Gerhard Widmer - Academia.edu (original) (raw)

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Papers by Gerhard Widmer

Research paper thumbnail of Hidden Markov Models for Spectral Similarity of Songs

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Research paper thumbnail of On the Potential of Machine Learning for Music Research

ABSTRACT

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Research paper thumbnail of Local and global scaling reduce hubs in space

Journal of Machine Learning Research, Oct 1, 2012

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Research paper thumbnail of Using Ai and Machine Learning to Study Expressive Music Performance Project Survey and First Report

IOS PressPUB827Amsterdam, The Netherlands, The Netherlands, Aug 1, 2001

This article presents a long‐term inter‐disciplinary research project situated ... more This article presents a long‐term inter‐disciplinary research project situated at the intersection of the scientific disciplines of Musicology and Artificial Intelligence. The goal is to develop AI, and in particular machine learning and data mining, methods to study the ...

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Research paper thumbnail of Towards reliable real-time opera tracking: Combining alignment with audio event detectors to increase robustness

Recent advances in real-time music score following have made it possible for machines to automati... more Recent advances in real-time music score following have made it possible for machines to automatically track highly complex polyphonic music, including full orchestra performances. In this paper, we attempt to take this to an even higher level, namely, live tracking of full operas. We first apply a state-of-the-art audio alignment method based on online Dynamic Time-Warping (OLTW) to full-length recordings of a Mozart opera and, analyzing the tracker's most severe errors, identify three common sources of problems specific to the opera scenario. To address these, we propose a combination of a DTW-based music tracker with specialized audio event detectors (for applause, silence/noise, and speech) that condition the DTW algorithm in a topdown fashion, and show, step by step, how these detectors add robustness to the score follower. However, there remain a number of open problems which we identify as targets for ongoing and future research.

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Research paper thumbnail of Unsupervised Learning And Refinement Of Rhythmic Patterns For Beat And Downbeat Tracking

Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal, 2014

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Research paper thumbnail of Fast Identification Of Piece And Score Position Via Symbolic Fingerprinting

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Research paper thumbnail of Classification Of Dance Music By Periodicity Patterns

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Research paper thumbnail of Dynamic Playlist Generation Based On Skipping Behavior

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Research paper thumbnail of A Multi-Pass Algorithm For Accurate Audio-To-Score Alignment

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Research paper thumbnail of The Ismir Cloud: A Decade Of Ismir Conferences At Your Fingertips

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Research paper thumbnail of Novelty Detection Based On Spectral Similarity Of Songs

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Research paper thumbnail of Browsing Music Recommendation Networks

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Research paper thumbnail of Match: A Music Alignment Tool Chest

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Research paper thumbnail of Improvements Of Audio-Based Music Similarity And Genre Classificaton

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Research paper thumbnail of Streamcatcher: Integrated Visualization Of Music Clips And Online Audio Streams

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Research paper thumbnail of Using Mutual Proximity To Improve Content-Based Audio Similarity

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Research paper thumbnail of On The Importance Of "Real" Audio Data For Mir Algorithm Evaluation At The Note-Level - A Comparative Study

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Research paper thumbnail of Separating Voices In Midi

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Research paper thumbnail of Towards Characterisation Of Music Via Rhythmic Patterns

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Research paper thumbnail of Hidden Markov Models for Spectral Similarity of Songs

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Research paper thumbnail of On the Potential of Machine Learning for Music Research

ABSTRACT

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Research paper thumbnail of Local and global scaling reduce hubs in space

Journal of Machine Learning Research, Oct 1, 2012

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Research paper thumbnail of Using Ai and Machine Learning to Study Expressive Music Performance Project Survey and First Report

IOS PressPUB827Amsterdam, The Netherlands, The Netherlands, Aug 1, 2001

This article presents a long‐term inter‐disciplinary research project situated ... more This article presents a long‐term inter‐disciplinary research project situated at the intersection of the scientific disciplines of Musicology and Artificial Intelligence. The goal is to develop AI, and in particular machine learning and data mining, methods to study the ...

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Research paper thumbnail of Towards reliable real-time opera tracking: Combining alignment with audio event detectors to increase robustness

Recent advances in real-time music score following have made it possible for machines to automati... more Recent advances in real-time music score following have made it possible for machines to automatically track highly complex polyphonic music, including full orchestra performances. In this paper, we attempt to take this to an even higher level, namely, live tracking of full operas. We first apply a state-of-the-art audio alignment method based on online Dynamic Time-Warping (OLTW) to full-length recordings of a Mozart opera and, analyzing the tracker's most severe errors, identify three common sources of problems specific to the opera scenario. To address these, we propose a combination of a DTW-based music tracker with specialized audio event detectors (for applause, silence/noise, and speech) that condition the DTW algorithm in a topdown fashion, and show, step by step, how these detectors add robustness to the score follower. However, there remain a number of open problems which we identify as targets for ongoing and future research.

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Research paper thumbnail of Unsupervised Learning And Refinement Of Rhythmic Patterns For Beat And Downbeat Tracking

Publication in the conference proceedings of EUSIPCO, Lisbon, Portugal, 2014

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Fast Identification Of Piece And Score Position Via Symbolic Fingerprinting

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Classification Of Dance Music By Periodicity Patterns

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Research paper thumbnail of Dynamic Playlist Generation Based On Skipping Behavior

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Research paper thumbnail of A Multi-Pass Algorithm For Accurate Audio-To-Score Alignment

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Research paper thumbnail of The Ismir Cloud: A Decade Of Ismir Conferences At Your Fingertips

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Research paper thumbnail of Novelty Detection Based On Spectral Similarity Of Songs

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Research paper thumbnail of Browsing Music Recommendation Networks

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Research paper thumbnail of Match: A Music Alignment Tool Chest

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Research paper thumbnail of Improvements Of Audio-Based Music Similarity And Genre Classificaton

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Research paper thumbnail of Streamcatcher: Integrated Visualization Of Music Clips And Online Audio Streams

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Research paper thumbnail of Using Mutual Proximity To Improve Content-Based Audio Similarity

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Research paper thumbnail of On The Importance Of "Real" Audio Data For Mir Algorithm Evaluation At The Note-Level - A Comparative Study

Bookmarks Related papers MentionsView impact

Research paper thumbnail of Separating Voices In Midi

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Research paper thumbnail of Towards Characterisation Of Music Via Rhythmic Patterns

Bookmarks Related papers MentionsView impact

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