Table of Contents

• A Confidence Measure For Key LabellingRoman B. Gebhardt, Michael Stein, Athanasios Lykartsis. 3-9 [doi]
• Improved Chord Recognition by Combining Duration and Harmonic Language ModelsFilip Korzeniowski, Gerhard Widmer. 10-17 [doi]
• Using Musical Relationships Between Chord Labels in Automatic Chord Extraction TasksTristan Carsault, Jérôme Nika, Philippe Esling. 18-25 [doi]
• A Predictive Model for Music based on Learned Interval RepresentationsStefan Lattner, Maarten Grachten, Gerhard Widmer. 26-33 [doi]
• An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic ExcerptsMiguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza. 34-41 [doi]
• Evaluating Automatic Polyphonic Music TranscriptionAndrew Mcleod, Mark Steedman. 42-49 [doi]
• Onsets and Frames: Dual-Objective Piano TranscriptionCurtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse Engel, Sageev Oore, Douglas Eck. 50-57 [doi]
• Player Vs Transcriber: A Game Approach To Data Manipulation For Automatic Drum TranscriptionCarl Southall, Ryan Stables, Jason Hockman. 58-65 [doi]
• A Flexible Approach to Automated Harmonic Analysis: Multiple Annotations of Chorales by Bach and PrætoriusNathaniel Condit-Schultz, Yaolong Ju, Ichiro Fujinaga. 66-73 [doi]
• Evaluating a Collection of Sound-Tracing Data of Melodic PhrasesTejaswinee Kelkar, Udit Roy, Alexander Refsum Jensenius. 74-81 [doi]
• Main Melody Estimation with Source-Filter NMF and CRNNDogac Basaran, Slim Essid, Geoffroy Peeters. 82-89 [doi]
• Functional Harmony Recognition of Symbolic Music Data with Multi-task Recurrent Neural NetworksTsung-Ping Chen, Li Su. 90-97 [doi]
• A Single-Step Approach to Musical Tempo Estimation Using a Convolutional Neural NetworkHendrik Schreiber, Meinard Müller. 98-105 [doi]
• Analysis of Common Design Choices in Deep Learning Systems for Downbeat TrackingMagdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello. 106-112 [doi]
• Meter Detection and Alignment of MIDI PerformanceAndrew Mcleod, Mark Steedman. 113-119 [doi]
• A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano RecordingsDasaem Jeong, Taegyun Kwon, Juhan Nam. 120-127 [doi]
• Timbre Discrimination for Brief Instrument SoundsFrancesco Bigoni, Sofia Dahl. 128-134 [doi]
• Frame-level Instrument Recognition by Timbre and PitchYun-Ning Hung, Yi-Hsuan Yang. 135-142 [doi]
• Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative ModelHiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii. 145-151 [doi]
• A Generalized Parsing Framework for Generative Models of Harmonic SyntaxDaniel Harasim, Martin Rohrmeier, Timothy J. O'Donnell. 152-159 [doi]
• An Energy-based Generative Sequence Model for Testing Sensory Theories of Western HarmonyPeter M. C. Harrison, Marcus T. Pearce. 160-167 [doi]
• Automatic, Personalized, and Flexible Playlist Generation using Reinforcement LearningShun-Yao Shih, Heng-Yu Chi. 168-174 [doi]
• Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre SpacesPhilippe Esling, Axel Chemla-Romeu-Santos, Adrien Bitton. 175-181 [doi]
• Conditioning Deep Generative Raw Audio Models for Structured Automatic MusicRachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis. 182-189 [doi]
• Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music GenerationHao-Wen Dong, Yi-Hsuan Yang. 190-196 [doi]
• Cover Song Synthesis by AnalogyChristopher Tralie. 197-203 [doi]
• Part-invariant Model for Music Generation and HarmonizationYujia Yan, Ethan Lustig, Joseph VanderStel, Zhiyao Duan. 204-210 [doi]
• Evaluating Language Models of Tonal HarmonyDavid R. W. Sears, Filip Korzeniowski, Gerhard Widmer. 211-217 [doi]
• Skeleton Plays Piano: Online Generation of Pianist Body Movements from MIDI PerformanceBochen Li, Akira Maezawa, Zhiyao Duan. 218-224 [doi]
• Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-NetsJan Hajic Jr., Matthias Dorfer, Gerhard Widmer, Pavel Pecina. 225-232 [doi]
• Searching Page-Images of Early Music Scanned with OMR: A Scalable Solution Using Minimal Absent WordsTim Crawford, Golnaz Badkobeh, David Lewis 0001. 233-239 [doi]
• Optical Music Recognition in Mensural Notation with Region-based Convolutional Neural NetworksAlexander Pacha, Jorge Calvo-Zaragoza. 240-247 [doi]
• Camera-PrIMuS: Neural End-to-End Optical Music Recognition on Realistic Monophonic ScoresJorge Calvo-Zaragoza, David Rizo. 248-255 [doi]
• Document Analysis of Music Score Images with Selectional Auto-EncodersFrancisco J. Castellanos, Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga. 256-263 [doi]
• Genre-Agnostic Key Classification With Convolutional Neural NetworksFilip Korzeniowski, Gerhard Widmer. 264-270 [doi]
• Deep Watershed Detector for Music Object RecognitionLukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann. 271-278 [doi]
• Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music RepresentationsReinier de Valk, Tillman Weyde. 281-288 [doi]
• Music Source Separation Using Stacked Hourglass NetworksSungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak. 289-296 [doi]
• The Northwestern University Source Separation LibraryEthan Manilow, Prem Seetharaman, Bryan Pardo. 297-305 [doi]
• Improving Bass Saliency Estimation Using Transfer Learning and Label PropagationJakob Abeßer, Stefan Balke, Meinard Müller. 306-312 [doi]
• Improving Peak-picking Using Multiple Time-step Loss FunctionsCarl Southall, Ryan Stables, Jason Hockman. 313-320 [doi]
• Zero-Mean Convolutions for Level-Invariant Singing Voice DetectionJan Schlüter, Bernhard Lehner. 321-326 [doi]
• Music Generation and Transformation with Moment Matching-Scattering Inverse NetworksMathieu Andreux, Stéphane Mallat. 327-333 [doi]
• Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source SeparationDaniel Stoller, Sebastian Ewert, Simon Dixon. 334-340 [doi]
• SE and SNL diagrams: Flexible data structures for MIRMelissa R. McGuirl, Katherine M. Kinnaird, Claire Savard, Erin H. Bugbee. 341-347 [doi]
• JSYMBOLIC 2.2: Extracting Features from Symbolic Music for use in Musicological and MIR ResearchCory McKay, Julie Cumming, Ichiro Fujinaga. 348-354 [doi]
• Relevance of Musical Features for Cadence DetectionLouis Bigo, Laurent Feisthauer, Mathieu Giraud, Florence Levé. 355-361 [doi]
• On the Relationships between Music-induced Emotion and Physiological SignalsXiao Hu 0001, Fanjie Li, Tzi-Dong Jeremy Ng. 362-369 [doi]
• Music Mood Detection Based on Audio and Lyrics with Deep Neural NetRémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam. 370-375 [doi]
• Identifying Emotions in Opera Singing: Implications of Adverse Acoustic ConditionsEmilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Simone Hantke, Giovanni Costantini, Klaus R. Scherer, Björn W. Schuller. 376-382 [doi]
• Musical Texture and Expressivity Features for Music Emotion RecognitionRenato Panda, Ricardo Malheiro, Rui Pedro Paiva. 383-391 [doi]
• Shared Generative Representation of Auditory Concepts and EEG to Reconstruct Perceived and Imagined MusicAndré Ofner, Sebastian Stober. 392-399 [doi]
• Exploring Musical Relations Using Association Rule NetworksRenan de Padua, Veronica Oliveira de Carvalho, Solange O. Rezende, Diego Furtado Silva. 400-406 [doi]
• A Crowdsourced Experiment for Tempo Estimation of Electronic Dance MusicHendrik Schreiber, Meinard Müller. 409-415 [doi]
• Computational Corpus Analysis: A Case Study on Jazz SolosChristof Weiss, Stefan Balke, Jakob Abeßer, Meinard Müller. 416-423 [doi]
• Controlled Vocabularies for Music MetadataPasquale Lisena, Konstantin Todorov, Cécile Cecconi, Françoise Leresche, Isabelle Canno, Frédéric Puyrenier, Martine Voisin, Thierry Le Meur, Raphaël Troncy. 424-430 [doi]
• DALI: A Large Dataset of Synchronized Audio, Lyrics and notes, Automatically Created using Teacher-student Machine Learning Paradigm.Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters. 431-437 [doi]
• OpenMIC-2018: An Open Data-set for Multiple Instrument RecognitionEric Humphrey, Simon Durand, Brian McFee. 438-444 [doi]
• From Labeled to Unlabeled Data - On the Data Challenge in Automatic Drum TranscriptionChih-Wei Wu, Alexander Lerch. 445-452 [doi]
• GuitarSet: A Dataset for Guitar TranscriptionQingyang Xi, Rachel M. Bittner, Johan Pauwels, Xuzhou Ye, Juan Pablo Bello. 453-460 [doi]
• Musical-Linguistic Annotations of Il Lauro SeccoEmilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Björn W. Schuller. 461-467 [doi]
• VocalSet: A Singing Voice DatasetJulia Wilkins, Prem Seetharaman, Alison Wahl, Bryan Pardo. 468-474 [doi]
• The NES Music Database: A multi-instrumental dataset with expressive performance attributesChris Donahue, Huanru Henry Mao, Julian McAuley. 475-482 [doi]
• Audio-Aligned Jazz Harmony Dataset for Automatic Chord Transcription and Corpus-based ResearchVsevolod Eremenko, Emir Demirel, Baris Bozkurt, Xavier Serra. 483-490 [doi]
• Methodologies for Creating Symbolic Corpora of Western Music Before 1600Julie Cumming, Cory McKay, Jonathan Stuchbery, Ichiro Fujinaga. 491-498 [doi]
• Precision of Sung Notes in Carnatic MusicVenkata Subramanian Viraraghavan, Rangarajan Aravind, Hema A. Murthy. 499-505 [doi]
• Revisiting Singing Voice Detection: A quantitative review and the future outlookKyungyun Lee, Keunwoo Choi, Juhan Nam. 506-513 [doi]
• Vocals in Music Matter: the Relevance of Vocals in the Minds of ListenersAndrew Demetriou, Andreas Jansson, Aparna Kumar, Rachel M. Bittner. 514-520 [doi]
• Vocal Melody Extraction with Semantic Segmentation and Audio-symbolic Domain Transfer LearningWei Tsung Lu, Li Su. 521-528 [doi]
• Empirically Weighting the Importance of Decision Factors for Singing PreferenceMichael D. Barone, Karim M. Ibrahim, Chitralekha Gupta, Ye Wang. 529-536 [doi]
• Analysis by Classification: A Comparative Study of Annotated and Algorithmically Extracted Patterns in Symbolic Music DataIris Yuping Ren, Anja Volk, Wouter Swierstra, Remco C. Veltkamp. 539-546 [doi]
• Generalized Skipgrams for Pattern Discovery in Polyphonic StreamsChristoph Finkensiep, Markus Neuwirth, Martin Rohrmeier. 547-553 [doi]
• Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic MixturesIgor Vatolkin, Günter Rudolph. 554-560 [doi]
• Instrudive: A Music Visualization System Based on Automatically Recognized InstrumentationTakumi Takahashi, Satoru Fukayama, Masataka Goto. 561-568 [doi]
• Instrument Activity Detection in Polyphonic Music using Deep Neural NetworksSiddharth Gururani, Cameron Summers, Alexander Lerch. 569-576 [doi]
• Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer LearningJuan S. Gómez, Jakob Abeßer, Estefanía Cano. 577-584 [doi]
• Aligned Sub-Hierarchies: A Structure-based Approach to the Cover Song TaskKatherine M. Kinnaird. 585-591 [doi]
• Audio-to-Score Alignment using Transposition-invariant FeaturesAndreas Arzt, Stefan Lattner. 592-599 [doi]
• Semi-supervised Lyrics and Solo-singing AlignmentChitralekha Gupta, Rong Tong, Haizhou Li 0001, Ye Wang. 600-607 [doi]
• Concert Stitch: Organization and Synchronization of Crowd Sourced RecordingsVinod Subramanian, Alexander Lerch. 608-614 [doi]
• A Data-driven Approach to Mid-level Perceptual Musical Feature ModelingAnna Aljanaki, Mohammad Soleymani. 615-621 [doi]
• Disambiguating Music Artists at Scale with Audio Metric LearningJimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam. 622-629 [doi]
• Driftin' Down the Scale: Dynamic Time Warping in the Presence of Pitch Drift and TranspositionsSimon Waloschek, Aristotelis Hadjakos. 630-636 [doi]
• End-to-end Learning for Music Audio Tagging at ScaleJordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra. 637-644 [doi]
• Audio Based Disambiguation of Music Genre TagsRomain Hennequin, Jimena Royo-Letelier, Manuel Moussallam. 645-652 [doi]
• Learning Domain-Adaptive Latent Representations of Music Signals Using Variational AutoencodersYin-Jyun Luo, Li Su. 653-660 [doi]
• Learning Interval Representations from Polyphonic Music SequencesStefan Lattner, Maarten Grachten, Gerhard Widmer. 661-668 [doi]
• Influences on the Social Practices Surrounding Commercial Music Services: A Model for Rich InteractionsLouis Spinelli, Josephine Lau, Liz Pritchard, Jin Ha Lee. 671-677 [doi]
• Investigating Cross-Country Relationship between Users' Social Ties and Music MainstreaminessChristine Bauer 0001, Markus Schedl. 678-686 [doi]
• Listener Anonymizer: Camouflaging Play Logs to Preserve User's Demographic AnonymityKosetsu Tsukuda, Satoru Fukayama, Masataka Goto. 687-694 [doi]
• On the Impact of Music on Decision Making in Cooperative TasksElad Liebman, Corey N. White, Peter Stone. 695-701 [doi]
• VenueRank: Identifying Venues that Contribute to Artist PopularityEmmanouil Krasanakis, Emmanouil Schinas, Symeon Papadopoulos, Yiannis Kompatsiaris, Pericles A. Mitkas. 702-708 [doi]
• The Many Faces of Users: Modeling Musical PreferenceEva Zangerle, Martin Pichl. 709-716 [doi]
• Representation Learning of Music Using Artist LabelsJiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam. 717-724 [doi]
• StructureNet: Inducing Structure in Generated MelodiesGabriele Medeot, Srikanth Cherla, Katerina Kosta, Matt McVicar, Samer Abdallah, Marco Selvi, Ed Newton-Rex, Kevin Webster. 725-731 [doi]
• Summarizing and Comparing Music Data and Its Application on Cover Song IdentificationDiego Furtado Silva, Felipe Falcão, Nazareno Andrade. 732-739 [doi]
• Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive ModelWei Tsung Lu, Li Su. 740-746 [doi]
• MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style TransferGino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer. 747-754 [doi]
• Understanding a Deep Machine Listening Model Through Feature InversionSaumitra Mishra, Bob L. Sturm, Simon Dixon. 755-762 [doi]
• Comparing RNN Parameters for Melodic SimilarityTian Cheng 0001, Satoru Fukayama, Masataka Goto. 763-770 [doi]
• Visualization of Audio Data Using Stacked GraphsMathieu Lagrange, Mathias Rossignol, Grégoire Lafay. 771-776 [doi]
• Two Web Applications for Exploring Melodic Patterns in Jazz SolosKlaus Frieler, Frank Höger, Martin Pfleiderer, Simon Dixon. 777-783 [doi]
• Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning GameMatthias Dorfer, Florian Henkel, Gerhard Widmer. 784-791 [doi]
• Matrix Co-Factorization for Cold-Start RecommendationOlivier Gouvert, Thomas Oberlin, Cédric Févotte. 792-798 [doi]