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Peter Grosche
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Zitiert von
Jahr
High resolution audio synchronization using chroma onset features
S Ewert, M Müller, P Grosche
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009
1922009
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
1112010
Audio content-based music retrieval
P Grosche, M Müller, J Serra
Dagstuhl Follow-Ups 3, 2012
1002012
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
982010
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
952014
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
862012
What Makes Beat Tracking Difficult? A Case Study on Chopin Mazurkas.
P Grosche, M Müller, CS Sapp
ISMIR, 649-654, 2010
702010
Analyzing Chroma Feature Types for Automated Chord Recognition
N Jiang, P Grosche, V Konz, M Müller
Proc. of 42nd AES Conference, 2011
632011
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
532011
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
492019
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
442012
A Mid-Level Representation for Capturing Dominant Tempo and Pulse Information in Music Recordings.
P Grosche, M Müller
ISMIR, 189-194, 2009
432009
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
412011
Toward characteristic audio shingles for efficient cross-version music retrieval
P Grosche, M Müller
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International …, 2012
392012
Structure-Based Audio Fingerprinting for Music Retrieval.
P Grosche, J Serrà, M Müller, JL Arcos
ISMIR, 55-60, 2012
382012
Robust segmentation and annotation of folk song recordings
M Müller, P Grosche, F Wiering
Untitled Event, 735-740, 2009
322009
Computing predominant local periodicity information in music recordings
P Grosche, M Müller
Applications of Signal Processing to Audio and Acoustics, 2009. WASPAA'09 …, 2009
222009
Signal processing apparatus for enhancing a voice component within a multi-channel audio signal
J Geiger, P Grosche
US Patent 10,210,883, 2019
212019
Automatic transcription of recorded music
P Grosche, B Schuller, M Müller, G Rigoll
Acta Acustica united with Acustica 98 (2), 199-215, 2012
212012
Automated analysis of performance variations in folk song recordings
M Müller, P Grosche, F Wiering
Proceedings of the international conference on Multimedia information …, 2010
202010
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