Getting at the Heart of Things: Towards Expressivity-aware Computer Systems in Music

Learning to Infer Unseen Contexts in Causal Contextual Reinforcement Learning

Auteurs: Hamid Eghbal-zadeh, Florian Henkel, Gerhard Widmer
Publié dans: Proceedings of the ICLR Workshop on Self-supervision for Reinforcement Learning (SSL-RL), 2021
Éditeur: Ninth International Conference on Learning Representations (ICLR 2021)

Towards Quantifying Differences in Expressive Piano Performances: Are Euclidean-like Distance Measures Enough?

Auteurs: Carlos Eduardo Cancino-Chacón, Silvan Peter, Emmanouil Karystinaios, Gerhard Widmer
Publié dans: 18th Rhythm Production and Perception Workshop (RPPW 2021), 2021
Éditeur: University of Oslo

On Perceived Emotion in Expressive Piano Performance: Further Experimental Evidence for the Relevance of Mid-level Perceptual Features

Auteurs: Shreyan Chowdhury, Gerhard Widmer
Publié dans: Proceedings of the 22nd International Society for Music Information Retrieval (ISMIR) Conference, 2021
Éditeur: International Society for Music Information Retrieval (ISMIR)

audioLIME: Listenable Explanations Using Source Separation

Auteurs: Verena Haunschmid, Ethan Manilow, Gerhard Widmer
Publié dans: Proceedings of the 13th International Workshop on Machine Learning and Music (MML 2020), 2020
Éditeur: ECML-PKDD 2020

Multi-modal Conditional Bounding Box Regression for Music Score Following

Auteurs: Florian Henkel, Gerhard Widmer
Publié dans: Proceedings of the 29th European Signal Processing Conference (EUSIPCO 2021), 2021
Éditeur: European Association for Signal Processing (EURASIP)

Sorting Musical Expression: Characterization of Descriptions of Expressive Piano Performances

Auteurs: Carlos Eduardo Cancino-Chacon, Silvan Peter, Shreyan Chowdhury, Anna Aljanaki, Gerhard Widmer
Publié dans: 16th International Conference on Music Perception and Cognition ICMPC 2021) and 11th Triennial Conference of ESCOM (ICMPC-ESCOM 2021), 2021
Éditeur: Society for Music Perception and Cognition (SMPC)

Investigating Label Noise Sensitivity of Convolutional Neural Networks for Fine-grained Audio Signal Labelling

Auteurs: Rainer Kelz, Gerhard Widmer
Publié dans: Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), 2018
Éditeur: IEEE

The Importance of Song Context and Song Order in Automated Music Playlist Generation

Auteurs: Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer
Publié dans: Proceedings of the 15th International Conference on Music Perception and Cognition (ICMPC 2018) & 10th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM 2018), 2018
Éditeur: Society for Music Perception and Cognition (SMPC)

Psychological Constraints on String-based Methods for Pattern Discovery in Polyphonic Corpora

Auteurs: David Sears, Gerhard Widmer
Publié dans: Proceedings of the 15th International Conference on Music Perception and Cognition (ICMPC 2018) & 10th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM 2018), 2018
Éditeur: Society for Music Perception and Cognition (SMPC)

A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership

Auteurs: Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer
Publié dans: Proceedings of the Symposium on Applied Computing (SAC 2018), 2018
Éditeur: ACM

A Large-Scale Study of Language Models for Chord Prediction

Auteurs: Filip Korzeniowski, David Sears, Gerhard Widmer
Publié dans: Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018), 2018
Éditeur: IEEE

A Computational Study of the Role of Tonal Tension in Expressive Piano Performance

Auteurs: Carlos Eduardo Cancino-Chacon, Maarten Grachten
Publié dans: Proceedings of the 15th International Conference on Music Perception and Cognition (ICMPC 2018) & 10th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM 2018), 2018
Éditeur: Society for Music Perception and Cognition (SMPC)

Modeling Majorness as a Perceptual Property of Music

Auteurs: Anna Aljanaki, Gerhard Widmer
Publié dans: Proceedings of the 15th International Conference on Music Perception and Cognition (ICMPC 2018) & 10th Triennial Conference of the European Society for the Cognitive Sciences of Music (ESCOM 2018), 2018
Éditeur: Society for Music Perception and Cognition (SMPC)

A Predictive Model for Music Based on Learned Relative Pitch Representations

Auteurs: Stefan Lattner, Maarten Grachten, Gerhard Widmer
Publié dans: Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018), 2018
Éditeur: International Society for Music Information Retrieval

Evaluating Language Models of Tonal Harmony

Auteurs: David Sears, Filip Korzeniowski, Gerhard Widmer
Publié dans: Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018), 2018
Éditeur: International Society for Music Information Retrieval

A Data-driven Approach to Mid-level Perceptual Feature Modeling

Auteurs: Anna Aljanaki, Mohammad Soleymani
Publié dans: Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018), 2018
Éditeur: International Society for Music Information Retrieval

Learning Transposition-Invariant Interval Features from Symbolic Music and Audio

Auteurs: Stefan Lattner, Maarten Grachten, Gerhard Widmer
Publié dans: Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018), 2018
Éditeur: International Society for Music Information Retrieval

Towards Multi-Instrument Drum Transcription

Auteurs: Richard Vogl, Gerhard Widmer, Peter Knees
Publié dans: Proceedings of the 2018 International Conference on Digital Audio Effects (DAFx 2018), 2018
Éditeur: Portuguese Audio Engineering Association

Genre-agnostic Key Classification with Convolutional Neural Networks

Auteurs: Filip Korzeniowski, Gerhard Widmer
Publié dans: Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), 2018
Éditeur: International Society for Music Information Retrieval

Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game

Auteurs: Matthias Dorfer, Florian Henkel, Gerhard Widmer
Publié dans: Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018), 2018
Éditeur: International Society for Music Information Retrieval

Audio-to-Score Alignment using Transposition-invariant Features

Auteurs: Andreas Arzt, Stefan Lattner
Publié dans: Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018), 2018
Éditeur: International Society for Music Information Retrieval

Automatic Chord Recognition with Higher-Order Harmonic Language Modelling

Auteurs: Filip Korzeniowski, Gerhard Widmer
Publié dans: Proceedings of the 26th European Signal Processing Conference (EUSIPCO 2018), 2018
Éditeur: European Association for Signal Processing (EURASIP)

Improved Chord Recognition by Combining Duration and Harmonic Language Models

Auteurs: Filip Korzeniowski, Gerhard Widmer
Publié dans: Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018), 2018
Éditeur: International Society for Music Information Retrieval

Machine Learning Approaches to Hybrid Music Recommender Systems

Auteurs: Andreu Vall, Gerhard Widmer
Publié dans: Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2018), 2018
Éditeur: Springer Verlag

Attention as a Perspective for Learning Tempo-invariant Audio Queries

Auteurs: Matthias Dorfer, Jan Hajic, Gerhard Widmer
Publié dans: Proceedings of the Joint ICML, IJCAI/ECAI, AAMAS Workshop on Machine Learning for Music, 2018
Éditeur: The International Machine Learning Society (ICML)

Feature Learning for Chord Recognition: The Deep Chroma Extractor

Auteurs: Filip Korzeniowski, Gerhard Widmer
Publié dans: Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016), 2016
Éditeur: International Society for Music Information Retrieval

Live Score Following on Sheet Music Images

Auteurs: Matthias Dorfer, Andreas Arzt, Sebastian Böck, Amaury Durand, Gerhard Widmer
Publié dans: 17th International Society for Music Information Retrieval Conference (ISMIR 2016), Late Breaking/Demo Papers, 2016
Éditeur: International Society for Music Information Retrieval

Towards Score Following in Sheet Music Images

Auteurs: Matthias Dorfer, Andreas Arzt, Gerhard Widmer
Publié dans: Proceedings of the 17th International Society for Music Information Retrieval Conference (2016), 2016
Éditeur: International Society for Music Information Retrieval

Towards End-to-End Audio-Sheet-Music Retrieval

Auteurs: Matthias Dorfer, Andreas Arzt, Gerhard Widmer
Publié dans: NIPS 2016 End-to-end Learning for Speech and Audio Processing Workshop, 2016
Éditeur: Neural Information Processing Systems Foundation

On the Potential of Simple Framewise Approaches to Piano Transcription

Auteurs: Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Boeck, Andreas Arzt, Gerhard Widmer
Publié dans: Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016), 2016
Éditeur: International Society for Music Information Retrieval

A fully convolutional deep auditory model for musical chord recognition

Auteurs: Filip Korzeniowski, Gerhard Widmer
Publié dans: 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP), 2016, Page(s) 1-6, ISBN 978-1-5090-0746-2
Éditeur: IEEE
DOI: 10.1109/MLSP.2016.7738895

Multitask Learning for Polyphonic Piano Transcription, a Case Study

Auteurs: Rainer Kelz, Sebastian Böck, Gerhard Widmer
Publié dans: Proceedings of the First International Workshop on Multilayer Music Representation and Processing (MMRP19), 2019
Éditeur: IEEE

Deep Polyphonic ADSR Piano Note Transcription

Auteurs: Rainer Kelz, Sebastian Böck, Gerhard Widmer
Publié dans: Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019), 2019
Éditeur: IEEE

A Sequencer with Decoupled Track Timing. (Demonstration Paper)

Auteurs: Silvan David Peter, Gerhard Widmer
Publié dans: Proceedings of the 16th Sound & Music Computing Conference (SMC 2019), 2019
Éditeur: SMC

Two-level Explanations in Music Emotion Recognition

Auteurs: Verena Haunschmid, Shreyan Chowdhury, Gerhard Widmer
Publié dans: ICML 2019 Workshop on Machine Learning for Music Discovery, 36th International Conference on Machine Learning (ICML 2019), 2019
Éditeur: PMLR

User Curated Shaping of Expressive Performances.

Auteurs: Zhengshan Shi, Carlos Eduardo Cancino-Chacón, Gerhard Widmer
Publié dans: ICML 2019 Workshop on Machine Learning for Music Discovery, 36th International Conference on Machine Learning (ICML 2019), 2019
Éditeur: PMLR

Towards Interpretable Polyphonic Transcription with Invertible Neural Networks

Auteurs: Rainer Kelz, Gerhard Widmer
Publié dans: Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), 2019
Éditeur: International Society for Music Information Retrieval

Towards Explainable Music Emotion Recognition: The Route via Mid-level Features.

Auteurs: Shreyan Chowdhury, Verena Haunschmid, Gerhard Widmer
Publié dans: Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), 2019
Éditeur: International Society for Music Information Retrieval

A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music

Auteurs: Thassilo Gadermaier, Gerhard Widmer
Publié dans: Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), 2019
Éditeur: International Society for Music Information Retrieval

Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval

Auteurs: Stefan Balke, Matthias Dorfer, Luis Carvalho, Andreas Arzt, Gerhard Widmer
Publié dans: Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), 2019
Éditeur: International Society for Music Information Retrieval

A Convolutional Approach to Melody Line Identification in Symbolic Scores

Auteurs: Federico Simonetta, Carlos Cancino-Chacon, Stavros Ntalampiras, Gerhard Widmer
Publié dans: Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019), 2019
Éditeur: International Society for Music Information

Linking and Visualising Performance Data and Semantic Music Encodings in Real Time

Auteurs: David Weigl, Carlos Cancino Chacón, Martin Bonev, Werner Goebl
Publié dans: Late breaking / demo papers, 20th International Society for Music Information Retrieval Conference (ISMIR 2019), 2019
Éditeur: International Society for Music Information Retrieval

partitura: A Python Package for Handling Symbolic Musical Data

Auteurs: Maarten Grachten, Carlos Eduardo Cancino-Chacon, Thassilo Gadermaier
Publié dans: Late breaking / demo papers, 20th International Society for Music Information Retrieval Conference (ISMIR 2019), 2019
Éditeur: International Society for Music Information Retrieval

Audio-Conditioned U-Net for Position Estimation in Full Sheet Images

Auteurs: Florian Henkel, Rainer Kelz, Gerhard Widmer
Publié dans: Proceedings of the International Workshop on Reading Music Systems (WoRMS) 2019, 2019
Éditeur: International Society for Music Information Retrieval

Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs

Auteurs: Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-zadeh, Gerhard Widmer
Publié dans: Proceedings of the MediaEval 2019 Multimedia Benchmark Workshop, 2019
Éditeur: MediaEval Benchmarking Initiative for Multimedia Evaluation

Basis Function Modeling of Loudness Variations in Ensemble Performance

Auteurs: Thassilo Gadermaier, Maarten Grachten, Carlos Eduardo Cancino-Chacon
Publié dans: Proceedings of the 2nd International Conference on New Music Concepts (ICNMC 2016), 2016
Éditeur: "Accademia Musicale ""Studio Musica"""

Real-time Visualization of Fugue Played by a String Quartet

Auteurs: Olivier Lartillot, Carlos Eduardo Cancino-Chacon, Charles Brazier
Publié dans: Proceedings of the 17th Sound and Music Computing Conference (SMC 2020), 2020
Éditeur: Sound and Music Computing (SMC) Network

On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition

Auteurs: Filip Korzeniowski, Gerhard Widmer
Publié dans: Proceedings of the 2017 AES International Conference on Semantic Audio, 2017
Éditeur: Audio Engineering Society

An Experimental Analysis of the Entanglement Problem in Neural-Network-based Music Transcription Systems

Auteurs: Rainer Kelz, Gerhard Widmer
Publié dans: Proceedings of the 2017 AES International Conference on Semantic Audio, 2017
Éditeur: Audio Engineering Society

End-to-End Musical Key Estimation Using a Convolutional Neural Network

Auteurs: Filip Korzeniowski, Gerhard Widmer
Publié dans: Proceedings of the 25th European Signal Processing Conference (EUSIPCO-2017), 2017
Éditeur: IEEE

Modeling Harmony with Skip-Grams

Auteurs: David Sears, Andreas Arzt, Harald Frostel, Reinhard Sonnleitner, Gerhard Widmer
Publié dans: Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), 2017
Éditeur: International Society for Music Information Retrieval

From Bach to the Beatles: The Simulation of Human Tonal Expectation Using Ecologically-trained Predictive Models

Auteurs: Carlos Eduardo Cancino-Chacon, Maarten Grachten, Kat Agres
Publié dans: Proceedings of the 18th International Society of Music Information Retrieval Conference (ISMIR 2017), 2017
Éditeur: International Society of Music Information Retrieval

Automatic Estimation of Harmonic Tension by Distributed Representation of Chords

Auteurs: Ali Nikrang, David Sears, Gerhard Widmer
Publié dans: Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR), 2017
Éditeur: INESC-TEC

Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment

Auteurs: Matthias Dorfer, Andreas Arzt, Gerhard Widmer
Publié dans: Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), 2017
Éditeur: International Society for Music Information Retrieval

Aktuelle Entwicklungen in der automatischen Musikverfolgung

Auteurs: Andreas Arzt and Matthias Dorfer
Publié dans: DGI Workshop: Musik trifft Informatik; 47. Jahrestagung der Gesellschaft fuer Informatik (GI), 2017
Éditeur: DGI

Piece Identification in Classical Piano Music Without Reference Scores

Auteurs: Andreas Arzt and Gerhard Widmer
Publié dans: Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017), 2017
Éditeur: International Society for Music Information Retrieval

Learning Musical Relations using Gated Autoencoders

Auteurs: Stefan Lattner, Maarten Grachten, Gerhard Widmer
Publié dans: Proceedings of the 2nd Conference on Computer Simulation of Musical Creativity (CSMC 2017), 2017
Éditeur: The Open University

What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music

Auteurs: Carlos Eduardo Cancino-Chacon, Maarten Grachten, David Sears, and Gerhard Widmer
Publié dans: Proceedings of the 10th International Workshop on Machine Learning and Music (MML 2017), 2017
Éditeur: UPF

Learning to Read and Follow Music in Complete Score Sheet Images

Auteurs: Florian Henkel, Rainer Kelz, Gerhard Widmer
Publié dans: Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), 2020
Éditeur: International Society for Music Information Retrieval

Tracing Back Music Emotion Predictions to Sound Sources and Intuitive Perceptual Qualities

Auteurs: Shreyan Chowdhury, Verena Praher, Gerhard Widmer
Publié dans: Proceedings of the 18th Sound and Music Computing Conference (SMC2021), 2021
Éditeur: SMCNetwork

Towards Explaining Expressive Qualities in Piano Recordings: Transfer of Explanatory Features via Acoustic Domain Adaptation

Auteurs: Shreyan Chowdhury, Gerhard Widmer
Publié dans: Proceedings of the 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2021), 2021
Éditeur: IEEE

On the Characterization of Expressive Performance in Classical Music: First Results of the Con Espressione Game

Auteurs: Carlos Eduardo Cancino-Chacon, Anna Aljanaki, Shreyan Chowdhury, Silvan Peter, Gerhard Widmer
Publié dans: Proceedings of the 21st International Society for Music Information Retrieval Conference (ISMIR 2020), 2020
Éditeur: International Society for Music Information Retrieval

Beyond Synchronization: Body Gestures and Gaze Direction in Duo Performance

Auteurs: Laura Bishop, Carlos Eduardo Cancino-Chacon, Werner Goebl
Publié dans: Together in Music: Participation, Co-Ordination, and Creativity in Ensembles, 2021
Éditeur: Oxford University Press

End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss

Auteurs: Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer
Publié dans: International Journal of Multimedia Information Retrieval, 2018, ISSN 2192-6611
Éditeur: Springer
DOI: 10.1007/s13735-018-0151-5

Imposing Higher-Level Structure in Polyphonic Music Generation Using Convolutional Restricted Boltzmann Machines and Constraints

Auteurs: Stefan Lattner, Maarten Grachten, Gerhard Widmer
Publié dans: Journal of Creative Music Systems, Numéro Volume 2, Numéro 2, March 2018, 2018, ISSN 2399-7656
Éditeur: University of Huddersfield Press

Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

Auteurs: Matthias Dorfer, Jan Hajič jr., Andreas Arzt, Harald Frostel, Gerhard Widmer
Publié dans: Transactions of the International Society for Music Information Retrieval, Numéro 1/1, 2018, Page(s) 22, ISSN 2514-3298
Éditeur: Ubiquity Press
DOI: 10.5334/tismir.12

Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies

Auteurs: Meinard Mueller, Andreas Arzt, Stefan Balke, Matthias Dorfer, Gerhard Widmer
Publié dans: IEEE Signal Processing Magazine, Numéro 36/1, 2019, Page(s) 52-62, ISSN 1053-5888
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/msp.2018.2868887

Computational Models of Expressive Music Performance: A Comprehensive and Critical Review

Auteurs: Carlos E. Cancino-Chacón, Maarten Grachten, Werner Goebl, Gerhard Widmer
Publié dans: Frontiers in Digital Humanities, Numéro 5, 2018, Page(s) 1-25, ISSN 2297-2668
Éditeur: Frontiers Media
DOI: 10.3389/fdigh.2018.00025

Getting Closer to the Essence of Music

Auteurs: Gerhard Widmer
Publié dans: ACM Transactions on Intelligent Systems and Technology, Numéro 8/2, 2016, Page(s) 1-13, ISSN 2157-6904
Éditeur: Association for Computing Machinery (ACM)
DOI: 10.1145/2899004

Toward Computer-Assisted Understanding of Dynamics in Symphonic Music

Auteurs: Maarten Grachten, Carlos Eduardo Cancino-Chacon, Thassilo Gadermaier, Gerhard Widmer
Publié dans: IEEE MultiMedia, Numéro 24/1, 2017, Page(s) 36-46, ISSN 1070-986X
Éditeur: Institute of Electrical and Electronics Engineers
DOI: 10.1109/MMUL.2017.4

Eye gaze as a means of giving and seeking information during musical interaction

Auteurs: Laura Bishop, Carlos Cancino-Chacón, Werner Goebl
Publié dans: Consciousness and Cognition, Numéro 68, 2019, Page(s) 73-96, ISSN 1053-8100
Éditeur: Academic Press
DOI: 10.1016/j.concog.2019.01.002

Feature-combination hybrid recommender systems for automated music playlist continuation

Auteurs: Andreu Vall, Matthias Dorfer, Hamid Eghbal-zadeh, Markus Schedl, Keki Burjorjee, Gerhard Widmer
Publié dans: User Modeling and User-Adapted Interaction, 2019, ISSN 0924-1868
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s11257-018-9215-8

Moving to Communicate, Moving to Interact

Auteurs: Laura Bishop, Carlos Cancino-Chacón, Werner Goebl
Publié dans: Music Perception: An Interdisciplinary Journal, Numéro 37/1, 2019, Page(s) 1-25, ISSN 0730-7829
Éditeur: University of California at Berkeley
DOI: 10.1525/mp.2019.37.1.1

Score Following as a Multi-Modal Reinforcement Learning Problem

Auteurs: Florian Henkel, Stefan Balke, Matthias Dorfer, Gerhard Widmer
Publié dans: Transactions of the International Society for Music Information Retrieval, Numéro 2/1, 2019, Page(s) 67-81, ISSN 2514-3298
Éditeur: Ubiquity Press
DOI: 10.5334/tismir.31

Beneath (or Beyond) the Surface: Discovering Voice-leading Patterns with Skip-grams

Auteurs: David Sears, Gerhard Widmer
Publié dans: Journal of Mathematics and Music, 2020, ISSN 1745-9737
Éditeur: Taylor and Francis Ltd.

An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music

Auteurs: Carlos Eduardo Cancino-Chacón, Thassilo Gadermaier, Gerhard Widmer, Maarten Grachten
Publié dans: Machine Learning, Numéro 106/6, 2017, Page(s) 887-909, ISSN 0885-6125
Éditeur: Kluwer Academic Publishers
DOI: 10.1007/s10994-017-5631-y

Real-Time Music Following in Score Sheet Images via Multi-Resolution Prediction

Auteurs: Florian Henkel and Gerhard Widmer
Publié dans: Frontiers in Computer Science, Numéro 3:718340, 2021, ISSN 2624-9898
Éditeur: Frontiers Media
DOI: 10.3389/fcomp.2021.718340

The Accompanion v0.1: An Expressive Accompaniment System

Auteurs: Carlos Eduardo Cancino-Chacon, Martin Bonev, Amaury Durand, Maarten Grachten, Andreas Arzt, Laura Bishop, Werner Goebl, Gerhard Widmer
Publié dans: Late breaking / demo papers, 18th International Society for Music Information Retrieval Conference (ISMIR 2017), 2017
Éditeur: International Society for Music Information Retrieval

Harmonic Analysis of Musical Audio Using Deep Neural Networks

Auteurs: Filip Korzeniowski
Publié dans: Ph.D. Thesis, 2018
Éditeur: Johannes Kepler University (JKU)

A Regularization Study for Policy Gradient Methods

Auteurs: Florian Henkel
Publié dans: Master's Thesis, 2018
Éditeur: Johannes Kepler University (JKU)

Flexible and Robust Music Tracking

Auteurs: Andreas Arzt
Publié dans: Ph.D. Thesis, 2016
Éditeur: Johannes Kepler University Linz (JKU)

Computational Modeling of Expressive Music Performance through Linear and Non-linear Basis Function Models

Auteurs: Carlos Eduardo Cancino-Chacon
Publié dans: Ph.D. Thesis, 2018
Éditeur: Johannes Kepler University (JKU) Linz

Multimodal Deep Representation Learning and its Application to Audio and Sheet Music

Auteurs: Matthias Dorfer
Publié dans: Ph.D. Thesis, 2018
Éditeur: Johannes Kepler University (JKU) Linz

Modeling Musical Structure with Artificial Neural Networks

Auteurs: Stefan Lattner
Publié dans: Ph.D. Thesis, 2019
Éditeur: Institute of Computational Perception, Johannes Kepler University (JKU)

Automatic Music Accompaniment via On-line Time Warping and Kalman Filters

Auteurs: Hannes Schauer
Publié dans: Master's Thesis, 2017
Éditeur: Johannes Kepler University Linz (JKU)

Machine Learning Approaches to Hybrid Music Recommender Systems

Auteurs: Andreu Vall
Publié dans: Ph.D. Thesis, 2019
Éditeur: Johannes Kepler University

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