Gerhard Widmer

Gerhard Widmer, Sebastian Böck, Rainer Kelz, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A Predictive Model for Music based on Learned Interval Representations

Gerhard Widmer, Maarten Grachten, Stefan Lattner, 2018, ISMIR.

Searching for Music Using Natural Language Queries and Relevance Feedback

Peter Knees, Gerhard Widmer, G. Widmer, 2007, Adaptive Multimedia Retrieval.

Expressive Performance Rendering with Probabilistic Models

Gerhard Widmer, Maarten Grachten, Sebastian Flossmann, 2013, Guide to Computing for Expressive Music Performance.

Quad-Based Audio Fingerprinting Robust to Time and Frequency Scaling

Gerhard Widmer, Reinhard Sonnleitner, G. Widmer, 2014, DAFx.

Combining AI Techniques to Perform Expressive Music by Imitation

Gerhard Widmer, William Birmingham, Ramon López de Mántaras, 2000 .

Investigating Web-Based Approaches to Revealing Prototypical Music Artists in Genre Taxonomies

Peter Knees, Markus Schedl, Gerhard Widmer, 2007, 2006 1st International Conference on Digital Information Management.

Towards Effective 'Any-Time' Music Tracking

Gerhard Widmer, Andreas Arzt, G. Widmer, 2010, STAIRS.

Robust Quad-Based Audio Fingerprinting

Gerhard Widmer, Reinhard Sonnleitner, G. Widmer, 2016, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Supervised and Unsupervised Web Document Filtering Techniques to Improve Text-Based Music Retrieval

Peter Knees, Tim Pohle, Markus Schedl, 2010, ISMIR.

Real-Time Music Tracking Using Multiple Performances as a Reference

Gerhard Widmer, Andreas Arzt, G. Widmer, 2015, ISMIR.

A Review of Automatic Drum Transcription

Gerhard Widmer, Meinard Müller, Christian Dittmar, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Using Mutual Proximity to Improve Content-Based Audio Similarity

Markus Schedl, Gerhard Widmer, Arthur Flexer, 2011, ISMIR.

Learning Musical Relations using Gated Autoencoders pdf

Gerhard Widmer, Maarten Grachten, Stefan Lattner, 2017, ArXiv.

Classification of dance music by periodicity patterns

Gerhard Widmer, Elias Pampalk, Simon Dixon, 2003, ISMIR.

Applications of Machine Learning to Music Research: Empirical Investigations into the Phenomenon of

Gerhard Widmer, G. Widmer, 1997 .

Meaningfully Browsing Music Services

Peter Knees, Tim Pohle, Markus Schedl, 2007, ISMIR.

Using string kernels to identify famous performers from their playing style

John Shawe-Taylor, Gerhard Widmer, Craig Saunders, 2004, Intell. Data Anal..

Gerhard Widmer, Søren Tjagvad Madsen, 2005, FLAIRS Conference.

Mixture Density Generative Adversarial Networks

Gerhard Widmer, Hamid Eghbal-zadeh, Werner Zellinger, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

THE MAGALOFF CORPUS: AN EMPIRICAL ERROR STUDY

Gerhard Widmer, Sebastian Flossmann, Werner Goebl, 2010 .

Imposing higher-level Structure in Polyphonic Music Generation using Convolutional Restricted Boltzmann Machines and Constraints pdf

Gerhard Widmer, Maarten Grachten, Stefan Lattner, 2016, ArXiv.

Relational IBL in classical music

Gerhard Widmer, Asmir Tobudic, G. Widmer, 2006, Machine Learning.

In Search of the Horowitz Factor

Gerhard Widmer, Elias Pampalk, Simon Dixon, 2003, AI Mag..

The Magaloff Project: An Interim Report

Gerhard Widmer, Maarten Grachten, Sebastian Flossmann, 2010 .

Investigations of Between-Hand Synchronization in Magaloff's Chopin

Gerhard Widmer, Sebastian Flossmann, Werner Goebl, 2010, Computer Music Journal.

Recognition and Exploitation of Contextual CLues via Incremental Meta-Learning

Gerhard Widmer, G. Widmer, 1996, ICML.

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

Gerhard Widmer, Rainer Kelz, G. Widmer, 2017, Semantic Audio.

Bridging the Audio-Symbolic Gap: The Discovery of Repeated Note Content Directly from Polyphonic Music Audio

Florian Krebs, Gerhard Widmer, Sebastian Böck, 2014, Semantic Audio.

Combining audio-based similarity with web-based data to accelerate automatic music playlist generation

Peter Knees, Tim Pohle, Markus Schedl, 2006, MIR '06.

The Importance of Song Context in Music Playlists

Markus Schedl, Gerhard Widmer, Paolo Cremonesi, 2017, RecSys Posters.

Combining Knowledge-Based and Instance-Based Learning to Exploit Qualitative Knowledge

Gerhard Widmer, 1993, Informatica.

On Data Augmentation and Adversarial Risk: An Empirical Analysis pdf

Gerhard Widmer, Khaled Koutini, Verena Haunschmid, 2020, ArXiv.

Wissensbasiertes Lernen in der Musik: Die Integration induktiver und deduktiver Lernmethoden

Gerhard Widmer, G. Widmer, 1989, ÖGAI.

Novelty Detection Based on Spectral Similarity of Songs

Gerhard Widmer, Elias Pampalk, Arthur Flexer, 2005, ISMIR.

NOVELTY DETECTION FOR SPECTRAL SIMILARITY OF SONGS

Gerhard Widmer, Elias Pampalk, Arthur Flexer, 2005 .

A music information system automatically generated via Web content mining techniques

Peter Knees, Tim Pohle, Markus Schedl, 2011, Inf. Process. Manag..

Order, context and popularity bias in next-song recommendations

Markus Schedl, Gerhard Widmer, Massimo Quadrana, 2019, International Journal of Multimedia Information Retrieval.

A Comparison of Human, Automatic and Collaborative Music Genre Classification and User Centric Evaluation of Genre Classification Systems

Peter Knees, Gerhard Widmer, Klaus Seyerlehner, 2010, Adaptive Multimedia Retrieval.

Exploring Music Collections in Virtual Landscapes

Peter Knees, Tim Pohle, Markus Schedl, 2007, IEEE MultiMedia.

Segmenting the Banking Market Strategy by Clustering

Li Xiu, E. W. T. Ngai, Markus Schedl, 2012 .

Learning expressive performance: The structure‐level approach

Gerhard Widmer, G. Widmer, 1996 .

Relative Unsupervised Discretization for Association Rule Mining

Gerhard Widmer, Marcus-Christopher Ludl, 2000, PKDD.

Towards a Computational Model of Melody Identification in Polyphonic Music

Gerhard Widmer, Søren Tjagvad Madsen, G. Widmer, 2007, IJCAI.

The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery

Gerhard Widmer, G. Widmer, 2001, PKDD.

Exploring Pianist Performance Styles with Evolutionary String Matching

Gerhard Widmer, Søren Tjagvad Madsen, G. Widmer, 2006, Int. J. Artif. Intell. Tools.

Roadmap for Music Information ReSearch

Xavier Serra, Gerhard Widmer, Arthur Flexer, 2013 .

Multiple Lyrics Alignment: Automatic Retrieval of Song Lyrics

Peter Knees, Markus Schedl, Gerhard Widmer, 2005, ISMIR.

Sound/tracks: real-time synaesthetic sonification and visualisation of passing landscapes

Peter Knees, Tim Pohle, Gerhard Widmer, 2008, ACM Multimedia.

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

Gerhard Widmer, Carlos Eduardo Cancino Chacón, Maarten Grachten, 2018, Front. Digit. Humanit..

audioLIME: Listenable Explanations Using Source Separation pdf

Gerhard Widmer, Ethan Manilow, Verena Haunschmid, 2020, ArXiv.

Proceedings of the Diderot'99 Forum on Mathematics and Music

Gerhard Widmer, Alan Smaill, Emilios Cambouropoulos, 1999 .

Exploring Music Collections by Browsing Different Views

Gerhard Widmer, Elias Pampalk, Simon Dixon, 2004, Computer Music Journal.

Browsing Music Recommendation Networks

Peter Knees, Gerhard Widmer, Klaus Seyerlehner, 2009, ISMIR.

Automatic Recognition of Famous Artists by Machine

Gerhard Widmer, Patrick Zanon, G. Widmer, 2004, ECAI.

Classical Music on the Web - User Interfaces and Data Representations

Gerhard Widmer, Maarten Grachten, Andreas Arzt, 2015, ISMIR.

The ACCompanion v0.1: An Expressive Accompaniment System pdf

Martin Bonev, Gerhard Widmer, Maarten Grachten, 2017, ArXiv.

Towards Light-Weight, Real-Time-Capable Singing Voice Detection

Gerhard Widmer, Bernhard Lehner, Reinhard Sonnleitner, 2013, ISMIR.

On Rhythm and General Music Similarity

Peter Knees, Tim Pohle, Markus Schedl, 2009, ISMIR.

End-to-end musical key estimation using a convolutional neural network

Gerhard Widmer, Filip Korzeniowski, G. Widmer, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

Evaluating Language Models of Tonal Harmony

Gerhard Widmer, Filip Korzeniowski, David R. W. Sears, 2018, ISMIR.

Receptive-field-regularized CNN variants for acoustic scene classification pdf

Gerhard Widmer, Khaled Koutini, Hamid Eghbal-zadeh, 2019, DCASE.

Dealing with Music in Intelligent Ways

Gerhard Widmer, 2009, ISMIS.

Getting Closer to the Essence of Music

Gerhard Widmer, G. Widmer, 2016, ACM Trans. Intell. Syst. Technol..

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

Gerhard Widmer, Andreas Arzt, Stefan Balke, 2019, ISMIR.

On the Importance of "Real" Audio Data for MIR Algorithm Evaluation at the Note-Level - A Comparative Study

Gerhard Widmer, Sebastian Böck, Bernhard Niedermayer, 2011, ISMIR.

Unsupervised learning and refinement of rhythmic patterns for beat and downbeat tracking

Florian Krebs, Gerhard Widmer, Maarten Grachten, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Addressing the Recitative Problem in Real-time Opera Tracking pdf

Gerhard Widmer, Charles Brazier, G. Widmer, 2020, ArXiv.

Multitask Learning for Polyphonic Piano Transcription, a Case Study

Gerhard Widmer, Sebastian Böck, Rainer Kelz, 2019, 2019 International Workshop on Multilayer Music Representation and Processing (MMRP).

Towards Automatic Retrieval of Album Covers

Peter Knees, Tim Pohle, Markus Schedl, 2006, ECIR.

Key-Finding with Interval Profiles

Gerhard Widmer, Søren Tjagvad Madsen, 2007, ICMC.

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

Gerhard Widmer, Andreas Arzt, Matthias Dorfer, 2017, ISMIR.

Automatic Page Turning for Musicians via Real-Time Machine Listening

Gerhard Widmer, Simon Dixon, Andreas Arzt, 2008, ECAI.

AUTOMATIC MUSIC DETECTION IN TELEVISION PRODUCTIONS

Tim Pohle, Markus Schedl, Gerhard Widmer, 2007 .

A Tight Integration of Deductive Learning

Gerhard Widmer, G. Widmer, 1989, ML Workshop.

MATCH: A Music Alignment Tool Chest

Gerhard Widmer, Simon Dixon, G. Widmer, 2005, ISMIR.

Landmark-Based Audio Fingerprinting for DJ Mix Monitoring

Gerhard Widmer, Andreas Arzt, Reinhard Sonnleitner, 2016, ISMIR.

Assigning and Visualizing Music Genres by Web-based Co-Occurrence Analysis

Peter Knees, Tim Pohle, Markus Schedl, 2006, ISMIR.

Three web-based heuristics to determine a person's or institution's country of origin

Markus Schedl, Gerhard Widmer, Klaus Seyerlehner, 2010, SIGIR '10.

Joint Beat and Downbeat Tracking with Recurrent Neural Networks

Florian Krebs, Gerhard Widmer, Sebastian Böck, 2016, ISMIR.

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

Gerhard Widmer, Anna Aljanaki, Shreyan Chowdhury, 2020, ArXiv.

Adapting to Drift in Continuous Domains (Extended Abstract)

Gerhard Widmer, Miroslav Kubat, 1995, ECML.

Using Geometric Symbolic Fingerprinting to Discover Distinctive Patterns in Polyphonic Music Corpora

Gerhard Widmer, Andreas Arzt, Tom Collins, 2016, Computational Music Analysis.

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Gerhard Widmer, Khaled Koutini, Hamid Eghbal-zadeh, 2019, 2019 27th European Signal Processing Conference (EUSIPCO).

Learning in the Presence of Concept Drift and Hidden Contexts

Gerhard Widmer, Miroslav Kubat, G. Widmer, 1996, Machine Learning.

Attention as a Perspective for Learning Tempo-invariant Audio Queries pdf

Gerhard Widmer, Jan Hajic, Matthias Dorfer, 2018, ArXiv.

Learning Transposition-Invariant Interval Features from Symbolic Music and Audio pdf

Gerhard Widmer, Maarten Grachten, Stefan Lattner, 2018, ArXiv.

AdMIRe: International Workshop on Advances in Music Information Research 2009

Paul Lamere, Peter Knees, Markus Schedl, 2009 .

The Performance Worm: Real Time Visualisation of Expression based on Langner's Tempo-Loudness Animation

Gerhard Widmer, Simon Dixon, Werner Goebl, 2002, ICMC.

Relational IBL in Music with a New Structural Similarity Measure

Gerhard Widmer, Asmir Tobudic, G. Widmer, 2003, ILP.

Linear Basis Models for Prediction and Analysis of Musical Expression

Gerhard Widmer, Maarten Grachten, G. Widmer, 2012 .

EVALUATION OF TERM UTILITY FUNCTIONS FOR VERY SHORT MULTIDOCUMENT SUMMARIES

Alexander K. Seewald, Gerhard Widmer, Christian Holzbaur, 2006, Appl. Artif. Intell..

Towards Musically Meaningful Explanations Using Source Separation pdf

Gerhard Widmer, Ethan Manilow, Verena Haunschmid, 2020, ArXiv.

Learning to Transcribe by Ear pdf

Gerhard Widmer, Rainer Kelz, 2018, ArXiv.

Building an Interactive Next-Generation Artist Recommender Based on Automatically Derived High-Level Concepts

Peter Knees, Tim Pohle, Markus Schedl, 2007, 2007 International Workshop on Content-Based Multimedia Indexing.

Exploring Music Collections in Virtual

Peter Knees, Tim Pohle, Markus Schedl, 2007 .

IEEE International Workshop on Advances in Music Information Research (AdMIRe-2009)

Peter Knees, Markus Schedl, Gerhard Widmer, 2009 .

Local and global scaling reduce hubs in space

Markus Schedl, Gerhard Widmer, Arthur Flexer, 2012, J. Mach. Learn. Res..

Improving Prototypical Artist Detection by Penalizing Exorbitant Popularity

Peter Knees, Markus Schedl, Gerhard Widmer, 2005, CMMR.

Psychological constraints on string-based methods for pattern discovery in polyphonic corpora pdf

Gerhard Widmer, David R. W. Sears, 2018, ArXiv.

A Complexity-based Approach to Melody Track Identification in MIDI Files ?

Gerhard Widmer, Søren Tjagvad Madsen, G. Widmer, 2007 .

The Vowel Worm : Real-time Mapping and Visualisation of Sung Vowels in Music

Gerhard Widmer, Andreas Arzt, Harald Frostel, 2011 .

Automatic knowledge base refinement: learning from examples and deep knowledge in rheumatology

Gerhard Widmer, Werner Horn, Bernhard Nagele, 1993, Artif. Intell. Medicine.

The Piano Music Companion

Gerhard Widmer, Sebastian Böck, Andreas Arzt, 2014, ECAI.

Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification pdf

Gerhard Widmer, Khaled Koutini, Hamid Eghbal-zadeh, 2019, DCASE.

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

Gerhard Widmer, Filip Korzeniowski, 2017, Semantic Audio.

On the limitations of browsing top-N recommender systems

Gerhard Widmer, Arthur Flexer, Klaus Seyerlehner, 2009, RecSys '09.

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

Gerhard Widmer, Carlos Eduardo Cancino Chacón, Maarten Grachten, 2017, ArXiv.

The Machine Learning and Intelligent Music Processing Group at the Austrian Research Institute for Artificial Intelligence (öFAI), Vienna

Peter Knees, Tim Pohle, Markus Schedl, 2005, ICMC.

From Rhythm Patterns to Perceived Tempo

Gerhard Widmer, Klaus Seyerlehner, Dominik Schnitzer, 2007, ISMIR.

Online, Loudness-Invariant Vocal Detection in Mixed Music Signals

Gerhard Widmer, Bernhard Lehner, Jan Schlüter, 2018, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

A Filter-and-Refine Indexing Method for Fast Similarity Search in Millions of Music Tracks

Gerhard Widmer, Arthur Flexer, Dominik Schnitzer, 2009, ISMIR.

Beneath (or beyond) the surface: Discovering voice-leading patterns with skip-grams pdf

Gerhard Widmer, David R. W. Sears, G. Widmer, 2020, Journal of Mathematics and Music.

Tim Pohle, Gerhard Widmer, Elias Pampalk, 2005 .

Improved Chord Recognition by Combining Duration and Harmonic Language Models pdf

Gerhard Widmer, Filip Korzeniowski, 2018, ISMIR.

Drum Transcription via Joint Beat and Drum Modeling Using Convolutional Recurrent Neural Networks

Peter Knees, Gerhard Widmer, Matthias Dorfer, 2017, ISMIR.

SIMAC: semantic interaction with music audio contents

Xavier Serra, Gerhard Widmer, Òscar Celma, 2005 .

Machine learning: ECML-97. Lecture Notes in AI 1224

Gerhard Widmer, M. W. van Someren, G. Widmer, 1997 .

Learning in the presence of concept drift and hidden contexts

Gerhard Widmer, Miroslav Kubat, G. Widmer, 2004, Machine Learning.

Streamcatcher: Integrated Visualization of Music Clips and Online Audio Streams

Gerhard Widmer, Arthur Flexer, Martin Gasser, 2008, ISMIR.

EXPLORING EXPRESSIVE PERFORMANCE TRAJECTORIES: SIX FAMOUS PIANISTS PLAY SIX CHOPIN PIECES

Gerhard Widmer, Elias Pampalk, Werner Goebl, 2004 .

I-Vectors for Timbre-Based Music Similarity and Music Artist Classification

Markus Schedl, Gerhard Widmer, Hamid Eghbal-zadeh, 2015, ISMIR.

Modeling Harmony with Skip-Grams pdf

Gerhard Widmer, Andreas Arzt, David R. W. Sears, 2017, ISMIR.

Case-Based Relational Learning of Expressive Phrasing in Classical Music

Gerhard Widmer, Asmir Tobudic, G. Widmer, 2004, ECCBR.

Automatically Describing Music on a Map

Peter Knees, Tim Pohle, Markus Schedl, 2006 .

Adaptive distance normalization for real-time music tracking

Gerhard Widmer, Simon Dixon, Andreas Arzt, 2012, 2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO).

A Large-Scale Study of Language Models for Chord Prediction

Gerhard Widmer, Filip Korzeniowski, David R. W. Sears, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Report on the ECAI workshop on artificial intelligence and music, held during the 9th European conference on artificial intelligence (ECAI‐90), Stockholm, Sweden, August 6–10, 1990

Gerhard Widmer, G. Widmer, 1990 .

In Search of the Horowitz Factor: Interim Report on a Musical Discovery Project

Gerhard Widmer, 2002, Discovery Science.

Playing Mozart by Analogy: Learning Multi-level Timing and Dynamics Strategies

Gerhard Widmer, Asmir Tobudic, G. Widmer, 2003 .

Machine Learning Approaches to Hybrid Music Recommender Systems pdf

Gerhard Widmer, Andreu Vall, G. Widmer, 2018, ECML/PKDD.

Learning Flexible Concepts from Streams of Examples: FLORA 2

Gerhard Widmer, Miroslav Kubat, 1992, ECAI.

DIPLOMARBEIT An Explorative , Hierarchical User Interface to Structured Music Repositories ausgeführt am

Gerhard Widmer, G. Widmer, 2003 .

Automatic Alignment of Music Performances with Structural Differences

Gerhard Widmer, Maarten Grachten, Andreas Arzt, 2013, ISMIR.

Genre-Agnostic Key Classification With Convolutional Neural Networks pdf

Gerhard Widmer, Filip Korzeniowski, G. Widmer, 2018, ISMIR.

Plausible Explanations and Instance–Based Learning in Mixed Symbolic/Numeric Domains

Gerhard Widmer, 2007 .

Deep Linear Discriminant Analysis pdf

Gerhard Widmer, Rainer Kelz, Matthias Dorfer, 2015, ICLR.

Qualitative Perception Modeling and Intelligent Musical Learning

Gerhard Widmer, G. Widmer, 1992 .

Automatische Verfeinerung der Wissensbasis durch maschinelles Lernen in einem medizinischen Expertensystem

Gerhard Widmer, Werner Horn, Bernhard Nagele, 1991, ÖGAI.

Artificial Intelligence in the Concertgebouw

Gerhard Widmer, Maarten Grachten, Andreas Arzt, 2015, IJCAI.

Towards Score Following In Sheet Music Images

Gerhard Widmer, Andreas Arzt, Matthias Dorfer, 2016, ISMIR.

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

Gerhard Widmer, Thassilo Gadermaier, 2019, ISMIR.

Machine Learning: ECML-97

Gerhard Widmer, Maarten van Someren, G. Widmer, 1997, Lecture Notes in Computer Science.

A new approach to hierarchical clustering and structuring of data with Self-Organizing Maps

Gerhard Widmer, Elias Pampalk, Alvin T. S. Chan, 2004, Intell. Data Anal..

Independent Component Analysis for Music Similarity Computation

Peter Knees, Tim Pohle, Markus Schedl, 2006, ISMIR.

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

Gerhard Widmer, Andreas Arzt, Jan Hajic, 2018, Trans. Int. Soc. Music. Inf. Retr..

Improving voice activity detection in movies

Gerhard Widmer, Bernhard Lehner, Reinhard Sonnleitner, 2015, INTERSPEECH.

An Efficient State-Space Model for Joint Tempo and Meter Tracking

Florian Krebs, Gerhard Widmer, Sebastian Böck, 2015, ISMIR.

EVALUATINGLOW-LEVEL FEATURESFOR BEAT CLASSIFICATIONAND TRACKING

Gerhard Widmer, Fabien Gouyon, 2007 .

Discovering and Visualizing Prototypical Artists by Web-Based Co-Occurrence Analysis

Peter Knees, Markus Schedl, Gerhard Widmer, 2005, ISMIR.

The Kinematic Rubato Model as a Means of Studying Final Ritards across Pieces and Pianists

Gerhard Widmer, Maarten Grachten, 2009 .

Evaluating Low-Level Features for Beat Classification and Tracking

Gerhard Widmer, Simon Dixon, Fabien Gouyon, 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.

Deep Within-Class Covariance Analysis for Acoustic Scene Classification pdf

Gerhard Widmer, Hamid Eghbal-zadeh, Matthias Dorfer, 2017, ArXiv.

Score Following as a Multi-Modal Reinforcement Learning Problem

Gerhard Widmer, Florian Henkel, Stefan Balke, 2019, Trans. Int. Soc. Music. Inf. Retr..

Local Group Delay Based Vibrato and Tremolo Suppression for Onset Detection

Gerhard Widmer, Sebastian Böck, 2013, ISMIR.

Extracting Patterns from Brazilian Guitar Accompaniment Data

Gerhard Widmer, Geber Ramalho, Søren Tjagvad Madsen, 2006 .

Automatic Chord Recognition with Higher-Order Harmonic Language Modelling

Gerhard Widmer, Filip Korzeniowski, 2018, 2018 26th European Signal Processing Conference (EUSIPCO).

Piece Identification in Classical Piano Music Without Reference Scores pdf

Gerhard Widmer, Andreas Arzt, G. Widmer, 2017, ISMIR.

Cross-Version Singing Voice Detection in Classical Opera Recordings

Gerhard Widmer, Meinard Müller, Bernhard Lehner, 2015, ISMIR.

Web-Based Detection of Music Band Members and Line-Up

Tim Pohle, Markus Schedl, Gerhard Widmer, 2007, ISMIR.

Phase-plane Representation and Visualization of Gestural Structure in Expressive Timing

Gerhard Widmer, Maarten Grachten, Sebastian Flossmann, 2009 .

One-touch access to music on mobile devices

Peter Knees, Tim Pohle, Gerhard Widmer, 2007, MUM.

Likelihood Estimation for Generative Adversarial Networks pdf

Gerhard Widmer, Hamid Eghbal-zadeh, G. Widmer, 2017, ArXiv.

Relative Unsupervised Discretization for Regresseion Problems

Gerhard Widmer, Marcus-Christopher Ludl, G. Widmer, 2000, ECML.

Sense in expressive music performance: Data acquisition, computational studies, and models

Giovanni De Poli, Gerhard Widmer, Anders Friberg, 2008 .

Using Plausible Explanations to Bias Empirical Generalizations in Weak Theory Domains

Gerhard Widmer, G. Widmer, 1991, EWSL.

Incremental Reduced Error Pruning

Johannes Fürnkranz, Gerhard Widmer, Johannes Fürnkranz, 1994, ICML.

Rhythmic Pattern Modeling for Beat and Downbeat Tracking in Musical Audio

Florian Krebs, Gerhard Widmer, Sebastian Böck, 2013, ISMIR.

Interactive Poster: Using CoMIRVA for Visualizing Similarities Between Music Artists

Peter Knees, Markus Schedl, Gerhard Widmer, 2005, IEEE Visualization.

Evaluating Rhythmic descriptors for Musical Genre Classification

Gerhard Widmer, Elias Pampalk, Simon Dixon, 2004 .

On the Potential of Machine Learning for Music Research

Gerhard Widmer, G. Widmer, 2000, Readings in Music and Artificial Intelligence.

Accurate Tempo Estimation Based on Recurrent Neural Networks and Resonating Comb Filters

Florian Krebs, Gerhard Widmer, Sebastian Böck, 2015, ISMIR.

Tempo- and Transposition-invariant Identification of Piece and Score Position

Gerhard Widmer, Andreas Arzt, Reinhard Sonnleitner, 2014, ISMIR.

On the reduction of false positives in singing voice detection

Gerhard Widmer, Bernhard Lehner, Reinhard Sonnleitner, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

The ISMIR Cloud: A Decade of ISMIR Conferences at Your Fingertips

Tim Pohle, Markus Schedl, Gerhard Widmer, 2009, ISMIR.

The Usefulness of Qualitative Theories of Musical Perception

Gerhard Widmer, G. Widmer, 1990, ICMC.

Visualizing changes in the structure of data for exploratory feature selection

Gerhard Widmer, Elias Pampalk, Werner Goebl, 2003, KDD '03.

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

Gerhard Widmer, Florian Henkel, Matthias Dorfer, 2018, ISMIR.

Machine Discoveries: A Few Simple, Robust Local Expression Principles

Gerhard Widmer, G. Widmer, 2002 .

Intelligent structuring and exploration of digital music collections

Markus Schedl, Gerhard Widmer, Elias Pampalk, 2005 .

Who Is Who in the End? Recognizing Pianists by Their Final Ritardandi

Gerhard Widmer, Maarten Grachten, G. Widmer, 2009, ISMIR.

Sound/tracks: real-time synaesthetic sonification of train journeys

Peter Knees, Tim Pohle, Gerhard Widmer, 2008, ACM Multimedia.

Hybrid Decision Tree Learners with Alternative Leaf Classifiers: An Empirical Study

Alexander K. Seewald, Gerhard Widmer, Johann Petrak, 2001, FLAIRS Conference.

Transformation-Based Regression

Gerhard Widmer, Stefan Kramer, Hannes Pirker, 2002, International Conference on Machine Learning.

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

Gerhard Widmer, Carlos Eduardo Cancino Chacón, Maarten Grachten, 2017, Machine Learning.

Evolutionary Search for Musical Parallelism

Gerhard Widmer, Søren Tjagvad Madsen, 2005, EvoWorkshops.

Towards Full-Pipeline Handwritten OMR with Musical Symbol Detection by U-Nets

Gerhard Widmer, Pavel Pecina, Jan Hajic, 2018, ISMIR.

Musikalisch intelligente Computer Anwendungen in der klassischen und populären Musik

Gerhard Widmer, 2005, Informatik-Spektrum.

A hybrid approach to music playlist continuation based on playlist-song membership

Markus Schedl, Gerhard Widmer, Andreu Vall, 2018, SAC.

Unobtrusive practice tools for pianists

Gerhard Widmer, Werner Goebl, 2006 .

Guest Editorial: Machine learning in and for music

Gerhard Widmer, 2006, Machine Learning.

Hierarchical Organization and Description of Music Collections at the Artist Level

Gerhard Widmer, Elias Pampalk, Arthur Flexer, 2005, ECDL.

COMPUTATIONAL INVESTIGATIONS INTO BETWEEN-HAND SYNCHRONIZATION IN PIANO PLAYING: MAGALOFF'S COMPLETE CHOPIN

Gerhard Widmer, Sebastian Flossmann, Werner Goebl, 2009 .

Deep Within-Class Covariance Analysis for Robust Audio Representation Learning

Gerhard Widmer, Hamid Eghbal-zadeh, Matthias Dorfer, 2017 .

A Multi-pass Algorithm for Accurate Audio-to-Score Alignment

Gerhard Widmer, Bernhard Niedermayer, G. Widmer, 2010, ISMIR.

Anomalous Sound Detection as a Simple Binary Classification Problem with Careful Selection of Proxy Outlier Examples pdf

Gerhard Widmer, Verena Haunschmid, Paul Primus, 2020, DCASE.

Learning to Play Like the Great Pianists

Gerhard Widmer, Asmir Tobudic, G. Widmer, 2005, IJCAI.

A Convolutional Approach to Melody Line Identification in Symbolic Scores pdf

Gerhard Widmer, Carlos Eduardo Cancino Chacón, Stavros Ntalampiras, 2019, ISMIR.

BUILDINGANINTERACTIVENEXT-GENERATIONARTISTRECOMMENDER BASEDONAUTOMATICALLYDERIVEDHIGH-LEVELCONCEPTS

Peter Knees, Tim Pohle, Markus Schedl, 2007 .

Guest editorial: Machine learning in and for music

Gerhard Widmer, 2006, Machine Learning.

Separating voices in MIDI

Gerhard Widmer, Søren Tjagvad Madsen, 2006, ISMIR.

Discovering simple rules in complex data: A meta-learning algorithm and some surprising musical discoveries

Gerhard Widmer, G. Widmer, 2003, Artif. Intell..

SIARCT-CFP: Improving Precision and the Discovery of Inexact Musical Patterns in Point-Set Representations

Gerhard Widmer, Andreas Arzt, Sebastian Flossmann, 2013, ISMIR.

FLEXIBLE SCORE FOLLOWING: THE PIANO MUSIC COMPANION AND BEYOND

Gerhard Widmer, Andreas Arzt, Werner Goebl, 2015 .

Towards multi-instrument drum transcription pdf

Peter Knees, Gerhard Widmer, Richard Vogl, 2018, ArXiv.

Improving tempo-sensitive and tempo-robust descriptors for rhythmic similarity

Gerhard Widmer, Arthur Flexer, Andre Holzapfel, 2011 .

A roadmap for sound and music computing

Marc Leman, Xavier Serra, Gerhard Widmer, 2007 .

Two-level Explanations in Music Emotion Recognition pdf

Gerhard Widmer, Verena Haunschmid, Shreyan Chowdhury, 2019, ArXiv.

Effective Learning in Dynamic Environments by Explicit Context Tracking

Gerhard Widmer, Miroslav Kubat, G. Widmer, 1993, ECML.

Downbeat Tracking Using Beat Synchronous Features with Recurrent Neural Networks

Florian Krebs, Gerhard Widmer, Sebastian Böck, 2016, ISMIR.

Playing Mozart Phrase by Phrase

Gerhard Widmer, Asmir Tobudic, G. Widmer, 2003, ICCBR.

Islands of Gaussians: The Self Organizing Map and Gaussian Music Similarity Features

Gerhard Widmer, Arthur Flexer, Dominik Schnitzer, 2010, ISMIR.

Live Score Following on Sheet Music Images pdf

Gerhard Widmer, Sebastian Böck, Andreas Arzt, 2016, ArXiv.

Real Time Tracking and Visualisation of Musical Expression

Gerhard Widmer, Simon Dixon, Werner Goebl, 2002, ICMAI.

The Musical Expression Project: A Challenge for Machine Learning and Knowledge Discovery

Gerhard Widmer, G. Widmer, 2001, PKDD.

Probabilistic Generative Adversarial Networks pdf

Gerhard Widmer, Hamid Eghbal-zadeh, 2017, ArXiv.

Refined Spectral Template Models for Score Following

Gerhard Widmer, Filip Korzeniowski, G. Widmer, 2013 .

Automatic Music Tag Classification Based On Block-Level Features

Peter Knees, Markus Schedl, Gerhard Widmer, 2010 .

Automatic Audio Defect Detection

Tim Pohle, Gerhard Widmer, Klaus Seyerlehner, 2010 .

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

Gerhard Widmer, Rainer Kelz, 2018, 2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

On the Potential of Simple Framewise Approaches to Piano Transcription

Gerhard Widmer, Sebastian Böck, Andreas Arzt, 2016, ISMIR.

Artist Classification with Web-Based Data

Peter Knees, Gerhard Widmer, Elias Pampalk, 2004, ISMIR.

Probabilistic Combination of Features for Music Classification

Gerhard Widmer, Arthur Flexer, Simon Dixon, 2006, ISMIR.

A Multi-model Approach to Beat Tracking Considering Heterogeneous Music Styles

Florian Krebs, Gerhard Widmer, Sebastian Böck, 2014, ISMIR.

Computational Models of Expressive Music Performance: The State of the Art

Gerhard Widmer, Werner Goebl, G. Widmer, 2004 .

Feature-combination hybrid recommender systems for automated music playlist continuation

Markus Schedl, Gerhard Widmer, Hamid Eghbal-zadeh, 2019, User Modeling and User-Adapted Interaction.

Guest Editors'Introduction

Gerhard Widmer, Miroslav Kubat, 1998, Machine Learning.

Tracking Context Changes through Meta-Learning

Gerhard Widmer, G. Widmer, 1997, Machine Learning.

A hybrid approach with multi-channel i-vectors and convolutional neural networks for acoustic scene classification

Gerhard Widmer, Hamid Eghbal-zadeh, Bernhard Lehner, 2017, 2017 25th European Signal Processing Conference (EUSIPCO).

madmom: A New Python Audio and Music Signal Processing Library

Florian Krebs, Gerhard Widmer, Sebastian Böck, 2016, ACM Multimedia.

Learning Specialized Disease Descriptions in a Rheumatological Expert System

Gerhard Widmer, Werner Horn, Bernhard Nagele, 1991, MIE.

Inductive Learning of General and Robust Local Expression Principles

Gerhard Widmer, G. Widmer, 2001, International Conference on Mathematics and Computing.

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

Markus Schedl, Gerhard Widmer, Massimo Quadrana, 2018, ArXiv.

Timbral modeling for music artist recognition using i-vectors

Markus Schedl, Gerhard Widmer, Hamid Eghbal-zadeh, 2015, 2015 23rd European Signal Processing Conference (EUSIPCO).

Playlist Generation using Start and End Songs

Gerhard Widmer, Arthur Flexer, Dominik Schnitzer, 2008, ISMIR.

Production of staccato articulation in Mozart sonatas played on a grand piano. : Preliminary results

Gerhard Widmer, Roberto Bresin, 2000 .

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

Gerhard Widmer, Shreyan Chowdhury, 2021, ISMIR.

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

Gerhard Widmer, Shreyan Chowdhury, Verena Praher, 2021, ArXiv.

LEMONS: Listenable Explanations for Music recOmmeNder Systems

Markus Schedl, Gerhard Widmer, Verena Haunschmid, 2021, ECIR.

Exploiting Temporal Dependencies for Cross-modal Music Piece Identification

Gerhard Widmer, Luis Carvalho, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Improving Real-time Score Following in Opera by Combining Music with Lyrics Tracking pdf

Gerhard Widmer, Charles Brazier, G. Widmer, 2021, NLP4MUSA.

Fully Automatic Page Turning on Real Scores pdf

Gerhard Widmer, Florian Henkel, Stephanie Schwaiger, 2021, ArXiv.

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

Gerhard Widmer, Florian Henkel, 2021, Frontiers Comput. Sci..

Handling Structural Mismatches in Real-time Opera Tracking

Gerhard Widmer, Charles Brazier, G. Widmer, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples

Gerhard Widmer, Arthur Flexer, Verena Praher, 2021, ISMIR.

Efficient Training of Audio Transformers with Patchout pdf

Gerhard Widmer, Khaled Koutini, Hamid Eghbal-zadeh, 2021, ArXiv.

On-Line Audio-to-Lyrics Alignment Based on a Reference Performance

Gerhard Widmer, Charles Brazier, G. Widmer, 2021, ISMIR.

Probabilistic Modelling of Signal Mixtures with Differentiable Dictionaries

Gerhard Widmer, Rainer Kelz, Lukás Samuel Marták, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

Con Espressione! AI, Machine Learning, and Musical Expressivity

Gerhard Widmer, G. Widmer, 2021, ICAART.

Multi-modal Conditional Bounding Box Regression for Music Score Following

Gerhard Widmer, Florian Henkel, 2021, 2021 29th European Signal Processing Conference (EUSIPCO).

On End-to-End White-Box Adversarial Attacks in Music Information Retrieval

Gerhard Widmer, Arthur Flexer, Katharina Prinz, 2021, Transactions of the International Society for Music Information Retrieval.

Over-Parameterization and Generalization in Audio Classification pdf

Gerhard Widmer, Khaled Koutini, Florian Henkel, 2021, ArXiv.

Receptive Field Regularization Techniques for Audio Classification and Tagging With Deep Convolutional Neural Networks

Gerhard Widmer, Khaled Koutini, Hamid Eghbal-zadeh, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

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

Gerhard Widmer, Shreyan Chowdhury, G. Widmer, 2021, ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Training general-purpose audio tagging networks with noisy labels and iterative self-verification

Gerhard Widmer, Matthias Dorfer, G. Widmer, 2018, DCASE.

CP-JKU SUBMISSIONS FOR DCASE-2016 : A HYBRID APPROACH USING BINAURAL I-VECTORS AND DEEP CONVOLUTIONAL NEURAL NETWORKS

Gerhard Widmer, Bernhard Lehner, Hamid Eghbal-Zadeh, 2016 .

CLASSIFYING SHORT ACOUSTIC SCENES WITH I-VECTORS AND CNNS : CHALLENGES AND OPTIMISATIONS FOR THE 2017 DCASE ASC TASK

Gerhard Widmer, Khaled Koutini, Hamid Eghbal-zadeh, 2017 .

CP-JKU SUBMISSIONS TO DCASE ’ 19 : ACOUSTIC SCENE CLASSIFICATION AND AUDIO TAGGING WITH RECEPTIVE-FIELD-REGULARIZED CNNS Technical Report

Gerhard Widmer, Khaled Koutini, Hamid Eghbal-zadeh, 2019 .

ÖGAI Journal 24 / 1 Automatic Classification of Musical Artists based on Web-Data

Peter Knees, Gerhard Widmer, Elias Pampalk, 2005 .

TOWARDS PHRASE STRUCTURE RECONSTRUCTION FROM EXPRESSIVE PERFORMANCE DATA

Gerhard Widmer, Maarten Grachten, G. Widmer, 2007 .