High resolution audio synchronization using chroma onset features S Ewert, M Müller, P Grosche Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009 | 220 | 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 | 132 | 2010 |
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 | 124 | 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 | 115 | 2014 |
Audio content-based music retrieval P Grosche, M Müller, J Serra Dagstuhl Follow-Ups 3, 2012 | 107 | 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 | 97 | 2012 |
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 | 93 | 2019 |
What Makes Beat Tracking Difficult? A Case Study on Chopin Mazurkas. P Grosche, M Müller, CS Sapp ISMIR, 649-654, 2010 | 81 | 2010 |
Analyzing Chroma Feature Types for Automated Chord Recognition N Jiang, P Grosche, V Konz, M Müller Proc. of 42nd AES Conference, 2011 | 68 | 2011 |
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 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 | 52 | 2012 |
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 | 45 | 2011 |
A Mid-Level Representation for Capturing Dominant Tempo and Pulse Information in Music Recordings. P Grosche, M Müller ISMIR, 189-194, 2009 | 44 | 2009 |
Toward characteristic audio shingles for efficient cross-version music retrieval P Grosche, M Müller Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International …, 2012 | 40 | 2012 |
Structure-Based Audio Fingerprinting for Music Retrieval. P Grosche, J Serrà, M Müller, JL Arcos ISMIR, 55-60, 2012 | 38 | 2012 |
Robust segmentation and annotation of folk song recordings M Müller, P Grosche, F Wiering Untitled Event, 735-740, 2009 | 32 | 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 | 30 | 2020 |
Automated analysis of performance variations in folk song recordings M Müller, P Grosche, F Wiering Proceedings of the international conference on Multimedia information …, 2010 | 28 | 2010 |
Signal processing apparatus for enhancing a voice component within a multi-channel audio signal J Geiger, P Grosche US Patent 10,210,883, 2019 | 25 | 2019 |
DIALOGUE ENHANCEMENT OF STEREO SOUND JT Geiger, P Grosche, YL Parodi European Signal Processing Conference (EUSIPCO 2015), 2015 | 24 | 2015 |