva, Philip Tovstogan, Emilia Gómez, Xavier Serra:
Da-TACOS: A Dataset for Cover Song Identification and Understanding. 327-334 - Daniel Harasim, Timothy J. O'Donnell, Martin Rohrmeier:
Harmonic Syntax in Time: Rhythm Improves Grammatical Models of Harmony. 335-342 - Ashis Pati, Alexander Lerch, Gaëtan Hadjeres:
Learning to Traverse Latent Spaces for Musical Score Inpainting. 343-351 - Sebastian Rosenzweig, Frank Scherbaum, Meinard Müller:
Detecting Stable Regions in Frequency Trajectories for Tonal Analysis of Traditional Georgian Vocal Music. 352-359 - Dmitry Bogdanov, Alastair Porter, Hendrik Schreiber, Julián Urbano, Sergio Oramas:
The AcousticBrainz Genre Dataset: Multi-Source, Multi-Level, Multi-Label, and Large-Scale. 360-367 - Christos Koutlis, Manos Schinas, Vasiliki Gkatziaki, Symeon Papadopoulos, Yiannis Kompatsiaris:
Data-Driven Song Recognition Estimation Using Collective Memory Dynamics Models. 368-375 - Rainer Kelz, Gerhard Widmer:
Towards Interpretable Polyphonic Transcription with Invertible Neural Networks. 376-383 - Lucas Ferreira, Jim Whitehead:
Learning to Generate Music With Sentiment. 384-390 - Brian Bemman, David Meredith:
Backtracking Search Heuristics for Solving the All-partition Array Problem. 391-397 - Laurent Feisthauer, Louis Bigo, Mathieu Giraud:
Modeling and Learning Structural Breaks in Sonata Forms. 398-404 - Maarten Grachten, Emmanuel Deruty, Alexandre Tanguy:
Auto-adaptive Resonance Equalization using Dilated Residual Networks. 405-411 - Xiao Hu, Ying Que, Noriko Kando, Wenwei Lian:
Analyzing User Interactions with Music Information Retrieval System: An Eye-tracking Approach. 415-422 - Saebyul Park, Taegyun Kwon, Jongpil Lee, Jeounghoon Kim, Juhan Nam:
A Cross-Scape Plot Representation for Visualizing Symbolic Melodic Similarity. 423-430 - Reinier de Valk, Ryaan Ahmed, Tim Crawford:
JosquIntab: A Dataset for Content-based Computational Analysis of Music in Lute Tablature. 431-438 - Felipe Falcão, Baris Bozkurt, Xavier Serra, Nazareno Andrade, Ozan Baysal:
A Dataset of Rhythmic Pattern Reproductions and Baseline Automatic Assessment System. 439-445 - Mason Bretan, Larry P. Heck:
Self-Supervised Methods for Learning Semantic Similarity in Music. 446-453 - Adrien Ycart, Andrew McLeod, Emmanouil Benetos, Kazuyoshi Yoshii:
Blending Acoustic and Language Model Predictions for Automatic Music Transcription. 454-461 - Christoph Finkensiep, Richard Widdess, Martin Rohrmeier:
Modelling the Syntax of North Indian Melodies with a Generalized Graph Grammar. 462-469 - Adrien Ycart, Daniel Stoller, Emmanouil Benetos:
A Comparative Study of Neural Models for Polyphonic Music Sequence Transduction. 470-477 - Folgert Karsdorp, Peter van Kranenburg, Enrique Manjavacas:
Learning Similarity Metrics for Melody Retrieval. 478-485 - Sebastian Böck, Matthew E. P. Davies, Peter Knees:
Multi-Task Learning of Tempo and Beat: Learning One to Improve the Other. 486-493 - Arthur Flexer, Taric Lallai:
Can We Increase Inter- and Intra-Rater Agreement in Modeling General Music Similarity?. 494-500 - Shuhei Tsuchida, Satoru Fukayama, Masahiro Hamasaki, Masataka Goto:
AIST Dance Video Database: Multi-Genre, Multi-Dancer, and Multi-Camera Database for Dance Information Processing. 501-510 - Estefanía Cano, Scott Beveridge:
Microtiming Analysis in Traditional Shetland Fiddle Music. 511-516 - Zhengshan Shi, Craig Sapp, Kumaran Arul, Jerry McBride, Julius O. Smith III:
SUPRA: Digitizing the Stanford University Piano Roll Archive. 517-523 - Lamtharn Hantrakul, Jesse H. Engel, Adam Roberts, Chenjie Gu:
Fast and Flexible Neural Audio Synthesis. 524-530 - Sathwik Tejaswi Madhusudhan, Girish Chowdhary:
DeepSRGM - Sequence Classification and Ranking in Indian Classical Music Via Deep Learning. 533-540 - Anders Elowsson, Anders Friberg:
Modeling Music Modality with a Key-Class Invariant Pitch Chroma CNN. 541-548 - Harsh Verma, John Thickstun:
Convolutional Composer Classification. 549-556 - Emilia Parada-Cabaleiro, Anton Batliner, Björn W. Schuller:
A Diplomatic Edition of Il Lauro Secco: Ground Truth for OMR of White Mensural Notation. 557-564 - Oriol Nieto, Matthew C. McCallum, Matthew E. P. Davies, Andrew Robertson, Adam M. Stark, Eran Egozy:
The Harmonix Set: Beats, Downbeats, and Functional Segment Annotations of Western Popular Music. 565-572 - Meinard Müller, Frank Zalkow:
FMP Notebooks: Educational Material for Teaching and Learning Fundamentals of Music Processing. 573-580 - Jiawen Huang, Alexander Lerch:
Automatic Assessment of Sight-reading Exercises. 581-587 - Ondrej Cífka, Umut Simsekli, Gaël Richard:
Supervised Symbolic Music Style Translation Using Synthetic Data. 588-595 - Ruihan Yang, Dingsu Wang, Ziyu Wang, Tianyao Chen, Junyan Jiang, Gus Xia:
Deep Music Analogy Via Latent Representation Disentanglement. 596-603 - Bochen Li, Aparna Kumar:
Query by Video: Cross-modal Music Retrieval. 604-611 - Michael Taenzer, Jakob Abeßer, Stylianos I. Mimilakis, Christof Weiss, Meinard Müller:
Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings. 612-619 - Jonggwon Park, Kyoyun Choi, Sungwook Jeon, Dokyun Kim, Jonghun Park:
A Bi-Directional Transformer for Musical Chord Recognition. 620-627 - Lucas Simões Maia, Magdalena Fuentes, Luiz W. P. Biscainho, Martín Rocamora, Slim Essid:
SAMBASET: A Dataset of Historical Samba de Enredo Recordings for Computational Music Analysis. 628-635 - Hadrien Foroughmand, Geoffroy Peeters:
Deep-Rhythm for Global Tempo Estimation in Music. 636-643 - Junyan Jiang, Ke Chen, Wei Li, Gus Xia:
Large-vocabulary Chord Transcription Via Chord Structure Decomposition. 644-651 - Yichao Zhou, Wei Chu, Sam Young, Xin Chen:
BandNet: A Neural Network-based, Multi-Instrument Beatles-Style MIDI Music Composition Machine. 655-662 - Jin Ha Lee, Liz Pritchard, Chris Hubbles:
Can We Listen To It Together?: Factors Influencing Reception of Music Recommendations and Post-Recommendation Behavior . 663-669 - Jong Wook Kim, Juan Pablo Bello:
Adversarial Learning for Improved Onsets and Frames Music Transcription. 670-677 - Andre Holzapfel, Emmanouil Benetos:
Automatic Music Transcription and Ethnomusicology: a User Study. 678-684 - Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley:
LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training. 685-692 - Mark Gotham, Matthew T. Ireland:
Taking Form: A Representation Standard, Conversion Code, and Example Corpora for Recording, Visualizing, and Studying Analyses of Musical Form. 693-699 - Stefan Lattner, Monika Dörfler, Andreas Arzt:
Learning Complex Basis Functions for Invariant Representations of Audio. 700-707 - Jean-François Ducher, Philippe Esling:
Folded CQT RCNN For Real-time Recognition of Instrument Playing Techniques. 708-714 - Nathaniel Condit-Schultz, Claire Arthur:
humdrumR: a New Take on an Old Approach to Computational Musicology. 715-722 - So Yeon Park, Audrey Laplante, Jin Ha Lee, Blair Kaneshiro:
Tunes Together: Perception and Experience of Collaborative Playlists. 723-730 - Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
A Holistic Approach to Polyphonic Music Transcription with Neural Networks. 731-737 - Rachel M. Bittner, Juan J. Bosch:
Generalized Metrics for Single-f0 Estimation Evaluation. 738-745 - Yin-Jyun Luo, Kat Agres, Dorien Herremans:
Learning Disentangled Representations of Timbre and Pitch for Musical Instrument Sounds Using Gaussian Mixture Variational Autoencoders. 746-753 - Thomas Low, Christian Hentschel, Sayantan Polley, Anustup Das, Harald Sack, Andreas Nürnberger, Sebastian Stober:
The ISMIR Explorer - A Visual Interface for Exploring 20 Years of ISMIR Publications. 754-760 - Timothy de Reuse, Ichiro Fujinaga:
Pattern Clustering in Monophonic Music by Learning a Non-Linear Embedding From Human Annotations. 761-768 - Thassilo Gadermaier, Gerhard Widmer:
A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music. 769-775 - George Sioros, Guilherme Câmara, Anne Danielsen:
Mapping Timing Strategies in Drum Performance. 776-783 - Li Li, Tomoki Toda, Kazuho Morikawa, Kazuhiro Kobayashi, Shoji Makino:
Improving Singing Aid System for Laryngectomees With Statistical Voice Conversion and VAE-SPACE. 784-790 - Cheng-Zhi Anna Huang, Curtis Hawthorne, Adam Roberts, Monica Dinculescu, James Wexler, Leon Hong, Jacob Howcroft:
Approachable Music Composition with Machine Learning at Scale. 793-800 - Philippe Rigaux, Nicolas Travers:
Scalable Searching and Ranking for Melodic Pattern Queries. 801-808 - Changhong Wang, Emmanouil Benetos, Vincent Lostanlen, Elaine Chew:
Adaptive Time-Frequency Scattering for Periodic Modulation Recognition in Music Signals. 809-815 - Taketo Akama:
Controlling Symbolic Music Generation based on Concept Learning from Domain Knowledge. 816-823 - Jordan B. L. Smith, Yuta Kawasaki, Masataka Goto:
Unmixer: An Interface for Extracting and Remixing Loops. 824-831 - Flavio Figueiredo, Nazareno Andrade:
Quantifying Disruptive Influence in the AllMusic Guide. 832-838 - Elena V. Epure, Anis Khlif, Romain Hennequin:
Leveraging knowledge bases and parallel annotations for music genre translation. 839-846 - I-Chieh Wei, Chih-Wei Wu, Li Su:
Generating Structured Drum Pattern Using Variational Autoencoder and Self-similarity Matrix. 847-854 - Akira Maezawa, Kazuhiko Yamamoto, Takuya Fujishima:
Rendering Music Performance With Interpretation Variations Using Conditional Variational RNN. 855-861 - Yaolong Ju, Samuel Howes, Cory McKay, Nathaniel Condit-Schultz, Jorge Calvo-Zaragoza, Ichiro Fujinaga:
An Interactive Workflow for Generating Chord Labels for Homorhythmic Music in Symbolic Formats. 862-869 - Jeffrey Ens, Philippe Pasquier:
Quantifying Musical Style: Ranking Symbolic Music based on Similarity to a Style. 870-877 - Jie Hwan Lee, Hyeong-Seok Choi, Kyogu Lee:
Audio Query-based Music Source Separation. 878-885 - Daniel MacKinlay, Zdravko I. Botev:
Mosaic Style Transfer Using Sparse Autocorrelograms. 886-893 - Juheon Lee, Seohyun Kim, Kyogu Lee:
Automatic Choreography Generation with Convolutional Encoder-decoder Network. 894-899 - Zih-Sing Fu, Li Su:
Hierarchical Classification Networks for Singing Voice Segmentation and Transcription. 900-907 - Dasaem Jeong, Taegyun Kwon, Yoojin Kim, Kyogu Lee, Juhan Nam:
VirtuosoNet: A Hierarchical RNN-based System for Modeling Expressive Piano Performance. 908-915 - Daniel Yang, Thitaree Tanprasert, Teerapat Jenrungrot, Mengyi Shan, Timothy Tsai:
MIDI Passage Retrieval Using Cell Phone Pictures of Sheet Music. 916-923 - Federico Simonetta, Carlos Eduardo Cancino-Chacón, Stavros Ntalampiras, Gerhard Widmer:
A Convolutional Approach to Melody Line Identification in Symbolic Scores. 924-931
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