| High resolution audio synchronization using chroma onset features S Ewert, M Müller, P Grosche Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009 | 242 | 2009 |
| Cyclic tempogram—a mid-level tempo representation for musicsignals P Grosche, M Müller, F Kurth 2010 IEEE International Conference on Acoustics, Speech and Signal …, 2010 | 155 | 2010 |
| A cross-evaluated database of measured and simulated HRTFs including 3D head meshes, anthropometric features, and headphone impulse responses F Brinkmann, M Dinakaran, R Pelzer, P Grosche, D Voss, S Weinzierl Journal of the Audio Engineering Society 67 (9), 705-718, 2019 | 144 | 2019 |
| Extracting predominant local pulse information from music recordings P Grosche, M Muller IEEE Transactions on Audio, Speech, and Language Processing 19 (6), 1688-1701, 2010 | 140 | 2010 |
| Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity J Serrà, M Müller, P Grosche, JL Arcos IEEE TRANSACTIONS ON MULTIMEDIA 16 (5), 1229-1240, 2014 | 134 | 2014 |
| Audio content-based music retrieval P Grosche, M Müller, J Serra Schloss Dagstuhl–Leibniz-Zentrum für Informatik, 2012 | 115 | 2012 |
| Unsupervised detection of music boundaries by time series structure features J Serra, M Müller, P Grosche, JL Arcos Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 1613-1619, 2012 | 104 | 2012 |
| What Makes Beat Tracking Difficult? A Case Study on Chopin Mazurkas. P Grosche, M Müller, CS Sapp ISMIR, 649-654, 2010 | 89 | 2010 |
| Analyzing Chroma Feature Types for Automated Chord Recognition N Jiang, P Grosche, V Konz, M Müller Proc. of 42nd AES Conference, 2011 | 72 | 2011 |
| A robust fitness measure for capturing repetitions in music recordings with applications to audio thumbnailing M Muller, N Jiang, P Grosche IEEE Transactions on audio, speech, and language processing 21 (3), 531-543, 2012 | 57 | 2012 |
| Tempogram toolbox: Matlab implementations for tempo and pulse analysis of music recordings P Grosche, M Müller Proceedings of the 12th International Conference on Music Information …, 2011 | 56 | 2011 |
| A Segment-based Fitness Measure for Capturing Repetitive Structures of Music Recordings M Müller, P Grosche, N Jiang 12th International Conference on Music Information Retrieval, 615-620, 2011 | 47 | 2011 |
| A Mid-Level Representation for Capturing Dominant Tempo and Pulse Information in Music Recordings. P Grosche, M Müller ISMIR, 189-194, 2009 | 46 | 2009 |
| Sound signal processing apparatus and method for enhancing a sound signal P Grosche, K Helwani, C Schörkhuber, F Zotter, R Höldrich, M Frank US Patent 10,602,267, 2020 | 42 | 2020 |
| Toward characteristic audio shingles for efficient cross-version music retrieval P Grosche, M Müller Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International …, 2012 | 42 | 2012 |
| Structure-Based Audio Fingerprinting for Music Retrieval. P Grosche, J Serrà, M Müller, JL Arcos ISMIR, 55-60, 2012 | 37 | 2012 |
| Head-related transfer function recommendation based on perceptual similarities and anthropometric features R Pelzer, M Dinakaran, F Brinkmann, S Lepa, P Grosche, S Weinzierl The Journal of the Acoustical Society of America 148 (6), 3809-3817, 2020 | 35 | 2020 |
| Signal processing apparatus for enhancing a voice component within a multi-channel audio signal J GEIGER, P Grosche US Patent 10,210,883, 2019 | 34 | 2019 |
| Automated analysis of performance variations in folk song recordings M Müller, P Grosche, F Wiering Proceedings of the international conference on Multimedia information …, 2010 | 32 | 2010 |
| Robust Segmentation and Annotation of Folk Song Recordings. M Müller, P Grosche, F Wiering Proceedings of the International Society on Music Information Retrieval …, 2009 | 32 | 2009 |
Meinard MüllerInternational Audio Laboratories Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)Verified email at audiolabs-erlangen.de
