Peter Grosche

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Meinard MüllerFriedrich-Alexander Universität Erlangen-Nürnberg (FAU), International Audio Laboratories ErlangenVerified email at audiolabs-erlangen.de
Joan SerràDolby LaboratoriesVerified email at dolby.com
Nanzhu JiangPhD candidate, International Audio Laboratories Erlangen, Friedrich-Alexander-Universität ErlangenVerified email at audiolabs-erlangen.de
Josep LLuis ArcosResearch Scientist, Artificial Intelligence Research Institute (IIIA-CSIC)Verified email at iiia.csic.es
Sebastian EwertSpotifyVerified email at qmul.ac.uk
Jürgen GeigerHarman Becker Automotive Systems GmbHVerified email at tum.de
Frans WieringUtrecht UniversityVerified email at uu.nl
Frank KurthFraunhofer FKIE, apl. Professor für Informatik, Universität BonnVerified email at fkie.fraunhofer.de
Stefan WeinzierlProfessor für Audiokommunikation, TU BerlinVerified email at tu-berlin.de
Fabian BrinkmannResearch Associate at Audio Communication Group, TU BerlinVerified email at tu-berlin.de
Björn SchullerProfessor of AI, Imperial College London & University of Augsburg & CSO, audEERINGVerified email at imperial.ac.uk
Karim HelwaniAmazonVerified email at ieee.org
Christian Schörkhubersonible GmbHVerified email at sonible.com
Franz ZotterAssistant Prof., Universität für Musik und darstellende Kunst GrazVerified email at iem.at
Gerhard RigollProfessor for Human-Machine Communication, TU MünchenVerified email at gerhard-rigoll.de
Hendrik Schreibertagtraum industries incorporatedVerified email at tagtraum.com
Felix WeningerNuance CommunicationsVerified email at nuance.com
Stine HarderTechnical University of Denmark Verified email at dtu.dk
Rasmus R. PaulsenAssociate Professor in Medical Image Analysis, DTU Compute, Technical University of DenmarkVerified email at dtu.dk
Masataka GotoPrime Senior Researcher, National Institute of Advanced Industrial Science and Technology (AIST)Verified email at aist.go.jp

Peter Grosche

Huawei

Verified email at huawei.com - Homepage

Audio Signal Processing Audio Data Science Music Information Retrieval AI


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High resolution audio synchronization using chroma onset features S Ewert, M Müller, P Grosche Acoustics, Speech and Signal Processing, 2009. ICASSP 2009. IEEE …, 2009	173	2009
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	92	2010
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	84	2010
Audio content-based music retrieval P Grosche, M Müller, J Serra Dagstuhl Follow-Ups 3, 2012	83	2012
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	79	2014
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), 2012	79	2012
What Makes Beat Tracking Difficult? A Case Study on Chopin Mazurkas. P Grosche, M Müller, CS Sapp ISMIR, 649-654, 2010	60	2010
Memory card, memory card controller, and software therefor A Cummings US Patent App. 10/199,032, 2004	53	2004
Analyzing Chroma Feature Types for Automated Chord Recognition N Jiang, P Grosche, V Konz, M Müller Proc. of 42nd AES Conference, 2011	51	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	47	2011
A Mid-Level Representation for Capturing Dominant Tempo and Pulse Information in Music Recordings. P Grosche, M Müller ISMIR, 189-194, 2009	42	2009
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	40	2011
Polyurethane compounds and articles prepared therefrom P Foley, J Argyropoulos, D Bryant, D Bhattacharjee, A Sendijarevic US Patent App. 10/284,993, 2004	38	2004
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	34	2012
Structure-Based Audio Fingerprinting for Music Retrieval. P Grosche, J Serrà, M Müller, JL Arcos ISMIR, 55-60, 2012	34	2012
Toward characteristic audio shingles for efficient cross-version music retrieval P Grosche, M Müller Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International …, 2012	32	2012
Robust segmentation and annotation of folk song recordings M Müller, P Grosche, F Wiering Untitled Event, 735-740, 2009	31	2009
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	21	2019
Computing predominant local periodicity information in music recordings P Grosche, M Müller Applications of Signal Processing to Audio and Acoustics, 2009. WASPAA'09 …, 2009	21	2009
Automated analysis of performance variations in folk song recordings M Müller, P Grosche, F Wiering Proceedings of the international conference on Multimedia information …, 2010	20	2010

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