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ORCIDMeinard Müller
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- affiliation: Audio Labs Erlangen, Germany
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2020 – today
- 2024
[j61]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)- [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. Zenodo, 2022 - [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. Zenodo, 2021 - [d8]Meinard Müller, Sebastian Rosenzweig:
meinardmueller/PCP: v1.1.1. Zenodo, 2021 - [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. Zenodo, 2021 - [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. Zenodo, 2020 - [d4]Christof Weiß, Frank Zalkow, Vlora Arifi-Müller, Meinard Müller, Hendrik Vincent Koops, Anja Volk, Harald G. Grohganz:
Schubert Winterreise Dataset. Zenodo, 2020 - [d3]Christof Weiß, Frank Zalkow, Vlora Arifi-Müller, Meinard Müller, Hendrik Vincent Koops, Anja Volk, Harald G. Grohganz:
Schubert Winterreise Dataset. Zenodo, 2020 - [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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Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
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Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
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Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-11-07 21:28 CET by the dblp team
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