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Con Espressione SIGNED

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

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EC-Contrib. €

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 Con Espressione project word cloud

Explore the words cloud of the Con Espressione project. It provides you a very rough idea of what is the project "Con Espressione" about.

musicology    measurable    essence    validation    expressivity    integrate    truly    expressive    least    computational    certain    tell    characterise    manifold    massive    playing    ennui    dynamics    computers    gaiety    act    human    responding    search    thanks    musicians    beat    rhythm    drama    founded    domain    parametric    learning    implied    identification    orchestration    relates    settings    corpora    mir    intentions    things    nuances    ai    playfulness    performance    recognise    machines    back    modify    song    theories    models    evokes    grasping    characters    explicit    solemnity    qualities    timing    made    associations    sources    size    induces    articulation    itself    quality    react    dimensions    music    structure    what    special    portrays    expresses    detection    recognising    generate    unprecedented    interact    interpretation    desired    tracking    musical    machine    traced    emotions    stirring    social    personal    model   

Project "Con Espressione" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITAT LINZ 

Organization address
address: ALTENBERGER STRASSE 69
city: LINZ
postcode: 4040
website: www.jku.at

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Austria [AT]
 Project website http://www.cp.jku.at/research/projects/ConEspressione
 Total cost 2˙318˙750 €
 EC max contribution 2˙318˙750 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-ADG
 Funding Scheme ERC-ADG
 Starting year 2016
 Duration (year-month-day) from 2016-01-01   to  2021-12-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITAT LINZ AT (LINZ) coordinator 1˙605˙375.00
2    OSTERREICHISCHE STUDIENGESELLSCHAFTFUR KYBERNETIK VEREIN AT (WIEN) participant 713˙375.00

Map

 Project objective

What makes music so important, what can make a performance so special and stirring? It is the things the music expresses, the emotions it induces, the associations it evokes, the drama and characters it portrays. The sources of this expressivity are manifold: the music itself, its structure, orchestration, personal associations, social settings, but also – and very importantly – the act of performance, the interpretation and expressive intentions made explicit by the musicians through nuances in timing, dynamics etc. Thanks to research in fields like Music Information Research (MIR), computers can do many useful things with music, from beat and rhythm detection to song identification and tracking. However, they are still far from grasping the essence of music: they cannot tell whether a performance expresses playfulness or ennui, solemnity or gaiety, determination or uncertainty; they cannot produce music with a desired expressive quality; they cannot interact with human musicians in a truly musical way, recognising and responding to the expressive intentions implied in their playing. The project is about developing machines that are aware of certain dimensions of expressivity, specifically in the domain of (classical) music, where expressivity is both essential and – at least as far as it relates to the act of performance – can be traced back to well-defined and measurable parametric dimensions (such as timing, dynamics, articulation). We will develop systems that can recognise, characterise, search music by expressive aspects, generate, modify, and react to expressive qualities in music. To do so, we will (1) bring together the fields of AI, Machine Learning, MIR and Music Performance Research; (2) integrate theories from Musicology to build more well-founded models of music understanding; (3) support model learning and validation with massive musical corpora of a size and quality unprecedented in computational music research.

 Publications

year authors and title journal last update
List of publications.
2019 Stefan Lattner
Modeling Musical Structure with Artificial Neural Networks
published pages: , ISSN: , DOI:
Ph.D. Thesis 2019-11-26
2019 Florian Henkel, Stefan Balke, Matthias Dorfer, Gerhard Widmer
Score Following as a Multi-Modal Reinforcement Learning Problem
published pages: 67-81, ISSN: 2514-3298, DOI: 10.5334/tismir.31
Transactions of the International Society for Music Information Retrieval 2/1 2019-11-25
2019 Laura Bishop, Carlos Cancino-Chacón, Werner Goebl
Moving to Communicate, Moving to Interact
published pages: 1-25, ISSN: 0730-7829, DOI: 10.1525/mp.2019.37.1.1
Music Perception: An Interdisciplinary Journal 37/1 2019-11-22
2019 Khaled Koutini, Shreyan Chowdhury, Verena Haunschmid, Hamid Eghbal-zadeh, Gerhard Widmer
Emotion and Theme Recognition in Music with Frequency-Aware RF-Regularized CNNs
published pages: , ISSN: , DOI:
Proceedings of the MediaEval 2019 Multimedia Benchmark Workshop 2019-10-31
2019 Florian Henkel, Rainer Kelz, Gerhard Widmer
Audio-Conditioned U-Net for Position Estimation in Full Sheet Images
published pages: , ISSN: , DOI:
Proceedings of the International Workshop on Reading Music Systems (WoRMS) 2019 2019-10-28
2019 Maarten Grachten, Carlos Eduardo Cancino-Chacon, Thassilo Gadermaier
partitura: A Python Package for Handling Symbolic Musical Data
published pages: , ISSN: , DOI:
Late breaking / demo papers, 20th International Society for Music Information Retrieval Conference (ISMIR 2019) 2019-10-04
2019 David Weigl, Carlos Cancino Chacón, Martin Bonev, Werner Goebl
Linking and Visualising Performance Data and Semantic Music Encodings in Real Time
published pages: , ISSN: , DOI:
Late breaking / demo papers, 20th International Society for Music Information Retrieval Conference (ISMIR 2019) 2019-09-17
2018 Andreas Arzt, Stefan Lattner
Audio-to-Score Alignment using Transposition-invariant Features
published pages: , ISSN: , DOI:
Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018) 2019-07-25
2018 Filip Korzeniowski, David Sears, Gerhard Widmer
A Large-Scale Study of Language Models for Chord Prediction
published pages: , ISSN: , DOI:
Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018) 2019-07-25
2016 Thassilo Gadermaier, Maarten Grachten, Carlos Eduardo Cancino-Chacon
Basis Function Modeling of Loudness Variations in Ensemble Performance
published pages: , ISSN: , DOI:
Proceedings of the 2nd International Conference on New Music Concepts (ICNMC 2016) 2019-07-25
2017 David Sears, Andreas Arzt, Harald Frostel, Reinhard Sonnleitner, Gerhard Widmer
Modeling Harmony with Skip-Grams
published pages: , ISSN: , DOI:
Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017) 2019-07-25
2016 Matthias Dorfer, Andreas Arzt, Sebastian Böck, Amaury Durand, Gerhard Widmer
Live Score Following on Sheet Music Images
published pages: , ISSN: , DOI:
17th International Society for Music Information Retrieval Conference (ISMIR 2016), Late Breaking/Demo Papers 2019-07-25
2018 Stefan Lattner, Maarten Grachten, Gerhard Widmer
Learning Transposition-Invariant Interval Features from Symbolic Music and Audio
published pages: , ISSN: , DOI:
Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018) 2019-07-25
2018 Matthias Dorfer, Florian Henkel, Gerhard Widmer
Learning to Listen, Read, and Follow: Score Following as a Reinforcement Learning Game
published pages: , ISSN: , DOI:
Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018) 2019-07-25
2019 Meinard Mueller, Andreas Arzt, Stefan Balke, Matthias Dorfer, Gerhard Widmer
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies
published pages: 52-62, ISSN: 1053-5888, DOI: 10.1109/msp.2018.2868887
IEEE Signal Processing Magazine 36/1 2019-07-25
2018 Stefan Lattner, Maarten Grachten, Gerhard Widmer
A Predictive Model for Music Based on Learned Relative Pitch Representations
published pages: , ISSN: , DOI:
Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018) 2019-07-25
2018 David Sears, Filip Korzeniowski, Gerhard Widmer
Evaluating Language Models of Tonal Harmony
published pages: , ISSN: , DOI:
Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018) 2019-07-25
2017 Filip Korzeniowski, Gerhard Widmer
On the Futility of Learning Complex Frame-Level Language Models for Chord Recognition
published pages: , ISSN: , DOI:
Proceedings of the 2017 AES International Conference on Semantic Audio 2019-07-25
2018 Andreu Vall, Massimo Quadrana, Markus Schedl, Gerhard Widmer
The Importance of Song Context and Song Order in Automated Music Playlist Generation
published pages: , ISSN: , DOI:
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) 2019-07-25
2016 Matthias Dorfer, Andreas Arzt, Gerhard Widmer
Towards Score Following in Sheet Music Images
published pages: , ISSN: , DOI:
Proceedings of the 17th International Society for Music Information Retrieval Conference (2016) 2019-07-25
2017 Carlos Eduardo Cancino-Chacon, Martin Bonev, Amaury Durand, Maarten Grachten, Andreas Arzt, Laura Bishop, Werner Goebl, Gerhard Widmer
The Accompanion v0.1: An Expressive Accompaniment System
published pages: , ISSN: , DOI:
Late breaking / demo papers, 18th International Society for Music Information Retrieval Conference (ISMIR 2017) 2019-07-25
2018 Filip Korzeniowski, Gerhard Widmer
Automatic Chord Recognition with Higher-Order Harmonic Language Modelling
published pages: , ISSN: , DOI:
Proceedings of the 26th European Signal Processing Conference (EUSIPCO 2018) 2019-07-25
2017 Carlos Eduardo Cancino-Chacón, Thassilo Gadermaier, Gerhard Widmer, Maarten Grachten
An evaluation of linear and non-linear models of expressive dynamics in classical piano and symphonic music
published pages: 887-909, ISSN: 0885-6125, DOI: 10.1007/s10994-017-5631-y
Machine Learning 106/6 2019-07-25
2018 Anna Aljanaki, Mohammad Soleymani
A Data-driven Approach to Mid-level Perceptual Feature Modeling
published pages: , ISSN: , DOI:
Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2018) 2019-07-25
2016 Rainer Kelz, Matthias Dorfer, Filip Korzeniowski, Sebastian Boeck, Andreas Arzt, Gerhard Widmer
On the Potential of Simple Framewise Approaches to Piano Transcription
published pages: , ISSN: , DOI:
Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016) 2019-07-25
2018 Matthias Dorfer, Jan Hajič jr., Andreas Arzt, Harald Frostel, Gerhard Widmer
Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification
published pages: 22, ISSN: 2514-3298, DOI: 10.5334/tismir.12
Transactions of the International Society for Music Information Retrieval 1/1 2019-07-25
2018 Matthias Dorfer, Jan Hajic, Gerhard Widmer
Attention as a Perspective for Learning Tempo-invariant Audio Queries
published pages: , ISSN: , DOI:
Proceedings of the Joint ICML, IJCAI/ECAI, AAMAS Workshop on Machine Learning for Music 2019-07-25
2018 Andreu Vall, Gerhard Widmer
Machine Learning Approaches to Hybrid Music Recommender Systems
published pages: , ISSN: , DOI:
Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML/PKDD 2018) 2019-07-25
2018 Anna Aljanaki, Gerhard Widmer
Modeling Majorness as a Perceptual Property of Music
published pages: , ISSN: , DOI:
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) 2019-07-25
2018 Stefan Lattner, Maarten Grachten, Gerhard Widmer
Imposing Higher-Level Structure in Polyphonic Music Generation Using Convolutional Restricted Boltzmann Machines and Constraints
published pages: , ISSN: 2399-7656, DOI:
Journal of Creative Music Systems Volume 2, Issue 2, March 2018 2019-07-25
2017 Matthias Dorfer, Andreas Arzt, Gerhard Widmer
Learning Audio - Sheet Music Correspondences for Score Identification and Offline Alignment
published pages: , ISSN: , DOI:
Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017) 2019-07-25
2017 Rainer Kelz, Gerhard Widmer
An Experimental Analysis of the Entanglement Problem in Neural-Network-based Music Transcription Systems
published pages: , ISSN: , DOI:
Proceedings of the 2017 AES International Conference on Semantic Audio 2019-07-25
2017 Carlos Eduardo Cancino-Chacon, Maarten Grachten, Kat Agres
From Bach to the Beatles: The Simulation of Human Tonal Expectation Using Ecologically-trained Predictive Models
published pages: , ISSN: , DOI:
Proceedings of the 18th International Society of Music Information Retrieval Conference (ISMIR 2017) 2019-07-25
2018 Filip Korzeniowski, Gerhard Widmer
Improved Chord Recognition by Combining Duration and Harmonic Language Models
published pages: , ISSN: , DOI:
Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018) 2019-07-25
2016 Gerhard Widmer
Getting Closer to the Essence of Music
published pages: 1-13, ISSN: 2157-6904, DOI: 10.1145/2899004
ACM Transactions on Intelligent Systems and Technology 8/2 2019-07-25
2018 Matthias Dorfer, Jan Schlüter, Andreu Vall, Filip Korzeniowski, Gerhard Widmer
End-to-end cross-modality retrieval with CCA projections and pairwise ranking loss
published pages: , ISSN: 2192-6611, DOI: 10.1007/s13735-018-0151-5
International Journal of Multimedia Information Retrieval 2019-07-25
2016 Filip Korzeniowski, Gerhard Widmer
Feature Learning for Chord Recognition: The Deep Chroma Extractor
published pages: , ISSN: , DOI:
Proceedings of the 17th International Society for Music Information Retrieval Conference (ISMIR 2016) 2019-07-25
2018 David Sears, Gerhard Widmer
Psychological Constraints on String-based Methods for Pattern Discovery in Polyphonic Corpora
published pages: , ISSN: , DOI:
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) 2019-07-25
2016 Andreas Arzt
Flexible and Robust Music Tracking
published pages: , ISSN: , DOI:
Ph.D. Thesis 2019-07-25
2018 Richard Vogl, Gerhard Widmer, Peter Knees
Towards Multi-Instrument Drum Transcription
published pages: , ISSN: , DOI:
Proceedings of the 2018 International Conference on Digital Audio Effects (DAFx 2018) 2019-07-25
2016 Matthias Dorfer, Andreas Arzt, Gerhard Widmer
Towards End-to-End Audio-Sheet-Music Retrieval
published pages: , ISSN: , DOI:
NIPS 2016 End-to-end Learning for Speech and Audio Processing Workshop 2019-07-25
2018 Carlos Eduardo Cancino-Chacon, Maarten Grachten
A Computational Study of the Role of Tonal Tension in Expressive Piano Performance
published pages: , ISSN: , DOI:
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) 2019-07-25
2018 Andreu Vall, Matthias Dorfer, Markus Schedl, Gerhard Widmer
A Hybrid Approach to Music Playlist Continuation Based on Playlist-Song Membership
published pages: , ISSN: , DOI:
Proceedings of the Symposium on Applied Computing (SAC 2018) 2019-07-25
2018 Filip Korzeniowski, Gerhard Widmer
Genre-agnostic Key Classification with Convolutional Neural Networks
published pages: , ISSN: , DOI:
Proceedings of the 19th International Society for Music Information Retrieval Conference (ISMIR 2018) 2019-07-25
2017 Carlos Eduardo Cancino-Chacon, Maarten Grachten, David Sears, and Gerhard Widmer
What were you expecting? Using Expectancy Features to Predict Expressive Performances of Classical Piano Music
published pages: , ISSN: , DOI:
Proceedings of the 10th International Workshop on Machine Learning and Music (MML 2017) 2019-07-25
2017 Hannes Schauer
Automatic Music Accompaniment via On-line Time Warping and Kalman Filters
published pages: , ISSN: , DOI:
Master\'s Thesis 2019-07-25
2017 Andreas Arzt and Matthias Dorfer
Aktuelle Entwicklungen in der automatischen Musikverfolgung
published pages: , ISSN: , DOI:
DGI Workshop: Musik trifft Informatik; 47. Jahrestagung der Gesellschaft fuer Informatik (GI) 2019-07-25
2017 Filip Korzeniowski, Gerhard Widmer
End-to-End Musical Key Estimation Using a Convolutional Neural Network
published pages: , ISSN: , DOI:
Proceedings of the 25th European Signal Processing Conference (EUSIPCO-2017) 2019-07-25
2017 Ali Nikrang, David Sears, Gerhard Widmer
Automatic Estimation of Harmonic Tension by Distributed Representation of Chords
published pages: , ISSN: , DOI:
Proceedings of the 13th International Symposium on Computer Music Multidisciplinary Research (CMMR) 2019-07-25
2018 Rainer Kelz, Gerhard Widmer
Investigating Label Noise Sensitivity of Convolutional Neural Networks for Fine-grained Audio Signal Labelling
published pages: , ISSN: , DOI:
Proceedings of the 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2018) 2019-07-25
2017 Maarten Grachten, Carlos Eduardo Cancino-Chacon, Thassilo Gadermaier, Gerhard Widmer
Toward Computer-Assisted Understanding of Dynamics in Symphonic Music
published pages: 36-46, ISSN: 1070-986X, DOI: 10.1109/MMUL.2017.4
IEEE MultiMedia 24/1 2019-07-25
2017 Andreas Arzt and Gerhard Widmer
Piece Identification in Classical Piano Music Without Reference Scores
published pages: , ISSN: , DOI:
Proceedings of the 18th International Society for Music Information Retrieval Conference (ISMIR 2017) 2019-07-25
2017 Stefan Lattner, Maarten Grachten, Gerhard Widmer
Learning Musical Relations using Gated Autoencoders
published pages: , ISSN: , DOI:
Proceedings of the 2nd Conference on Computer Simulation of Musical Creativity (CSMC 2017) 2019-07-25
2019 Zhengshan Shi, Carlos Eduardo Cancino-Chacón, Gerhard Widmer
User Curated Shaping of Expressive Performances.
published pages: , ISSN: , DOI:
ICML 2019 Workshop on Machine Learning for Music Discovery, 36th International Conference on Machine Learning (ICML 2019) 2019-08-05
2019 Stefan Balke, Matthias Dorfer, Luis Carvalho, Andreas Arzt, Gerhard Widmer
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval
published pages: , ISSN: , DOI:
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019) 2019-08-05
2019 Shreyan Chowdhury, Verena Haunschmid, Gerhard Widmer
Towards Explainable Music Emotion Recognition: The Route via Mid-level Features.
published pages: , ISSN: , DOI:
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019) 2019-08-05
2019 Federico Simonetta, Carlos Cancino-Chacon, Stavros Ntalampiras, Gerhard Widmer
A Convolutional Approach to Melody Line Identification in Symbolic Scores
published pages: , ISSN: , DOI:
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019) 2019-08-05
2019 Rainer Kelz, Gerhard Widmer
Towards Interpretable Polyphonic Transcription with Invertible Neural Networks
published pages: , ISSN: , DOI:
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019) 2019-08-05
2019 Thassilo Gadermaier, Gerhard Widmer
A Study of Annotation and Alignment Accuracy for Performance Comparison in Complex Orchestral Music
published pages: , ISSN: , DOI:
Proceedings of the 20th International Society for Music Information Retrieval Conference (ISMIR 2019) 2019-08-05
2019 Verena Haunschmid, Shreyan Chowdhury, Gerhard Widmer
Two-level Explanations in Music Emotion Recognition
published pages: , ISSN: , DOI:
ICML 2019 Workshop on Machine Learning for Music Discovery, 36th International Conference on Machine Learning (ICML 2019) 2019-07-25
2019 Andreu Vall, Matthias Dorfer, Hamid Eghbal-zadeh, Markus Schedl, Keki Burjorjee, Gerhard Widmer
Feature-combination hybrid recommender systems for automated music playlist continuation
published pages: , ISSN: 0924-1868, DOI: 10.1007/s11257-018-9215-8
User Modeling and User-Adapted Interaction 2019-07-25
2019 Silvan David Peter, Gerhard Widmer
A Sequencer with Decoupled Track Timing. (Demonstration Paper)
published pages: , ISSN: , DOI:
Proceedings of the 16th Sound & Music Computing Conference (SMC 2019) 2019-07-25
2019 Rainer Kelz, Sebastian Böck, Gerhard Widmer
Deep Polyphonic ADSR Piano Note Transcription
published pages: , ISSN: , DOI:
Proceedings of the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2019) 2019-07-25
2018 Carlos E. Cancino-Chacón, Maarten Grachten, Werner Goebl, Gerhard Widmer
Computational Models of Expressive Music Performance: A Comprehensive and Critical Review
published pages: 1-25, ISSN: 2297-2668, DOI: 10.3389/fdigh.2018.00025
Frontiers in Digital Humanities 5 2019-07-25
2018 Filip Korzeniowski
Harmonic Analysis of Musical Audio Using Deep Neural Networks
published pages: , ISSN: , DOI:
Ph.D. Thesis 2019-07-25
2018 Florian Henkel
A Regularization Study for Policy Gradient Methods
published pages: , ISSN: , DOI:
Master\'s Thesis 2019-07-25
2019 Rainer Kelz, Sebastian Böck, Gerhard Widmer
Multitask Learning for Polyphonic Piano Transcription, a Case Study
published pages: , ISSN: , DOI:
Proceedings of the First International Workshop on Multilayer Music Representation and Processing (MMRP19) 2019-07-25
2018 Carlos Eduardo Cancino-Chacon
Computational Modeling of Expressive Music Performance through Linear and Non-linear Basis Function Models
published pages: , ISSN: , DOI:
Ph.D. Thesis 2019-07-25
2018 Matthias Dorfer
Multimodal Deep Representation Learning and its Application to Audio and Sheet Music
published pages: , ISSN: , DOI:
Ph.D. Thesis 2019-07-25
2019 Laura Bishop, Carlos Cancino-Chacón, Werner Goebl
Eye gaze as a means of giving and seeking information during musical interaction
published pages: 73-96, ISSN: 1053-8100, DOI: 10.1016/j.concog.2019.01.002
Consciousness and Cognition 68 2019-07-25

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