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ORCID19th ISMIR 2018: Paris, France
- Emilia Gómez, Xiao Hu, Eric Humphrey, Emmanouil Benetos:
Proceedings of the 19th International Society for Music Information Retrieval Conference, ISMIR 2018, Paris, France, September 23-27, 2018. 2018, ISBN 978-2-9540351-2-3
Papers
- Roman B. Gebhardt, Michael Stein, Athanasios Lykartsis:
A Confidence Measure For Key Labelling. 3-9 - Filip Korzeniowski, Gerhard Widmer:
Improved Chord Recognition by Combining Duration and Harmonic Language Models. 10-17 - Tristan Carsault, Jérôme Nika, Philippe Esling:
Using Musical Relationships Between Chord Labels in Automatic Chord Extraction Tasks. 18-25 - Stefan Lattner, Maarten Grachten, Gerhard Widmer:
A Predictive Model for Music based on Learned Interval Representations. 26-33 - Miguel A. Román, Antonio Pertusa, Jorge Calvo-Zaragoza:
An End-to-end Framework for Audio-to-Score Music Transcription on Monophonic Excerpts. 34-41 - Andrew McLeod, Mark Steedman:
Evaluating Automatic Polyphonic Music Transcription. 42-49 - Curtis Hawthorne, Erich Elsen, Jialin Song, Adam Roberts, Ian Simon, Colin Raffel, Jesse H. Engel, Sageev Oore, Douglas Eck:
Onsets and Frames: Dual-Objective Piano Transcription. 50-57 - Carl Southall, Ryan Stables, Jason Hockman:
Player Vs Transcriber: A Game Approach To Data Manipulation For Automatic Drum Transcription. 58-65 - Nathaniel Condit-Schultz, Yaolong Ju, Ichiro Fujinaga:
A Flexible Approach to Automated Harmonic Analysis: Multiple Annotations of Chorales by Bach and Prætorius. 66-73 - Tejaswinee Kelkar, Udit Roy, Alexander Refsum Jensenius:
Evaluating a Collection of Sound-Tracing Data of Melodic Phrases. 74-81 - Dogac Basaran, Slim Essid, Geoffroy Peeters:
Main Melody Estimation with Source-Filter NMF and CRNN. 82-89 - Tsung-Ping Chen, Li Su:
Functional Harmony Recognition of Symbolic Music Data with Multi-task Recurrent Neural Networks. 90-97 - Hendrik Schreiber, Meinard Müller:
A Single-Step Approach to Musical Tempo Estimation Using a Convolutional Neural Network. 98-105 - Magdalena Fuentes, Brian McFee, Hélène C. Crayencour, Slim Essid, Juan Pablo Bello:
Analysis of Common Design Choices in Deep Learning Systems for Downbeat Tracking. 106-112 - Andrew McLeod, Mark Steedman:
Meter Detection and Alignment of MIDI Performance. 113-119 - Dasaem Jeong, Taegyun Kwon, Juhan Nam:
A Timbre-based Approach to Estimate Key Velocity from Polyphonic Piano Recordings. 120-127 - Francesco Bigoni, Sofia Dahl:
Timbre Discrimination for Brief Instrument Sounds. 128-134 - Yun-Ning Hung, Yi-Hsuan Yang:
Frame-level Instrument Recognition by Timbre and Pitch. 135-142 - Hiroaki Tsushima, Eita Nakamura, Katsutoshi Itoyama, Kazuyoshi Yoshii:
Interactive Arrangement of Chords and Melodies Based on a Tree-Structured Generative Model. 145-151 - Daniel Harasim, Martin Rohrmeier, Timothy J. O'Donnell:
A Generalized Parsing Framework for Generative Models of Harmonic Syntax. 152-159 - Peter M. C. Harrison, Marcus T. Pearce:
An Energy-based Generative Sequence Model for Testing Sensory Theories of Western Harmony. 160-167 - Shun-Yao Shih, Heng-Yu Chi:
Automatic, Personalized, and Flexible Playlist Generation using Reinforcement Learning. 168-174 - Philippe Esling, Axel Chemla-Romeu-Santos, Adrien Bitton:
Bridging Audio Analysis, Perception and Synthesis with Perceptually-regularized Variational Timbre Spaces. 175-181 - Rachel Manzelli, Vijay Thakkar, Ali Siahkamari, Brian Kulis:
Conditioning Deep Generative Raw Audio Models for Structured Automatic Music. 182-189 - Hao-Wen Dong, Yi-Hsuan Yang:
Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation. 190-196 - Christopher J. Tralie:
Cover Song Synthesis by Analogy. 197-203 - Yujia Yan, Ethan Lustig, Joseph VanderStel, Zhiyao Duan:
Part-invariant Model for Music Generation and Harmonization. 204-210 - David R. W. Sears, Filip Korzeniowski, Gerhard Widmer:
Evaluating Language Models of Tonal Harmony. 211-217 - Bochen Li, Akira Maezawa, Zhiyao Duan:
Skeleton Plays Piano: Online Generation of Pianist Body Movements from MIDI Performance. 218-224 - Jan Hajic jr., Matthias Dorfer, Gerhard Widmer, Pavel Pecina:
Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets. 225-232 - Tim Crawford, Golnaz Badkobeh, David Lewis:
Searching Page-Images of Early Music Scanned with OMR: A Scalable Solution Using Minimal Absent Words. 233-239 - Alexander Pacha, Jorge Calvo-Zaragoza:
Optical Music Recognition in Mensural Notation with Region-based Convolutional Neural Networks. 240-247 - Jorge Calvo-Zaragoza, David Rizo:
Camera-PrIMuS: Neural End-to-End Optical Music Recognition on Realistic Monophonic Scores. 248-255 - Francisco J. Castellanos, Jorge Calvo-Zaragoza, Gabriel Vigliensoni, Ichiro Fujinaga:
Document Analysis of Music Score Images with Selectional Auto-Encoders. 256-263 - Filip Korzeniowski, Gerhard Widmer:
Genre-Agnostic Key Classification With Convolutional Neural Networks. 264-270 - Lukas Tuggener, Ismail Elezi, Jürgen Schmidhuber, Thilo Stadelmann:
Deep Watershed Detector for Music Object Recognition. 271-278 - Reinier de Valk, Tillman Weyde:
Deep Neural Networks with Voice Entry Estimation Heuristics for Voice Separation in Symbolic Music Representations. 281-288 - Sungheon Park, Taehoon Kim, Kyogu Lee, Nojun Kwak:
Music Source Separation Using Stacked Hourglass Networks. 289-296 - Ethan Manilow, Prem Seetharaman, Bryan Pardo:
The Northwestern University Source Separation Library. 297-305 - Jakob Abeßer, Stefan Balke, Meinard Müller:
Improving Bass Saliency Estimation Using Transfer Learning and Label Propagation. 306-312 - Carl Southall, Ryan Stables, Jason Hockman:
Improving Peak-picking Using Multiple Time-step Loss Functions. 313-320 - Jan Schlüter, Bernhard Lehner:
Zero-Mean Convolutions for Level-Invariant Singing Voice Detection. 321-326 - Mathieu Andreux, Stéphane Mallat:
Music Generation and Transformation with Moment Matching-Scattering Inverse Networks. 327-333 - Daniel Stoller, Sebastian Ewert, Simon Dixon:
Wave-U-Net: A Multi-Scale Neural Network for End-to-End Audio Source Separation. 334-340 - Melissa R. McGuirl, Katherine M. Kinnaird, Claire Savard, Erin H. Bugbee:
SE and SNL diagrams: Flexible data structures for MIR. 341-347 - Cory McKay, Julie Cumming, Ichiro Fujinaga:
JSYMBOLIC 2.2: Extracting Features from Symbolic Music for use in Musicological and MIR Research. 348-354 - Louis Bigo, Laurent Feisthauer, Mathieu Giraud, Florence Levé:
Relevance of Musical Features for Cadence Detection. 355-361 - Xiao Hu, Fanjie Li, Tzi-Dong Jeremy Ng:
On the Relationships between Music-induced Emotion and Physiological Signals. 362-369 - Rémi Delbouys, Romain Hennequin, Francesco Piccoli, Jimena Royo-Letelier, Manuel Moussallam:
Music Mood Detection Based on Audio and Lyrics with Deep Neural Net. 370-375 - Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Simone Hantke, Giovanni Costantini, Klaus R. Scherer, Björn W. Schuller:
Identifying Emotions in Opera Singing: Implications of Adverse Acoustic Conditions. 376-382 - Renato Panda, Ricardo Malheiro, Rui Pedro Paiva:
Musical Texture and Expressivity Features for Music Emotion Recognition. 383-391 - André Ofner, Sebastian Stober:
Shared Generative Representation of Auditory Concepts and EEG to Reconstruct Perceived and Imagined Music. 392-399 - Renan de Padua, Veronica Oliveira de Carvalho, Solange O. Rezende, Diego Furtado Silva:
Exploring Musical Relations Using Association Rule Networks. 400-406 - Hendrik Schreiber, Meinard Müller:
A Crowdsourced Experiment for Tempo Estimation of Electronic Dance Music. 409-415 - Christof Weiss, Stefan Balke, Jakob Abeßer, Meinard Müller:
Computational Corpus Analysis: A Case Study on Jazz Solos. 416-423 - Pasquale Lisena, Konstantin Todorov, Cécile Cecconi, Françoise Leresche, Isabelle Canno, Frédéric Puyrenier, Martine Voisin, Thierry Le Meur, Raphaël Troncy:
Controlled Vocabularies for Music Metadata. 424-430 - Gabriel Meseguer-Brocal, Alice Cohen-Hadria, Geoffroy Peeters:
DALI: A Large Dataset of Synchronized Audio, Lyrics and notes, Automatically Created using Teacher-student Machine Learning Paradigm.. 431-437 - Eric Humphrey, Simon Durand, Brian McFee:
OpenMIC-2018: An Open Data-set for Multiple Instrument Recognition. 438-444 - Chih-Wei Wu, Alexander Lerch:
From Labeled to Unlabeled Data - On the Data Challenge in Automatic Drum Transcription. 445-452 - Qingyang Xi, Rachel M. Bittner, Johan Pauwels, Xuzhou Ye, Juan Pablo Bello:
GuitarSet: A Dataset for Guitar Transcription. 453-460 - Emilia Parada-Cabaleiro, Maximilian Schmitt, Anton Batliner, Björn W. Schuller:
Musical-Linguistic Annotations of Il Lauro Secco. 461-467 - Julia Wilkins, Prem Seetharaman, Alison Wahl, Bryan Pardo:
VocalSet: A Singing Voice Dataset. 468-474 - Chris Donahue, Huanru Henry Mao, Julian J. McAuley:
The NES Music Database: A multi-instrumental dataset with expressive performance attributes. 475-482 - Vsevolod Eremenko, Emir Demirel, Baris Bozkurt, Xavier Serra:
Audio-Aligned Jazz Harmony Dataset for Automatic Chord Transcription and Corpus-based Research. 483-490 - Julie Cumming, Cory McKay, Jonathan Stuchbery, Ichiro Fujinaga:
Methodologies for Creating Symbolic Corpora of Western Music Before 1600. 491-498 - Venkata Subramanian Viraraghavan, Rangarajan Aravind, Hema A. Murthy:
Precision of Sung Notes in Carnatic Music. 499-505 - Kyungyun Lee, Keunwoo Choi, Juhan Nam:
Revisiting Singing Voice Detection: A quantitative review and the future outlook. 506-513 - Andrew M. Demetriou, Andreas Jansson, Aparna Kumar, Rachel M. Bittner:
Vocals in Music Matter: the Relevance of Vocals in the Minds of Listeners. 514-520 - Wei Tsung Lu, Li Su:
Vocal Melody Extraction with Semantic Segmentation and Audio-symbolic Domain Transfer Learning. 521-528 - Michael D. Barone, Karim M. Ibrahim, Chitralekha Gupta, Ye Wang:
Empirically Weighting the Importance of Decision Factors for Singing Preference. 529-536 - Iris Yuping Ren, Anja Volk, Wouter Swierstra, Remco C. Veltkamp:
Analysis by Classification: A Comparative Study of Annotated and Algorithmically Extracted Patterns in Symbolic Music Data. 539-546 - Christoph Finkensiep, Markus Neuwirth, Martin Rohrmeier:
Generalized Skipgrams for Pattern Discovery in Polyphonic Streams. 547-553 - Igor Vatolkin, Günter Rudolph:
Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures. 554-560 - Takumi Takahashi, Satoru Fukayama, Masataka Goto:
Instrudive: A Music Visualization System Based on Automatically Recognized Instrumentation. 561-568 - Siddharth Gururani, Cameron Summers, Alexander Lerch:
Instrument Activity Detection in Polyphonic Music using Deep Neural Networks. 569-576 - Juan S. Gómez, Jakob Abeßer, Estefanía Cano:
Jazz Solo Instrument Classification with Convolutional Neural Networks, Source Separation, and Transfer Learning. 577-584 - Katherine M. Kinnaird:
Aligned Sub-Hierarchies: A Structure-based Approach to the Cover Song Task. 585-591 - Andreas Arzt, Stefan Lattner:
Audio-to-Score Alignment using Transposition-invariant Features. 592-599 - Chitralekha Gupta, Rong Tong, Haizhou Li, Ye Wang:
Semi-supervised Lyrics and Solo-singing Alignment. 600-607 - Vinod Subramanian, Alexander Lerch:
Concert Stitch: Organization and Synchronization of Crowd Sourced Recordings. 608-614 - Anna Aljanaki, Mohammad Soleymani:
A Data-driven Approach to Mid-level Perceptual Musical Feature Modeling. 615-621 - Jimena Royo-Letelier, Romain Hennequin, Viet-Anh Tran, Manuel Moussallam:
Disambiguating Music Artists at Scale with Audio Metric Learning. 622-629 - Simon Waloschek, Aristotelis Hadjakos:
Driftin' Down the Scale: Dynamic Time Warping in the Presence of Pitch Drift and Transpositions. 630-636 - Jordi Pons, Oriol Nieto, Matthew Prockup, Erik M. Schmidt, Andreas F. Ehmann, Xavier Serra:
End-to-end Learning for Music Audio Tagging at Scale. 637-644 - Romain Hennequin, Jimena Royo-Letelier, Manuel Moussallam:
Audio Based Disambiguation of Music Genre Tags. 645-652 - Yin-Jyun Luo, Li Su:
Learning Domain-Adaptive Latent Representations of Music Signals Using Variational Autoencoders. 653-660 - Stefan Lattner, Maarten Grachten, Gerhard Widmer:
Learning Interval Representations from Polyphonic Music Sequences. 661-668 - Louis Spinelli, Josephine Lau, Liz Pritchard, Jin Ha Lee:
Influences on the Social Practices Surrounding Commercial Music Services: A Model for Rich Interactions. 671-677 - Christine Bauer, Markus Schedl:
Investigating Cross-Country Relationship between Users' Social Ties and Music Mainstreaminess. 678-686 - Kosetsu Tsukuda, Satoru Fukayama, Masataka Goto:
Listener Anonymizer: Camouflaging Play Logs to Preserve User's Demographic Anonymity. 687-694 - Elad Liebman, Corey N. White, Peter Stone:
On the Impact of Music on Decision Making in Cooperative Tasks. 695-701 - Emmanouil Krasanakis, Emmanouil Schinas, Symeon Papadopoulos, Yiannis Kompatsiaris, Pericles A. Mitkas:
VenueRank: Identifying Venues that Contribute to Artist Popularity. 702-708 - Eva Zangerle, Martin Pichl:
The Many Faces of Users: Modeling Musical Preference. 709-716 - Jiyoung Park, Jongpil Lee, Jangyeon Park, Jung-Woo Ha, Juhan Nam:
Representation Learning of Music Using Artist Labels. 717-724 - Gabriele Medeot, Srikanth Cherla, Katerina Kosta, Matt McVicar, Samer Abdallah, Marco Selvi, Ed Newton-Rex, Kevin Webster:
StructureNet: Inducing Structure in Generated Melodies. 725-731 - Diego Furtado Silva, Felipe Falcão, Nazareno Andrade:
Summarizing and Comparing Music Data and Its Application on Cover Song Identification. 732-739 - Wei Tsung Lu, Li Su:
Transferring the Style of Homophonic Music Using Recurrent Neural Networks and Autoregressive Model. 740-746 - Gino Brunner, Andres Konrad, Yuyi Wang, Roger Wattenhofer:
MIDI-VAE: Modeling Dynamics and Instrumentation of Music with Applications to Style Transfer. 747-754 - Saumitra Mishra, Bob L. T. Sturm, Simon Dixon:
Understanding a Deep Machine Listening Model Through Feature Inversion. 755-762 - Tian Cheng, Satoru Fukayama, Masataka Goto:
Comparing RNN Parameters for Melodic Similarity. 763-770 - Mathieu Lagrange, Mathias Rossignol, Grégoire Lafay:
Visualization of Audio Data Using Stacked Graphs. 771-776 - Klaus Frieler, Frank Höger, Martin Pfleiderer, Simon Dixon:
Two Web Applications for Exploring Melodic Patterns in Jazz Solos. 777-783 - Matthias Dorfer, Florian Henkel, Gerhard Widmer:
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game. 784-791 - Olivier Gouvert, Thomas Oberlin, Cédric Févotte:
Matrix Co-Factorization for Cold-Start Recommendation. 792-798
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