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