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ORCIDMeinard Müller
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- affiliation: Audio Labs Erlangen, Germany
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2020 – today
- 2024
[j62]Christof Weiß
, Meinard Müller:
From Music Scores to Audio Recordings: Deep Pitch-Class Representations for Measuring Tonal Structures. ACM Journal on Computing and Cultural Heritage 17(3): 45:1-45:19 (2024)- [j61]Yigitcan Özer, Leo Brütting, Simon J. Schwär, Meinard Müller:
libsoni: A Python Toolbox for Sonifying Music Annotations and Feature Representations. J. Open Source Softw. 9(98): 6524 (2024) - [j60]Yigitcan Özer, Meinard Müller:
Source Separation of Piano Concertos Using Musically Motivated Augmentation Techniques. IEEE ACM Trans. Audio Speech Lang. Process. 32: 1214-1225 (2024) - [j59]Simon J. Schwär, Michael Krause, Michael Fast, Sebastian Rosenzweig, Frank Scherbaum, Meinard Müller:
A Dataset of Larynx Microphone Recordings for Singing Voice Reconstruction. Trans. Int. Soc. Music. Inf. Retr. 7(1): 30-43 (2024) - [j58]Meinard Müller, Simon Dixon, Anja Volk, Bob L. T. Sturm, Preeti Rao, Mark Gotham:
Introducing the TISMIR Education Track: What, Why, How? Trans. Int. Soc. Music. Inf. Retr. 7(1): 85-98 (2024) - [j57]Meinard Müller, Ching-Yu Chiu:
A Basic Tutorial on Novelty and Activation Functions for Music Signal Processing. Trans. Int. Soc. Music. Inf. Retr. 7(1): 179-194 (2024) - [j56]Johannes Zeitler, Christof Weiß, Vlora Arifi-Müller, Meinard Müller:
BPSD: A Coherent Multi-Version Dataset for Analyzing the First Movements of Beethoven's Piano Sonatas. Trans. Int. Soc. Music. Inf. Retr. 7(1): 195-212 (2024) - [j55]Peter Meier, Ching-Yu Chiu, Meinard Müller:
A Real-Time Beat Tracking System with Zero Latency and Enhanced Controllability. Trans. Int. Soc. Music. Inf. Retr. 7(1): 213-227 (2024) - [c183]Johannes Zeitler, Michael Krause, Meinard Müller:
Soft Dynamic Time Warping with Variable Step Weights. ICASSP 2024: 356-360 - [c182]Ben Maman, Johannes Zeitler, Meinard Müller, Amit H. Bermano:
Performance Conditioning for Diffusion-Based Multi-Instrument Music Synthesis. ICASSP 2024: 5045-5049 - [c181]Philipp Weber, Christian Uhle, Meinard Müller, Matthias Lang:
Real-Time Automatic Drum Transcription Using Dynamic Few-Shot Learning. IS2 2024: 1-8 - 2023
- [j54]Sebastian Rosenzweig, Frank Scherbaum, Meinard Müller:
Computer-assisted Analysis of Field Recordings: A Case Study of Georgian Funeral Songs. ACM Journal on Computing and Cultural Heritage 16(1): 1-16 (2023) - [j53]Simon J. Schwär, Meinard Müller:
Multi-Scale Spectral Loss Revisited. IEEE Signal Process. Lett. 30: 1712-1716 (2023) - [j52]Michael Krause, Meinard Müller:
Hierarchical Classification for Instrument Activity Detection in Orchestral Music Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2567-2578 (2023) - [j51]Jakob Abeßer, Sascha Grollmisch, Meinard Müller:
How Robust are Audio Embeddings for Polyphonic Sound Event Tagging? IEEE ACM Trans. Audio Speech Lang. Process. 31: 2658-2667 (2023) - [j50]Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies, Alvin Wen-Yu Su, Yi-Hsuan Yang:
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music. IEEE ACM Trans. Audio Speech Lang. Process. 31: 2824-2835 (2023) - [j49]Yigitcan Özer, Simon J. Schwär, Vlora Arifi-Müller, Jeremy Lawrence, Emre Sen, Meinard Müller:
Piano Concerto Dataset (PCD): A Multitrack Dataset of Piano Concertos. Trans. Int. Soc. Music. Inf. Retr. 6(1): 75-88 (2023) - [j48]Christof Weiß, Vlora Arifi-Müller, Michael Krause, Frank Zalkow, Stephanie Klauk, Rainer Kleinertz, Meinard Müller:
Wagner Ring Dataset: A Complex Opera Scenario for Music Processing and Computational Musicology. Trans. Int. Soc. Music. Inf. Retr. 6(1): 135-149 (2023) - [j47]Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow, Meinard Müller, Yi-Hsuan Yang:
Theme Transformer: Symbolic Music Generation With Theme-Conditioned Transformer. IEEE Trans. Multim. 25: 3495-3508 (2023) - [c180]Christof Weiß, Meinard Müller:
Studying Tonal Evolution of Western Choral Music: A Corpus-Based Strategy. CHR 2023: 687-702 - [c179]Meinard Müller, Frank Zalkow:
FMP Notebooks. GI-Jahrestagung 2023: 785-794 - [c178]Christof Weiß, Meinard Müller, Stephanie Klauk, Rainer Kleinertz:
Neue Wege für die Musikforschung. GI-Jahrestagung 2023: 805-814 - [c177]Peter Meier, Simon J. Schwär, Gerhard Krump, Meinard Müller:
Evaluating Real-Time Pitch Estimation Algorithms for Creative Music Game Interaction. GI-Jahrestagung 2023: 873-882 - [c176]Stephanie Klauk, Rainer Kleinertz, Pascal Schmolenzky, Christof Weiß, Meinard Müller:
Perspektiven computergestützter harmonischer Analyse: Beethovens op. 14 Nr. 1 als Gegenstand gattungsübergreifender Korpusanalyse. GI-Jahrestagung 2023: 883-889 - [c175]Michael Krause, Christof Weiß, Meinard Müller:
Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond. ICASSP 2023: 1-5 - [c174]Nazif Can Tamer, Yigitcan Özer, Meinard Müller, Xavier Serra:
TAPE: An End-to-End Timbre-Aware Pitch Estimator. ICASSP 2023: 1-5 - [c173]Frank Zalkow, Prachi Govalkar, Meinard Müller, Emanuël A. P. Habets, Christian Dittmar:
Evaluating Speech-Phoneme Alignment and its Impact on Neural Text-To-Speech Synthesis. ICASSP 2023: 1-5 - [c172]Nazif Can Tamer, Yigitcan Özer, Meinard Müller, Xavier Serra:
High-Resolution Violin Transcription Using Weak Labels. ISMIR 2023: 223-230 - [c171]Michael Krause, Sebastian Strahl, Meinard Müller:
Weakly Supervised Multi-Pitch Estimation Using Cross-Version Alignment. ISMIR 2023: 289-296 - [c170]Johannes Zeitler, Simon Deniffel, Michael Krause, Meinard Müller:
Stabilizing Training With Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation With Weakly Aligned Targets. ISMIR 2023: 433-439 - [c169]Michael Krause, Christof Weiß, Meinard Müller:
A Cross-Version Approach to Audio Representation Learning for Orchestral Music. ISMIR 2023: 832-839 - [d13]Christof Weiß, Vlora Arifi-Müller, Michael Krause, Frank Zalkow, Stephanie Klauk, Rainer Kleinertz, Meinard Müller:
Wagner Ring Dataset. Zenodo, 2023
- [i19]Michael Krause, Christof Weiß, Meinard Müller:
Soft Dynamic Time Warping for Multi-Pitch Estimation and Beyond. CoRR abs/2304.05032 (2023) - [i18]Johannes Zeitler, Simon Deniffel, Michael Krause, Meinard Müller:
Stabilizing Training with Soft Dynamic Time Warping: A Case Study for Pitch Class Estimation with Weakly Aligned Targets. CoRR abs/2308.05429 (2023) - [i17]Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies, Alvin Wen-Yu Su, Yi-Hsuan Yang:
Local Periodicity-Based Beat Tracking for Expressive Classical Piano Music. CoRR abs/2308.10355 (2023) - [i16]Ben Maman, Johannes Zeitler, Meinard Müller, Amit H. Bermano:
Performance Conditioning for Diffusion-Based Multi-Instrument Music Synthesis. CoRR abs/2309.12283 (2023) - 2022
- [j46]Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies, Alvin Wen-Yu Su, Yi-Hsuan Yang:
An Analysis Method for Metric-Level Switching in Beat Tracking. IEEE Signal Process. Lett. 29: 2153-2157 (2022) - [j45]Stefan Balke, Julian Reck, Christof Weiß, Jakob Abeßer, Meinard Müller:
JSD: A Dataset for Structure Analysis in Jazz Music. Trans. Int. Soc. Music. Inf. Retr. 5(1): 156-172 (2022) - [j44]Alessandro Ilic Mezza, Emanuël A. P. Habets, Meinard Müller, Augusto Sarti:
Unsupervised Domain Adaptation via Principal Subspace Projection for Acoustic Scene Classification. J. Signal Process. Syst. 94(2): 197-213 (2022) - [c168]Yigitcan Özer, Jonathan Hansen, Tim Zunner, Meinard Müller:
Investigating Nonnegative Autoencoders for Efficient Audio Decomposition. EUSIPCO 2022: 254-258 - [c167]Michael Krause, Meinard Müller:
Hierarchical Classification of Singing Activity, Gender, and Type in Complex Music Recordings. ICASSP 2022: 406-410 - [c166]Yigitcan Özer, Meinard Müller:
Source Separation of Piano Concertos with Test-Time Adaptation. ISMIR 2022: 493-500 - [c165]Yigitcan Özer, Matej Istvanek, Vlora Arifi-Müller, Meinard Müller:
Using Activation Functions for Improving Measure-Level Audio Synchronization. ISMIR 2022: 749-756 - [c164]Peter Meier, Simon J. Schwär, Sebastian Rosenzweig, Meinard Müller:
Real-Time MIR Algorithms for Music-Reactive Game World Generation. MuC (Workshopband) 2022 - [d12]Meinard Müller, Sebastian Rosenzweig:
PCP Notebooks: A Preparation Course for Python with a Focus on Signal Processing. Version v1.1.2. Zenodo, 2022 [all versions] - [d11]Sebastian Rosenzweig, Simon J. Schwär, Meinard Müller:
groupmm/libf0: v1.0.0. Zenodo, 2022 - [i15]Ching-Yu Chiu, Meinard Müller, Matthew E. P. Davies, Alvin Wen-Yu Su, Yi-Hsuan Yang:
An Analysis Method for Metric-Level Switching in Beat Tracking. CoRR abs/2210.06817 (2022) - [i14]Meinard Müller, Rachel M. Bittner, Juhan Nam:
Deep Learning and Knowledge Integration for Music Audio Analysis (Dagstuhl Seminar 22082). Dagstuhl Reports 12(2): 103-133 (2022) - 2021
- [b4]Meinard Müller:
Fundamentals of Music Processing - Using Python and Jupyter Notebooks, Second Edition. Springer 2021, ISBN 978-3-030-69807-2, pp. 1-495 - [j43]Christof Weiß, Frank Zalkow, Vlora Arifi-Müller, Meinard Müller, Hendrik Vincent Koops, Anja Volk, Harald G. Grohganz:
Schubert Winterreise Dataset: A Multimodal Scenario for Music Analysis. ACM Journal on Computing and Cultural Heritage 14(2): 25:1-25:18 (2021) - [j42]Meinard Müller, Frank Zalkow:
libfmp: A Python Package for Fundamentals of Music Processing. J. Open Source Softw. 6(63): 3326 (2021) - [j41]Meinard Müller, Yigitcan Özer, Michael Krause, Thomas Prätzlich, Jonathan Driedger:
Sync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronization. J. Open Source Softw. 6(64): 3434 (2021) - [j40]Meinard Müller, Brian McFee, Katherine M. Kinnaird:
Interactive Learning of Signal Processing Through Music: Making Fourier Analysis Concrete for Students. IEEE Signal Process. Mag. 38(3): 73-84 (2021) - [j39]Frank Zalkow, Meinard Müller:
CTC-Based Learning of Chroma Features for Score-Audio Music Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2957-2971 (2021) - [j38]Michael Krause, Meinard Müller, Christof Weiß:
Towards Leitmotif Activity Detection in Opera Recordings. Trans. Int. Soc. Music. Inf. Retr. 4(1): 127-140 (2021) - [c163]Sebastian Rosenzweig, Simon J. Schwär, Jonathan Driedger, Meinard Müller:
Adaptive Pitch-Shifting with Applications to Intonation Adjustment in a Cappella Recordings. DAFx 2021: 121-128 - [c162]Igor Vatolkin, Marcel Koch, Meinard Müller:
A Multi-objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation. EvoMUSART 2021: 327-343 - [c161]Igor Vatolkin, Fabian Ostermann, Meinard Müller:
An evolutionary multi-objective feature selection approach for detecting music segment boundaries of specific types. GECCO 2021: 1061-1069 - [c160]Sebastian Rosenzweig, Frank Scherbaum, Meinard Müller:
Reliability Assessment of Singing Voice F0-Estimates Using Multiple Algorithms. ICASSP 2021: 261-265 - [c159]Mark Gotham, Rainer Kleinertz, Christof Weiss, Meinard Müller, Stephanie Klauk:
What if the 'When' Implies the 'What'?: Human harmonic analysis datasets clarify the relative role of the separate steps in automatic tonal analysis. ISMIR 2021: 229-236 - [c158]Simon J. Schwär, Sebastian Rosenzweig, Meinard Müller:
A Differentiable Cost Measure for Intonation Processing in Polyphonic Music. ISMIR 2021: 626-633 - [c157]Christof Weiss, Johannes Zeitler, Tim Zunner, Florian Schuberth, Meinard Müller:
Learning Pitch-Class Representations from Score-Audio Pairs of Classical Music. ISMIR 2021: 746-753 - [d10]Meinard Müller, Yigitcan Özer, Michael Krause, Thomas Prätzlich, Jonathan Driedger:
Sync Toolbox: A Python Package for Efficient, Robust, and Accurate Music Synchronization. Zenodo, 2021 - [d9]Meinard Müller, Sebastian Rosenzweig:
meinardmueller/PCP: v1.1.0. Version v1.1.0. Zenodo, 2021 [all versions] - [d8]Meinard Müller, Sebastian Rosenzweig:
meinardmueller/PCP: v1.1.1. Version v1.1.1. Zenodo, 2021 [all versions] - [d7]Meinard Müller, Frank Zalkow:
libfmp: A Python Package for Fundamentals of Music Processing. Zenodo, 2021 - [d6]Christof Weiß, Frank Zalkow, Vlora Arifi-Müller, Meinard Müller, Hendrik Vincent Koops, Anja Volk, Harald G. Grohganz:
Schubert Winterreise Dataset. Version 2.0. Zenodo, 2021 [all versions] - [i13]Jakob Abeßer, Meinard Müller:
Towards Audio Domain Adaptation for Acoustic Scene Classification using Disentanglement Learning. CoRR abs/2110.13586 (2021) - [i12]Yi-Jen Shih, Shih-Lun Wu, Frank Zalkow, Meinard Müller, Yi-Hsuan Yang:
Theme Transformer: Symbolic Music Generation with Theme-Conditioned Transformer. CoRR abs/2111.04093 (2021) - 2020
- [j37]Christof Weiß, Hendrik Schreiber, Meinard Müller:
Local Key Estimation in Music Recordings: A Case Study Across Songs, Versions, and Annotators. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2919-2932 (2020) - [j36]Sebastian Rosenzweig, Frank Scherbaum, David Shugliashvili, Vlora Arifi-Müller, Meinard Müller:
Erkomaishvili Dataset: A Curated Corpus of Traditional Georgian Vocal Music for Computational Musicology. Trans. Int. Soc. Music. Inf. Retr. 3(1): 31-41 (2020) - [j35]Sebastian Rosenzweig, Helena Cuesta, Christof Weiß, Frank Scherbaum, Emilia Gómez, Meinard Müller:
Dagstuhl ChoirSet: A Multitrack Dataset for MIR Research on Choral Singing. Trans. Int. Soc. Music. Inf. Retr. 3(1): 98-110 (2020) - [j34]Hendrik Schreiber, Julián Urbano, Meinard Müller:
Music Tempo Estimation: Are We Done Yet? Trans. Int. Soc. Music. Inf. Retr. 3(1): 111 (2020) - [j33]Frank Zalkow, Stefan Balke, Vlora Arifi-Müller, Meinard Müller:
MTD: A Multimodal Dataset of Musical Themes for MIR Research. Trans. Int. Soc. Music. Inf. Retr. 3(1): 180-192 (2020) - [c156]Alessandro Ilic Mezza, Emanuël Anco Peter Habets, Meinard Müller, Augusto Sarti:
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching. EUSIPCO 2020: 11-15 - [c155]Hendrik Schreiber, Christof Weiß, Meinard Müller:
Local Key Estimation In Classical Music Recordings: A Cross-Version Study on Schubert's Winterreise. ICASSP 2020: 501-505 - [c154]Frank Zalkow, Meinard Müller:
Using Weakly Aligned Score-Audio Pairs to Train Deep Chroma Models for Cross-Modal Music Retrieval. ISMIR 2020: 184-191 - [c153]Christof Weiss, Stephanie Klauk, Mark Gotham, Meinard Müller, Rainer Kleinertz:
Discourse not Dualism: An Interdisciplinary Dialogue on Sonata Form in Beethoven's Early Piano Sonatas. ISMIR 2020: 199-206 - [c152]Michael Krause, Frank Zalkow, Julia Zalkow, Christof Weiss, Meinard Müller:
Classifying Leitmotifs in Recordings of Operas by Richard Wagner. ISMIR 2020: 473-480 - [c151]Hendrik Schreiber, Frank Zalkow, Meinard Müller:
Modeling and Estimating Local Tempo: A Case Study on Chopin's Mazurkas. ISMIR 2020: 773-779 - [c150]Alessandro Ilic Mezza, Emanuël A. P. Habets, Meinard Müller, Augusto Sarti:
Feature Projection-Based Unsupervised Domain Adaptation for Acoustic Scene Classification. MLSP 2020: 1-6 - [d5]Christof Weiß, Frank Zalkow, Vlora Arifi-Müller, Meinard Müller, Hendrik Vincent Koops, Anja Volk, Harald G. Grohganz:
Schubert Winterreise Dataset. Version 1.0. Zenodo, 2020 [all versions] - [d4]Christof Weiß, Frank Zalkow, Vlora Arifi-Müller, Meinard Müller, Hendrik Vincent Koops, Anja Volk, Harald G. Grohganz:
Schubert Winterreise Dataset. Version 1.1. Zenodo, 2020 [all versions] - [d3]Christof Weiß, Frank Zalkow, Vlora Arifi-Müller, Meinard Müller, Hendrik Vincent Koops, Anja Volk, Harald G. Grohganz:
Schubert Winterreise Dataset. Version 1.2. Zenodo, 2020 [all versions] - [i11]Thitaree Tanprasert, Teerapat Jenrungrot, Meinard Müller, T. J. Tsai:
MIDI-Sheet Music Alignment Using Bootleg Score Synthesis. CoRR abs/2004.10345 (2020) - [i10]Alessandro Ilic Mezza, Emanuël Anco Peter Habets, Meinard Müller, Augusto Sarti:
Unsupervised Domain Adaptation for Acoustic Scene Classification Using Band-Wise Statistics Matching. CoRR abs/2005.00145 (2020)
2010 – 2019
- 2019
- [j32]Meinard Müller, Bryan Pardo, Gautham J. Mysore, Vesa Välimäki:
Recent Advances in Music Signal Processing [From the Guest Editors]. IEEE Signal Process. Mag. 36(1): 17-19 (2019) - [j31]Meinard Müller, Andreas Arzt, Stefan Balke, Matthias Dorfer, Gerhard Widmer:
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies. IEEE Signal Process. Mag. 36(1): 52-62 (2019) - [c149]Frank Zalkow, Stefan Balke, Meinard Müller:
Evaluating Salience Representations for Cross-modal Retrieval of Western Classical Music Recordings. ICASSP 2019: 331-335 - [c148]Christof Weiß, Fabian Brand, Meinard Müller:
Mid-level Chord Transition Features for Musical Style Analysis. ICASSP 2019: 341-345 - [c147]Jakob Abeßer, Meinard Müller:
Fundamental Frequency Contour Classification: A Comparison between Hand-crafted and CNN-based Features. ICASSP 2019: 486-490 - [c146]Thitaree Tanprasert, Teerapat Jenrungrot, Meinard Müller, Timothy Tsai:
MIDI-Sheet Music Alignment Using Bootleg Score Synthesis. ISMIR 2019: 91-98 - [c145]Jonathan Driedger, Hendrik Schreiber, W. Bas de Haas, Meinard Müller:
Towards Automatically Correcting Tapped Beat Annotations for Music Recordings. ISMIR 2019: 200-207 - [c144]Christof Weiss, Sebastian J. Schlecht, Sebastian Rosenzweig, Meinard Müller:
Towards Measuring Intonation Quality of Choir Recordings: A Case Study on Bruckner's Locus Iste. ISMIR 2019: 276-283 - [c143]Sebastian Rosenzweig, Frank Scherbaum, Meinard Müller:
Detecting Stable Regions in Frequency Trajectories for Tonal Analysis of Traditional Georgian Vocal Music. ISMIR 2019: 352-359 - [c142]Meinard Müller, Frank Zalkow:
FMP Notebooks: Educational Material for Teaching and Learning Fundamentals of Music Processing. ISMIR 2019: 573-580 - [c141]Michael Taenzer, Jakob Abeßer, Stylianos I. Mimilakis, Christof Weiss, Meinard Müller:
Investigating CNN-based Instrument Family Recognition for Western Classical Music Recordings. ISMIR 2019: 612-619 - [c140]Stylianos I. Mimilakis, Christof Weiss, Vlora Arifi-Müller, Jakob Abeßer, Meinard Müller:
Cross-version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning. PKDD/ECML Workshops (2) 2019: 429-436 - [i9]Meinard Müller, Andreas Arzt, Stefan Balke, Matthias Dorfer, Gerhard Widmer:
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies. CoRR abs/1902.04397 (2019) - [i8]Hendrik Schreiber, Meinard Müller:
Musical Tempo and Key Estimation using Convolutional Neural Networks with Directional Filters. CoRR abs/1903.10839 (2019) - [i7]Meinard Müller, Emilia Gómez, Yi-Hsuan Yang:
Computational Methods for Melody and Voice Processing in Music Recordings (Dagstuhl Seminar 19052). Dagstuhl Reports 9(1): 125-177 (2019) - 2018
- [j30]Stefan Balke, Christian Dittmar, Jakob Abeßer, Klaus Frieler, Martin Pfleiderer, Meinard Müller:
Bridging the Gap: Enriching YouTube Videos with Jazz Music Annotations. Frontiers Digit. Humanit. 5: 1 (2018) - [j29]Nooshin Haji Ghassemi, Julius Hannink, Christine F. Martindale, Heiko Gassner, Meinard Müller, Jochen Klucken, Björn M. Eskofier:
Segmentation of Gait Sequences in Sensor-Based Movement Analysis: A Comparison of Methods in Parkinson's Disease. Sensors 18(1): 145 (2018) - [j28]Chih-Wei Wu, Christian Dittmar, Carl Southall, Richard Vogl, Gerhard Widmer, Jason Hockman, Meinard Müller, Alexander Lerch:
A Review of Automatic Drum Transcription. IEEE ACM Trans. Audio Speech Lang. Process. 26(9): 1457-1483 (2018) - [c139]Christian Dittmar, Patricio López-Serrano, Meinard Müller:
Unifying Local and Global Methods for Harmonic-Percussive Source Separation. ICASSP 2018: 176-180 - [c138]Hendrik Schreiber, Meinard Müller:
A Single-Step Approach to Musical Tempo Estimation Using a Convolutional Neural Network. ISMIR 2018: 98-105 - [c137]Jakob Abeßer, Stefan Balke, Meinard Müller:
Improving Bass Saliency Estimation Using Transfer Learning and Label Propagation. ISMIR 2018: 306-312 - [c136]Hendrik Schreiber, Meinard Müller:
A Crowdsourced Experiment for Tempo Estimation of Electronic Dance Music. ISMIR 2018: 409-415 - [c135]Christof Weiss, Stefan Balke, Jakob Abeßer, Meinard Müller:
Computational Corpus Analysis: A Case Study on Jazz Solos. ISMIR 2018: 416-423 - [d2]Hendrik Schreiber, Meinard Müller:
Tempo-CNN Training Datasets (LMD Tempo, GiantSteps MTG Tempo, EBall). Zenodo, 2018 - [d1]Hendrik Schreiber, Meinard Müller:
New crowdsourced annotations for the GiantSteps Tempo dataset. Zenodo, 2018 - 2017
- [j27]T. J. Tsai, Thomas Prätzlich, Meinard Müller:
Known-Artist Live Song Identification Using Audio Hashprints. IEEE Trans. Multim. 19(7): 1569-1582 (2017) - [c134]Patricio López-Serrano, Christian Dittmar, Meinard Müller:
Finding Drum Breaks in Digital Music Recordings. CMMR 2017: 111-122 - [c133]Christine F. Martindale, Martin Strauss, Heiko Gassner, Julia List, Meinard Müller, Jochen Klucken, Zacharias Kohl, Björn M. Eskofier:
Segmentation of gait sequences using inertial sensor data in hereditary spastic paraplegia. EMBC 2017: 1266-1269 - [c132]Meinard Müller, Christian Dittmar:
Workshop WS01 "Musik trifft Informatik". GI-Jahrestagung 2017: 47 - [c131]Stefan Balke, Paul Bießmann, Sebastian Trump, Meinard Müller:
Konzeption einer webbasierten Benutzerschnittstelle zur Unterstützung des Jazz-Piano Unterrichts. GI-Jahrestagung 2017: 61-73 - [c130]Stefan Balke, Manuel Hiemer, Peter K. Schwab, Vlora Arifi-Müller, Klaus Meyer-Wegener, Meinard Müller:
Die Oper als Multimediaszenario. GI-Jahrestagung 2017: 75-86 - [c129]Frank Scherbaum, Meinard Müller, Sebastian Rosenzweig:
Rechnergestützte Musikethnologie am Beispiel historischer Aufnahmen mehrstimmiger georgischer Vokalmusik. GI-Jahrestagung 2017: 163-175 - [c128]Christof Weiß, Frank Zalkow, Meinard Müller, Stephanie Klauk, Rainer Kleinertz:
Versionsübergreifende Visualisierung harmonischer Verläufe. GI-Jahrestagung 2017: 205-217 - [c127]Meinard Müller, Stefan Balke, Christof Weiß:
Tutorial TUT01 "Automatisierte Methoden der Musikverarbeitung". GI-Jahrestagung 2017: 2583-2584 - [c126]Stefan Balke, Christian Dittmar, Jakob Abeßer, Meinard Müller:
Data-driven solo voice enhancement for jazz music retrieval. ICASSP 2017: 196-200 - [c125]T. J. Tsai, Steven K. Tjoa, Meinard Müller:
Make Your Own Accompaniment: Adapting Full-Mix Recordings to Match Solo-Only User Recordings. ISMIR 2017: 79-86 - [c124]Hendrik Schreiber, Meinard Müller:
A Post-Processing Procedure for Improving Music Tempo Estimates Using Supervised Learning. ISMIR 2017: 235-242 - [c123]Frank Zalkow, Christof Weiß, Meinard Müller:
Exploring Tonal-Dramatic Relationships in Richard Wagner's Ring Cycle. ISMIR 2017: 642-648 - [c122]Jakob Abeßer, Stefan Balke, Klaus Frieler, Martin Pfleiderer, Meinard Müller:
Deep Learning for Jazz Walking Bass Transcription. Semantic Audio 2017 - [c121]Patricio López-Serrano, Christian Dittmar, Meinard Müller:
Mid-Level Audio Features Based on Cascaded Harmonic-Residual-Percussive Separation. Semantic Audio 2017 - [c120]Meinard Müller, Sebastian Rosenzweig, Jonathan Driedger, Frank Scherbaum:
Interactive Fundamental Frequency Estimation with Applications to Ethnomusicological Research. Semantic Audio 2017 - [c119]Frank Zalkow, Christof Weiß, Thomas Prätzlich, Vlora Arifi-Müller, Meinard Müller:
A Multi-Version Approach for Transferring Measure Annotations between Music Recordings. Semantic Audio 2017 - [e7]Christian Dittmar, Jakob Abeßer, Meinard Müller:
AES International Conference Semantic Audio 2017, Erlangen, Germany, June 22-24, 2017. Audio Engineering Society 2017, ISBN 978-1-942220-15-2 [contents] - 2016
- [j26]Christian Dittmar, Meinard Müller:
Reverse Engineering the Amen Break - Score-Informed Separation and Restoration Applied to Drum Recordings. IEEE ACM Trans. Audio Speech Lang. Process. 24(9): 1535-1547 (2016) - [c118]Christian Dittmar, Jonathan Driedger, Meinard Müller, Jouni Paulus:
An experimental approach to generalized Wiener filtering in music source separation. EUSIPCO 2016: 1743-1747 - [c117]Thomas Prätzlich, Meinard Müller:
Triple-based analysis of music alignments without the need of ground-truth annotations. ICASSP 2016: 266-270 - [c116]Stefan Balke, Vlora Arifi-Müller, Lukas Lamprecht, Meinard Müller:
Retrieving audio recordings using musical themes. ICASSP 2016: 281-285 - [c115]Richard Fug, Andreas Niedermeier, Jonathan Driedger, Sascha Disch, Meinard Müller:
Harmonic-percussive-residual sound separation using the structure tensor on spectrograms. ICASSP 2016: 445-449 - [c114]Thomas Prätzlich, Jonathan Driedger, Meinard Müller:
Memory-restricted multiscale dynamic time warping. ICASSP 2016: 569-573 - [c113]Sebastian Ewert, Siying Wang, Meinard Müller, Mark B. Sandler:
Score-Informed Identification of Missing and Extra Notes in Piano Recordings. ISMIR 2016: 30-36 - [c112]Jonathan Driedger, Stefan Balke, Sebastian Ewert, Meinard Müller:
Template-Based Vibrato Analysis in Complex Music Signals. ISMIR 2016: 239-245 - [c111]Stefan Balke, Jonathan Driedger, Jakob Abeßer, Christian Dittmar, Meinard Müller:
Towards Evaluating Multiple Predominant Melody Annotations in Jazz Recordings. ISMIR 2016: 246-252 - [c110]Sebastian Stober, Thomas Prätzlich, Meinard Müller:
Brain Beats: Tempo Extraction from EEG Data. ISMIR 2016: 276-282 - [c109]T. J. Tsai, Thomas Prätzlich, Meinard Müller:
Known Artist Live Song ID: A Hashprint Approach. ISMIR 2016: 427-433 - [c108]Patricio López-Serrano, Christian Dittmar, Jonathan Driedger, Meinard Müller:
Towards Modeling and Decomposing Loop-Based Electronic Music. ISMIR 2016: 502-508 - [c107]Christof Weiß, Vlora Arifi-Müller, Thomas Prätzlich, Rainer Kleinertz, Meinard Müller:
Analyzing Measure Annotations for Western Classical Music Recordings. ISMIR 2016: 517-523 - [i6]Meinard Müller, Elaine Chew, Juan Pablo Bello:
Computational Music Structure Analysis (Dagstuhl Seminar 16092). Dagstuhl Reports 6(2): 147-190 (2016) - 2015
- [b3]Meinard Müller:
Fundamentals of Music Processing - Audio, Analysis, Algorithms, Applications. Springer 2015, ISBN 978-3-319-21944-8, pp. 1-480 - [j25]Daniel Röwenstrunk, Thomas Prätzlich, Thomas Betzwieser, Meinard Müller, Gerd Szwillus, Joachim Veit:
Das Gesamtkunstwerk Oper aus Datensicht - Aspekte des Umgangs mit einer heterogenen Datenlage im BMBF-Projekt "Freischütz Digital". Datenbank-Spektrum 15(1): 65-72 (2015) - [c106]Benjamin Bohl, Thomas Prätzlich, Meinard Müller, Joachim Veit:
Der Gang durch die Domänen zur Erfassung, Aufbereitung und Präsentation von Audiodaten im BMBF-Projekt "Freischütz Digital". DHd 2015 - [c105]Thimmaiah Kuppanda, Norberto Degara, David Worrall, Balaji Thoshkahna, Meinard Müller:
Virtual reality platform for sonification evaluation. ICAD 2015: 117-124 - [c104]Jonathan Driedger, Meinard Müller:
Extracting singing voice from music recordings by cascading audio decomposition techniques. ICASSP 2015: 126-130 - [c103]Nanzhu Jiang, Meinard Müller:
Estimating double thumbnails for music recordings. ICASSP 2015: 146-150 - [c102]Balaji Thoshkahna, Meinard Müller, Venkatesh Kulkarni, Nanzhu Jiang:
Novel audio features for capturing tempo salience in music recordings. ICASSP 2015: 181-185 - [c101]Thomas Prätzlich, Rachel M. Bittner, Antoine Liutkus, Meinard Müller:
Kernel Additive Modeling for interference reduction in multi-channel music recordings. ICASSP 2015: 584-588 - [c100]Christof Weiss, Meinard Müller:
Tonal complexity features for style classification of classical music. ICASSP 2015: 688-692 - [c99]Stefan Balke, Sanu Pulimootil Achankunju, Meinard Müller:
Matching Musical Themes based on noisy OCR and OMR input. ICASSP 2015: 703-707 - [c98]Christian Dittmar, Martin Pfleiderer, Meinard Müller:
Automated Estimation of Ride Cymbal Swing Ratios in Jazz Recordings. ISMIR 2015: 271-277 - [c97]Jonathan Driedger, Thomas Prätzlich, Meinard Müller:
Let it Bee - Towards NMF-Inspired Audio Mosaicing. ISMIR 2015: 350-356 - [c96]Christian Dittmar, Bernhard Lehner, Thomas Prätzlich, Meinard Müller, Gerhard Widmer:
Cross-Version Singing Voice Detection in Classical Opera Recordings. ISMIR 2015: 618-624 - [c95]Christian Dittmar, Jonathan Driedger, Meinard Müller:
A separate and restore approach to score-informed music decomposition. WASPAA 2015: 1-5 - [e6]Meinard Müller, Frans Wiering:
Proceedings of the 16th International Society for Music Information Retrieval Conference, ISMIR 2015, Málaga, Spain, October 26-30, 2015. 2015, ISBN 978-84-606-8853-2 [contents] - 2014
- [j24]Jonathan Driedger, Meinard Müller, Sebastian Ewert:
Improving Time-Scale Modification of Music Signals Using Harmonic-Percussive Separation. IEEE Signal Process. Lett. 21(1): 105-109 (2014) - [j23]Sebastian Ewert, Bryan Pardo, Meinard Müller, Mark D. Plumbley:
Score-Informed Source Separation for Musical Audio Recordings: An overview. IEEE Signal Process. Mag. 31(3): 116-124 (2014) - [j22]Joan Serrà, Meinard Müller, Peter Grosche, Josep Lluís Arcos:
Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity. IEEE Trans. Multim. 16(5): 1229-1240 (2014) - [j21]Hendrik Schreiber, Meinard Müller:
Accelerating Index-Based Audio Identification. IEEE Trans. Multim. 16(6): 1654-1664 (2014) - [c94]Jonathan Driedger, Meinard Müller:
TSM Toolbox: MATLAB Implementations of Time-Scale Modification Algorithms. DAFx 2014: 249-256 - [c93]Hendrik Schreiber, Meinard Müller:
Exploiting global features for tempo octave correction. ICASSP 2014: 639-643 - [c92]Nanzhu Jiang, Meinard Müller:
Towards efficient audio thumbnailing. ICASSP 2014: 5192-5196 - [c91]Harald Grohganz, Michael Clausen, Meinard Müller:
Estimating Musical Time Information from Performed MIDI Files. ISMIR 2014: 35-40 - [c90]Thomas Prätzlich, Meinard Müller:
Frame-Level Audio Segmentation for Abridged Musical Works. ISMIR 2014: 307-312 - [c89]Jonathan Driedger, Meinard Müller, Sascha Disch:
Extending Harmonic-Percussive Separation of Audio Signals. ISMIR 2014: 611-616 - [c88]Meinard Müller, Nanzhu Jiang, Harald Grohganz:
SM Toolbox: MATLAB Implementations for Computing and Enhancing Similarity Matrices. Semantic Audio 2014 - [e5]Sascha Disch, Jürgen Herre, Rudolf Rabenstein, Bernd Edler, Meinard Müller, Stefan Turowski:
Proceedings of the 17th International Conference on Digital Audio Effects, DAFx-14, Erlangen, Germany, September 1-5, 2014. 2014, ISBN 978-3-00-046825-4 [contents] - 2013
- [j20]Meinard Müller, Nanzhu Jiang, Peter Grosche:
A Robust Fitness Measure for Capturing Repetitions in Music Recordings With Applications to Audio Thumbnailing. IEEE Trans. Speech Audio Process. 21(3): 531-543 (2013) - [c87]Thomas Helten, Andreas Baak, Gaurav Bharaj, Meinard Müller, Hans-Peter Seidel, Christian Theobalt:
Personalization and Evaluation of a Real-Time Depth-Based Full Body Tracker. 3DV 2013: 279-286 - [c86]Thomas Helten, Andreas Baak, Meinard Müller, Christian Theobalt:
Full-Body Human Motion Capture from Monocular Depth Images. Time-of-Flight and Depth Imaging 2013: 188-206 - [c85]Meinard Müller, Jonathan Driedger, Sebastian Ewert:
Notentext-Informierte Quellentrennung für Musiksignale. GI-Jahrestagung 2013: 2928-2942 - [c84]Meinard Müller, Nanzhu Jiang, Harald Grohganz, Michael Clausen:
Strukturanalyse für Musiksignale. GI-Jahrestagung 2013: 2943-2957 - [c83]Sebastian Ewert, Meinard Müller, Mark B. Sandler:
Efficient data adaption for musical source separation methods based on parametric models. ICASSP 2013: 46-50 - [c82]Thomas Helten, Meinard Müller, Hans-Peter Seidel, Christian Theobalt:
Real-Time Body Tracking with One Depth Camera and Inertial Sensors. ICCV 2013: 1105-1112 - [c81]Harald Grohganz, Michael Clausen, Nanzhu Jiang, Meinard Müller:
Converting Path Structures Into Block Structures Using Eigenvalue Decompositions of Self-Similarity Matrices. ISMIR 2013: 209-214 - [c80]Thomas Prätzlich, Meinard Müller:
Freischütz Digital: A Case Study for Reference-Based Audio Segmentation for Operas. ISMIR 2013: 589-594 - [c79]Nanzhu Jiang, Meinard Müller:
Automated Methods for Analyzing Music Recordings in Sonata Form. ISMIR 2013: 595-600 - [c78]Jonathan Driedger, Harald Grohganz, Thomas Prätzlich, Sebastian Ewert, Meinard Müller:
Score-informed audio decomposition and applications. ACM Multimedia 2013: 541-544 - [c77]Peter Grosche, Meinard Müller, Joan Serrà:
Towards cover group thumbnailing. ACM Multimedia 2013: 613-616 - [c76]Meinard Müller, Thomas Prätzlich, Benjamin Bohl, Joachim Veit:
Freischutz digital: A multimodal scenario for informed music processing. WIAMIS 2013: 1-4 - [p6]Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel, Christian Theobalt:
A Data-Driven Approach for Real-Time Full Body Pose Reconstruction from a Depth Camera. Consumer Depth Cameras for Computer Vision 2013: 71-98 - [i5]Meinard Müller, Shrikanth S. Narayanan, Björn W. Schuller:
Computational Audio Analysis (Dagstuhl Seminar 13451). Dagstuhl Reports 3(11): 1-28 (2013) - 2012
- [j19]David Damm, Christian Fremerey, Verena Thomas, Michael Clausen, Frank Kurth, Meinard Müller:
A digital library framework for heterogeneous music collections: from document acquisition to cross-modal interaction. Int. J. Digit. Libr. 12(2-3): 53-71 (2012) - [j18]Sebastian Ewert, Meinard Müller, Verena Konz, Daniel Müllensiefen, Geraint A. Wiggins:
Towards Cross-Version Harmonic Analysis of Music. IEEE Trans. Multim. 14(3-2): 770-782 (2012) - [c75]Meinard Müller, Peter Grosche:
Automated Segmentation of Folk Song Field Recordings. ITG Conference on Speech Communication 2012: 1-4 - [c74]Joan Serrà, Meinard Müller, Peter Grosche, Josep Lluís Arcos:
Unsupervised Detection of Music Boundaries by Time Series Structure Features. AAAI 2012: 1613-1619 - [c73]Peter Grosche, Meinard Müller:
Toward musically-motivated audio fingerprints. ICASSP 2012: 93-96 - [c72]Sebastian Ewert, Meinard Müller:
Using score-informed constraints for NMF-based source separation. ICASSP 2012: 129-132 - [c71]Peter Grosche, Meinard Müller:
Toward characteristic audio shingles for efficient cross-version music retrieval. ICASSP 2012: 473-476 - [c70]Verena Thomas, David Damm, Christian Fremerey, Michael Clausen, Frank Kurth, Meinard Müller:
Probado Music: a Multimodal Online Music Library. ICMC 2012 - [c69]Peter Grosche, Joan Serrà, Meinard Müller, Josep Lluís Arcos:
Structure-Based Audio Fingerprinting for Music Retrieval. ISMIR 2012: 55-60 - [c68]Meinard Müller, Nanzhu Jiang:
A Scape Plot Representation for Visualizing Repetitive Structures of Music Recordings. ISMIR 2012: 97-102 - [c67]Meinard Müller, Thomas Prätzlich, Jonathan Driedger:
A Cross-version Approach for Stabilizing Tempo-based Novelty Detection. ISMIR 2012: 427-432 - [c66]Cynthia C. S. Liem, Meinard Müller, Steven K. Tjoa, George Tzanetakis:
2nd international ACM workshop on music information retrieval with user-centered and multimodal strategies (MIRUM). ACM Multimedia 2012: 1509-1510 - [p5]Verena Thomas, Christian Fremerey, Meinard Müller, Michael Clausen:
Linking Sheet Music and Audio - Challenges and New Approaches. Multimodal Music Processing 2012: 1-22 - [p4]Verena Konz, Meinard Müller:
A Cross-Version Approach for Harmonic Analysis of Music Recordings. Multimodal Music Processing 2012: 53-72 - [p3]Sebastian Ewert, Meinard Müller:
Score-Informed Source Separation for Music Signals. Multimodal Music Processing 2012: 73-94 - [p2]Peter Grosche, Meinard Müller, Joan Serrà:
Audio Content-Based Music Retrieval. Multimodal Music Processing 2012: 157-174 - [p1]Meinard Müller, Jonathan Driedger:
Data-Driven Sound Track Generation. Multimodal Music Processing 2012: 175-194 - [e4]Meinard Müller, Masataka Goto, Markus Schedl:
Multimodal Music Processing. Dagstuhl Follow-Ups 3, Schloss Dagstuhl - Leibniz-Zentrum fuer Informatik, Germany 2012, ISBN 978-3-939897-37-8 [contents] - [e3]Fabien Gouyon, Perfecto Herrera, Luis Gustavo Martins, Meinard Müller:
Proceedings of the 13th International Society for Music Information Retrieval Conference, ISMIR 2012, Mosteiro S.Bento Da Vitória, Porto, Portugal, October 8-12, 2012. FEUP Edições 2012, ISBN 978-972-752-144-9 [contents] - [e2]Cynthia C. S. Liem, Meinard Müller, Steven K. Tjoa, George Tzanetakis:
Proceedings of the second international ACM workshop on Music information retrieval with user-centered and multimodal strategies, MIRUM '12, Nara, Japan, October 29 - November 02, 2012. 2012, ISBN 978-1-4503-1591-3 [contents] - 2011
- [j17]Meinard Müller, Daniel P. W. Ellis, Anssi Klapuri, Gaël Richard, Shigeki Sagayama:
Introduction to the Special Issue on Music Signal Processing. IEEE J. Sel. Top. Signal Process. 5(6): 1085-1087 (2011) - [j16]Meinard Müller, Daniel P. W. Ellis, Anssi Klapuri, Gaël Richard:
Signal Processing for Music Analysis. IEEE J. Sel. Top. Signal Process. 5(6): 1088-1110 (2011) - [j15]Peter Grosche, Meinard Müller:
Extracting Predominant Local Pulse Information From Music Recordings. IEEE Trans. Speech Audio Process. 19(6): 1688-1701 (2011) - [j14]Jochen Tautges, Arno Zinke, Björn Krüger, Jan Baumann, Andreas Weber, Thomas Helten, Meinard Müller, Hans-Peter Seidel, Bernd Eberhardt:
Motion reconstruction using sparse accelerometer data. ACM Trans. Graph. 30(3): 18:1-18:12 (2011) - [c65]Thomas Helten, Meinard Müller, Jochen Tautges, Andreas Weber, Hans-Peter Seidel:
Towards Cross-Modal Comparison of Human Motion Data. DAGM-Symposium 2011: 61-70 - [c64]Sebastian Ewert, Meinard Müller:
Estimating note intensities in music recordings. ICASSP 2011: 385-388 - [c63]Andreas Baak, Meinard Müller, Gaurav Bharaj, Hans-Peter Seidel, Christian Theobalt:
A data-driven approach for real-time full body pose reconstruction from a depth camera. ICCV 2011: 1092-1099 - [c62]Gerard Pons-Moll, Andreas Baak, Juergen Gall, Laura Leal-Taixé, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn:
Outdoor human motion capture using inverse kinematics and von mises-fisher sampling. ICCV 2011: 1243-1250 - [c61]Meinard Müller, Verena Konz, Nanzhu Jiang, Zhe Zuo:
A Multi-perspective user interface for music signal analysis. ICMC 2011 - [c60]Hendrik Schreiber, Peter Grosche, Meinard Müller:
A Re-ordering Strategy for Accelerating Index-based Audio Fingerprinting. ISMIR 2011: 127-132 - [c59]Meinard Müller, Sebastian Ewert:
Chroma Toolbox: Matlab Implementations for Extracting Variants of Chroma-Based Audio Features. ISMIR 2011: 215-220 - [c58]Sebastian Ewert, Meinard Müller:
Score-Informed Voice Separation For Piano Recordings. ISMIR 2011: 245-250 - [c57]Meinard Müller, Peter Grosche, Nanzhu Jiang:
A Segment-Based Fitness Measure for Capturing Repetitive Structures of Music Recordings. ISMIR 2011: 615-620 - [c56]Cynthia C. S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis, Alan Hanjalic:
The need for music information retrieval with user-centered and multimodal strategies. MIRUM 2011: 1-6 - [c55]Cynthia C. S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis:
1st international ACM workshop on music information retrieval with user-centered and multimodal strategies (MIRUM). ACM Multimedia 2011: 603-604 - [c54]Nanzhu Jiang, Peter Grosche, Verena Konz, Meinard Müller:
Analyzing Chroma Feature Types for Automated Chord Recognition. Semantic Audio 2011 - [c53]Meinard Müller:
New Developments in Music Information Retrieval. Semantic Audio 2011 - [e1]Cynthia C. S. Liem, Meinard Müller, Douglas Eck, George Tzanetakis:
Proceedings of the 1st international ACM workshop on Music information retrieval with user-centered and multimodal strategies, Scottsdale, AZ, USA, November 28 - December 01, 2011. ACM 2011, ISBN 978-1-4503-0986-8 [contents] - [i4]Meinard Müller, Masataka Goto, Simon Dixon:
Multimodal Music Processing (Dagstuhl Seminar 11041). Dagstuhl Reports 1(1): 68-101 (2011) - 2010
- [j13]Meinard Müller, Sebastian Ewert:
Towards Timbre-Invariant Audio Features for Harmony-Based Music. IEEE Trans. Speech Audio Process. 18(3): 649-662 (2010) - [c52]Meinard Müller:
Neue Entwicklungen im Bereich des Music Information Retrieval. Sprachkommunikation 2010: 1-4 - [c51]Verena Konz, Meinard Müller:
Introducing the Interpretation Switcher Interface to Music Education. CSEDU (1) 2010: 135-140 - [c50]Gerard Pons-Moll, Andreas Baak, Thomas Helten, Meinard Müller, Hans-Peter Seidel, Bodo Rosenhahn:
Multisensor-fusion for 3D full-body human motion capture. CVPR 2010: 663-670 - [c49]Andreas Baak, Thomas Helten, Meinard Müller, Gerard Pons-Moll, Bodo Rosenhahn, Hans-Peter Seidel:
Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors. ECCV Workshops (1) 2010: 139-152 - [c48]Dirk von Zeddelmann, Frank Kurth, Meinard Müller:
Perceptual audio features for unsupervised key-phrase detection. ICASSP 2010: 257-260 - [c47]Peter Grosche, Meinard Müller, Frank Kurth:
Cyclic tempogram - A mid-level tempo representation for musicsignals. ICASSP 2010: 5522-5525 - [c46]Verena Konz, Meinard Müller, Sebastian Ewert:
A Multi-Perspective Evaluation Framework for Chord Recognition. ISMIR 2010: 9-14 - [c45]Christian Fremerey, Meinard Müller, Michael Clausen:
Handling Repeats and Jumps in Score-performance Synchronization. ISMIR 2010: 243-248 - [c44]Jouni Paulus, Meinard Müller, Anssi Klapuri:
State of the Art Report: Audio-Based Music Structure Analysis. ISMIR 2010: 625-636 - [c43]Peter Grosche, Meinard Müller, Craig Stuart Sapp:
What Makes Beat Tracking Difficult? A Case Study on Chopin Mazurkas. ISMIR 2010: 649-654 - [c42]Meinard Müller, Peter Grosche, Frans Wiering:
Automated analysis of performance variations in folk song recordings. Multimedia Information Retrieval 2010: 247-256
2000 – 2009
- 2009
- [c41]Sebastian Ewert, Meinard Müller, Roger B. Dannenberg:
Towards Reliable Partial Music Alignments Using Multiple Synchronization Strategies. Adaptive Multimedia Retrieval 2009: 35-48 - [c40]Meinard Müller:
Analysis and Retrieval Techniques for Motion and Music Data. Eurographics (Tutorials) 2009: 249-255 - [c39]Sebastian Ewert, Meinard Müller, Peter Grosche:
High resolution audio synchronization using chroma onset features. ICASSP 2009: 1869-1872 - [c38]Meinard Müller, Sebastian Ewert, Sebastian Kreuzer:
Making chroma features more robust to timbre changes. ICASSP 2009: 1877-1880 - [c37]Andreas Baak, Bodo Rosenhahn, Meinard Müller, Hans-Peter Seidel:
Stabilizing motion tracking using retrieved motion priors. ICCV 2009: 1428-1435 - [c36]Meinard Müller, Verena Konz, Andi Scharfstein, Sebastian Ewert, Michael Clausen:
Towards Automated Extraction of Tempo Parameters from Expressive Music Recordings. ISMIR 2009: 69-74 - [c35]Peter Grosche, Meinard Müller:
A Mid-Level Representation for Capturing Dominant Tempo and Pulse Information in Music Recordings. ISMIR 2009: 189-194 - [c34]Christian Fremerey, Michael Clausen, Sebastian Ewert, Meinard Müller:
Sheet Music-Audio Identification. ISMIR 2009: 645-650 - [c33]Meinard Müller, Peter Grosche, Frans Wiering:
Robust Segmentation and Annotation of Folk Song Recordings. ISMIR 2009: 735-740 - [c32]Meinard Müller, Andreas Baak, Hans-Peter Seidel:
Efficient and robust annotation of motion capture data. Symposium on Computer Animation 2009: 17-26 - [c31]Peter Grosche, Meinard Müller:
Computing predominant local periodicity information in music recordings. WASPAA 2009: 33-36 - [i3]Sebastian Ewert, Meinard Müller, Daniel Müllensiefen, Michael Clausen, Geraint A. Wiggins:
Case Study "Beatles Songs" - What can be Learned from Unreliable Music Alignments? Knowledge Representation for Intelligent Music Processing 2009 - [i2]Christian Fremerey, Meinard Müller, Michael Clausen:
Towards Bridging the Gap between Sheet Music and Audio. Knowledge Representation for Intelligent Music Processing 2009 - [i1]Meinard Müller, Peter Grosche, Frans Wiering:
Towards Automated Processing of Folk Song Recordings. Knowledge Representation for Intelligent Music Processing 2009 - 2008
- [j12]Meinard Müller, Masakazu Jimbo:
Cyclic sequences of k-subsets with distinct consecutive unions. Discret. Math. 308(2-3): 457-464 (2008) - [j11]Björn Krüger, Jochen Tautges, Meinard Müller, Andreas Weber:
Multi-Mode Tensor Representation of Motion Data. J. Virtual Real. Broadcast. 5 (2008) - [j10]Frank Kurth, Meinard Müller:
Efficient Index-Based Audio Matching. IEEE Trans. Speech Audio Process. 16(2): 382-395 (2008) - [c30]Sebastian Ewert, Meinard Müller:
Refinement Strategies for Music Synchronization. CMMR 2008: 147-165 - [c29]Meinard Müller, Bastian Demuth, Bodo Rosenhahn:
An Evolutionary Approach for Learning Motion Class Patterns. DAGM-Symposium 2008: 365-374 - [c28]Frank Kurth, David Damm, Christian Fremerey, Meinard Müller, Michael Clausen:
A Framework for Managing Multimodal Digitized Music Collections. ECDL 2008: 334-345 - [c27]Meinard Müller, Daniel Appelt:
Path-constrained partial music synchronization. ICASSP 2008: 65-68 - [c26]David Damm, Christian Fremerey, Frank Kurth, Meinard Müller, Michael Clausen:
Multimodal presentation and browsing of music. ICMI 2008: 205-208 - [c25]Meinard Müller, Sebastian Ewert:
Joint Structure Analysis with Applications to Music Annotation and Synchronization. ISMIR 2008: 389-394 - [c24]Christian Fremerey, Meinard Müller, Frank Kurth, Michael Clausen:
Automatic Mapping of Scanned Sheet Music to Audio Recordings. ISMIR 2008: 413-418 - [c23]David Damm, Christian Fremerey, Frank Kurth, Meinard Müller, Michael Clausen:
SyncPlayer - Multimodale Wiedergabe, Navigation und Suche in heterogenen digitalen Musikkollektionen. LWA 2008: 13-20 - [c22]Andreas Baak, Meinard Müller, Hans-Peter Seidel:
An efficient algorithm for keyframe-based motion retrieval in the presence of temporal deformations. Multimedia Information Retrieval 2008: 451-458 - 2007
- [b2]Meinard Müller:
Information retrieval for music and motion. Springer 2007, pp. I-XV, 1-313 - [j9]Meinard Müller, Frank Kurth:
Towards Structural Analysis of Audio Recordings in the Presence of Musical Variations. EURASIP J. Adv. Signal Process. 2007 (2007) - [j8]Koji Momihara, Meinard Müller, Junya Satoh, Masakazu Jimbo:
Constant Weight Conflict-Avoiding Codes. SIAM J. Discret. Math. 21(4): 959-979 (2007) - [c21]Meinard Müller, Frank Kurth, David Damm, Christian Fremerey, Michael Clausen:
Lyrics-Based Audio Retrieval and Multimodal Navigation in Music Collections. ECDL 2007: 112-123 - [c20]Koji Momihara, Meinard Müller, Junya Satoh, Masakazu Jimbo:
Bounds and Constructions for Optimal Constant Weight Conflict-Avoiding Codes. ISIT 2007: 336-340 - [c19]Meinard Müller, Michael Clausen:
Transposition-Invariant Self-Similarity Matrices. ISMIR 2007: 47-50 - [c18]Christian Fremerey, Frank Kurth, Meinard Müller, Michael Clausen:
A Demonstration of the SyncPlayer System. ISMIR 2007: 131-132 - [c17]Frank Kurth, Meinard Müller, Christian Fremerey, Yoon-ha Chang, Michael Clausen:
Automated Synchronization of Scanned Sheet Music with Audio Recordings. ISMIR 2007: 261-266 - 2006
- [j7]Meinard Müller, Frank Kurth, Michael Clausen:
Aktuelle Aspekte des Music Information Retrieval. Datenbank-Spektrum 18: 24-32 (2006) - [c16]Meinard Müller, Tido Röder:
A Relational Approach to Content-based Analysis of Motion Capture Data. Human Motion 2006: 477-506 - [c15]Bastian Demuth, Tido Röder, Meinard Müller, Bernhard Eberhardt:
An Information Retrieval System for Motion Capture Data. ECIR 2006: 373-384 - [c14]Meinard Müller, Frank Kurth:
Enhancing Similarity Matrices for Music Audio Analysis. ICASSP (5) 2006: 9-12 - [c13]Frank Kurth, Thorsten Gehrmann, Meinard Müller:
The Cyclic Beat Spectrum: Tempo-Related Audio Features for Time-Scale Invariant Audio Identification. ISMIR 2006: 35-40 - [c12]Meinard Müller, Henning Mattes, Frank Kurth:
An Efficient Multiscale Approach to Audio Synchronization. ISMIR 2006: 192-197 - [c11]Meinard Müller, Tido Röder:
Motion templates for automatic classification and retrieval of motion capture data. Symposium on Computer Animation 2006: 137-146 - 2005
- [j6]Meinard Müller, Tomoko Adachi, Masakazu Jimbo:
Cluttered orderings for the complete bipartite graph. Discret. Appl. Math. 152(1-3): 213-228 (2005) - [j5]Meinard Müller, Tido Röder, Michael Clausen:
Efficient content-based retrieval of motion capture data. ACM Trans. Graph. 24(3): 677-685 (2005) - [c10]Meinard Müller, Frank Kurth, Michael Clausen:
Automatisierte Annotation von Audiodaten mittels Synchronisationstechniken. GI Jahrestagung (2) 2005: 53-57 - [c9]Michael Clausen, Frank Kurth, Meinard Müller:
Musikinformatik. GI Jahrestagung (2) 2005: 713-714 - [c8]Meinard Müller, Frank Kurth, Michael Clausen:
Audio Matching via Chroma-Based Statistical Features. ISMIR 2005: 288-295 - [c7]Frank Kurth, Meinard Müller, David Damm, Christian Fremerey, Andreas Ribbrock, Michael Clausen:
Syncplayer - An Advanced System for Multimodal Music Access. ISMIR 2005: 381-388 - 2004
- [j4]Meinard Müller, Michael Clausen:
DFT-based Word Normalization in Finite Supersolvable Groups. Appl. Algebra Eng. Commun. Comput. 15(3-4): 213-231 (2004) - [j3]Meinard Müller, Masakazu Jimbo:
Erasure-resilient codes from affine spaces. Discret. Appl. Math. 143(1-3): 292-297 (2004) - [j2]Meinard Müller, Masakazu Jimbo:
Consecutive positive detectable matrices and group testing for consecutive positives. Discret. Math. 279(1-3): 369-381 (2004) - [j1]Michael Clausen, Meinard Müller:
Generating fast Fourier transforms of solvable groups. J. Symb. Comput. 37(2): 137-156 (2004) - [c6]Vlora Arifi, Michael Clausen, Frank Kurth, Meinard Müller:
Score-PCM Music Synchronization Based on Extracted Score Parameters. CMMR 2004: 193-210 - [c5]Michael Clausen, Frank Kurth, Meinard Müller, Andreas Ribbrock:
Content-Based Retrieval in Digital Music Libraries. ECDL 2004: 292-303 - [c4]Frank Kurth, Meinard Müller, Andreas Ribbrock, Tido Röder, David Damm, Christian Fremerey:
A Prototypical Service for Real-Time Access to Local Context-Based Music Information. ISMIR 2004 - [c3]Meinard Müller, Frank Kurth, Tido Röder:
Towards an Efficient Algorithm for Automatic Score-to-Audio Synchronization. ISMIR 2004 - 2003
- [c2]Vlora Arifi, Michael Clausen, Frank Kurth, Meinard Müller:
Automatic synchronization of music data in score-, MIDI- and PCM-format. ISMIR 2003 - 2001
- [b1]Meinard Müller:
Beiträge zur Algorithmik verallgemeinerter diskreter Fouriertransformationen. Universität Bonn, 2001, pp. I-VIII, 1-124
1990 – 1999
- 1999
- [c1]Michael Clausen, Meinard Müller:
A Fast Program Generator of Fast Fourier Transforms. AAECC 1999: 29-42
Coauthor Index
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