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ISMIR 2019

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Papers

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