Peter Grosche
TitelZitiert vonJahr
High resolution audio synchronization using chroma onset features
S Ewert, M Müller, P Grosche
Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009
1442009
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
792010
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
682010
Unsupervised detection of music boundaries by time series structure features
J Serra, M Müller, P Grosche, JL Arcos
Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012
642012
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
632014
Audio content-based music retrieval
P Grosche, M Müller, J Serrà
Dagstuhl Follow-Ups 3, 2012
612012
What Makes Beat Tracking Difficult? A Case Study on Chopin Mazurkas.
P Grosche, M Müller, CS Sapp
ISMIR, 649-654, 2010
482010
Adaptive reverberation cancellation system
W Jin, P Grosche
US Patent App. 10/199,032, 2019
472019
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
442011
Analyzing Chroma Feature Types for Automated Chord Recognition
N Jiang, P Grosche, V Konz, M Müller
Proc. of 42nd AES Conference, 2011
382011
A Mid-Level Representation for Capturing Dominant Tempo and Pulse Information in Music Recordings.
P Grosche, M Müller
ISMIR, 189-194, 2009
362009
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
352011
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
282012
Structure-Based Audio Fingerprinting for Music Retrieval.
P Grosche, J Serrà, M Müller, JL Arcos
ISMIR, 55-60, 2012
272012
Robust segmentation and annotation of folk song recordings
M Müller, P Grosche, F Wiering
Untitled Event, 735-740, 2009
262009
Toward characteristic audio shingles for efficient cross-version music retrieval
P Grosche, M Müller
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International …, 2012
222012
Computing predominant local periodicity information in music recordings
P Grosche, M Müller
Applications of Signal Processing to Audio and Acoustics, 2009. WASPAA'09 …, 2009
202009
Automatic transcription of recorded music
P Grosche, B Schuller, M Müller, G Rigoll
Acta Acustica united with Acustica 98 (2), 199-215, 2012
182012
Signal processing methods for beat tracking, music segmentation, and audio retrieval
PM Grosche
Universität des Saarlandes, 2013
132013
Automated analysis of performance variations in folk song recordings
M Müller, P Grosche, F Wiering
Proceedings of the international conference on Multimedia information …, 2010
132010
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