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ORCIDPeter Grosche
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- affiliation: Max Planck Institute for Informatics, Saarbrücken, Germany
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2020 – today
- 2024
[c21]Benno Weck
, Holger Kirchhoff, Peter Grosche, Xavier Serra:
WikiMuTe: A Web-Sourced Dataset of Semantic Descriptions for Music Audio. MMM (5) 2024: 42-56- 2023
- [i2]Benno Weck, Holger Kirchhoff, Peter Grosche, Xavier Serra:
WikiMuTe: A web-sourced dataset of semantic descriptions for music audio. CoRR abs/2312.09207 (2023)
2010 – 2019
- 2018
- [c20]Manoj Dinakaran, Fabian Brinkmann, Stine Harder, Robert Pelzer, Peter Grosche, Rasmus R. Paulsen, Stefan Weinzierl:
Perceptually Motivated Analysis of Numerically Simulated Head-Related Transfer Functions Generated By Various 3D Surface Scanning Systems. ICASSP 2018: 551-555 - [c19]Mikko Parviainen, Pasi Pertilä, Tuomas Virtanen, Peter Grosche:
Time-Frequency Masking Strategies for Single-Channel Low-Latency Speech Enhancement Using Neural Networks. IWAENC 2018: 51-55 - 2015
- [c18]Jürgen T. Geiger, Peter Grosche, Yesenia Lacouture-Parodi:
Dialogue enhancement of stereo sound. EUSIPCO 2015: 869-873 - 2014
- [j3]Joan Serrà, Meinard Müller, Peter Grosche, Josep Lluís Arcos:
Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity. IEEE Trans. Multim. 16(5): 1229-1240 (2014) - [c17]Christian Kirst, Felix Weninger, Cyril Joder, Peter Grosche, Jürgen T. Geiger, Björn W. Schuller:
On-Line NMF-Based Stereo Up-Mixing of Speech Improves Perceived Reduction of Non-Stationary Noise. Semantic Audio 2014 - 2013
- [b1]Peter Grosche:
Signal processing methods for beat tracking, music segmentation, and audio retrieval. Saarland University, 2013 - [j2]Meinard Müller, Nanzhu Jiang, Peter Grosche:
A Robust Fitness Measure for Capturing Repetitions in Music Recordings With Applications to Audio Thumbnailing. IEEE Trans. Speech Audio Process. 21(3): 531-543 (2013) - [c16]Peter Grosche, Meinard Müller, Joan Serrà:
Towards cover group thumbnailing. ACM Multimedia 2013: 613-616 - 2012
- [c15]Meinard Müller, Peter Grosche:
Automated Segmentation of Folk Song Field Recordings. ITG Conference on Speech Communication 2012: 1-4 - [c14]Joan Serrà, Meinard Müller, Peter Grosche, Josep Lluís Arcos:
Unsupervised Detection of Music Boundaries by Time Series Structure Features. AAAI 2012: 1613-1619 - [c13]Peter Grosche, Meinard Müller:
Toward musically-motivated audio fingerprints. ICASSP 2012: 93-96 - [c12]Peter Grosche, Meinard Müller:
Toward characteristic audio shingles for efficient cross-version music retrieval. ICASSP 2012: 473-476 - [c11]Peter Grosche, Joan Serrà, Meinard Müller, Josep Lluís Arcos:
Structure-Based Audio Fingerprinting for Music Retrieval. ISMIR 2012: 55-60 - [p1]Peter Grosche, Meinard Müller, Joan Serrà:
Audio Content-Based Music Retrieval. Multimodal Music Processing 2012: 157-174 - 2011
- [j1]Peter Grosche, Meinard Müller:
Extracting Predominant Local Pulse Information From Music Recordings. IEEE Trans. Speech Audio Process. 19(6): 1688-1701 (2011) - [c10]Hendrik Schreiber, Peter Grosche, Meinard Müller:
A Re-ordering Strategy for Accelerating Index-based Audio Fingerprinting. ISMIR 2011: 127-132 - [c9]Meinard Müller, Peter Grosche, Nanzhu Jiang:
A Segment-Based Fitness Measure for Capturing Repetitive Structures of Music Recordings. ISMIR 2011: 615-620 - [c8]Nanzhu Jiang, Peter Grosche, Verena Konz, Meinard Müller:
Analyzing Chroma Feature Types for Automated Chord Recognition. Semantic Audio 2011 - 2010
- [c7]Peter Grosche, Meinard Müller, Frank Kurth:
Cyclic tempogram - A mid-level tempo representation for musicsignals. ICASSP 2010: 5522-5525 - [c6]Peter Grosche, Meinard Müller, Craig Stuart Sapp:
What Makes Beat Tracking Difficult? A Case Study on Chopin Mazurkas. ISMIR 2010: 649-654 - [c5]Meinard Müller, Peter Grosche, Frans Wiering:
Automated analysis of performance variations in folk song recordings. Multimedia Information Retrieval 2010: 247-256
2000 – 2009
- 2009
- [c4]Sebastian Ewert, Meinard Müller, Peter Grosche:
High resolution audio synchronization using chroma onset features. ICASSP 2009: 1869-1872 - [c3]Peter Grosche, Meinard Müller:
A Mid-Level Representation for Capturing Dominant Tempo and Pulse Information in Music Recordings. ISMIR 2009: 189-194 - [c2]Meinard Müller, Peter Grosche, Frans Wiering:
Robust Segmentation and Annotation of Folk Song Recordings. ISMIR 2009: 735-740 - [c1]Peter Grosche, Meinard Müller:
Computing predominant local periodicity information in music recordings. WASPAA 2009: 33-36 - [i1]Meinard Müller, Peter Grosche, Frans Wiering:
Towards Automated Processing of Folk Song Recordings. Knowledge Representation for Intelligent Music Processing 2009
Coauthor Index
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