Researcher Portfolio
Grosche, Peter
Computer Graphics, MPI for Informatics, Max Planck Society
Researcher Profile
Position: Computer Graphics, MPI for Informatics, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons44530
Publications
: Serrà, J., Mueller, M., Grosche, P., & Arcos, J. L. (2014). Unsupervised Music Structure Annotation by Time Series Structure Features and Segment Similarity. IEEE Transactions on Multimedia, 16(5), 1229-1240. doi:10.1109/TMM.2014.2310701. [PubMan] : Müller, M., Jiang, N., & Grosche, P. (2013). A Robust Fitness Measure for Capturing Repetitions in Music Recordings With Applications to Audio Thumbnailing. IEEE Transactions on Audio, Speech and Language Processing, 21(3), 531-543. doi:10.1109/TASL.2012.2227732. [PubMan] : Grosche, P., Müller, M., & Serrà, J. (2012). Audio Content-based Music Retrieval. In M. Müller, M. Goto, & M. Schedl (Eds. ), Multimodal Music Processing (pp. 157-174). Dagstuhl, Germany: Schloss Dagstuhl-Leibniz-Zentrum für Informatik. doi:10.4230/DFU.Vol3.11041.157. [PubMan] : Grosche, P. M. (2012). Signal Processing Methods for Beat Tracking, Music Segmentation, and Audio Retrieval. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-26471. [PubMan] : Serrà, J., Müller, M., Grosche, P., & Arcos, J. L. (2012). Unsupervised Detection of Music Boundaries by Time Series Structure Features. In Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence and the Twenty-Fourth Innovative Applications of Artificial Intelligence Conference, the Third Symposium on Educational Advances in Artificial Intelligence (pp. 1613-1619). Menlo Park: AAAI. [PubMan] : Grosche, P., Schuller, B., Müller, M., & Rigoll, G. (2012). Automatic Transcription of Recorded Music. Acta Acustica united with Acustica, 98(2), 199-215. doi:10.3813/AAA.918505. [PubMan] : Müller, M., & Grosche, P. (2012). Automated Segmentation of Folk Song Field Recordings. In T. Fingscheidt (Ed. ), Sprachkommunikation 2012 (pp. 1-4). Berlin: VDE-Verlag. [PubMan] : Grosche, P., Serrà, J., Müller, M., & Arcos, J. L. (2012). Structure-based Audio Fingerprinting For Music Retrieval. In ISMIR 2012 (pp. 55-60). Porto: FEUP Edições. [PubMan] : Grosche, P., & Müller, M. (2012). Toward Musically-motivated Audio Fingerprints. In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 93-96). Piscataway, NJ: IEEE. doi:10.1109/ICASSP.2012.6287825. [PubMan] : Grosche, P., & Müller, M. (2012). Toward Characteristic Audio Shingles for Efficient Cross-version Music Retrieval. In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 473-476). Piscataway, NJ: IEEE. doi:10.1109/ICASSP.2012.6287919. [PubMan] : Schreiber, H., Grosche, P., & Müller, M. (2011). A Re-ordering Strategy for Accelerating Index-based Audio Fingerprinting. In 12th International Society for Music Information Retrieval Conference (pp. 127-132). s.l.: ISMIR. Retrieved from http://ismir2011.ismir.net/papers/PS1-15.pdf. [PubMan] : Grosche, P., & Müller, M. (2011). Extracting Predominant Local Pulse Information from Music Recordings. IEEE Transactions on Audio, Speech, and Language Processing, 19(6), 1688-1701. doi:10.1109/TASL.2010.2096216. [PubMan] : Müller, M., Grosche, P., & Jiang, N. (2011). A Segment-based Fitness Measure for Capturing Repetitive Structures of Music Recordings. In 12th International Society for Music Information Retrieval Conference (pp. 615-620). s.l.: ISMIR. Retrieved from http://ismir2011.ismir.net/papers/OS7-1.pdf. [PubMan] : Jiang, N., Grosche, P., Konz, V., & Müller, M. (2011). Analyzing Chroma Feature Types for Automated Chord Recognition. In Semantic Audio (pp. 285-294). New York, NY: Audio Engineering Society. [PubMan] : Grosche, P., Müller, M., & Kurth, F. (2010). Cyclic Tempogram -- A Mid-level Tempo Representation For Music Signals. In D. C. Scott (Ed. ), IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 5522-5525). Piscataway, NJ.: IEEE. doi:10.1109/ICASSP.2010.5495219. [PubMan] : Grosche, P., Müller, M., & Sapp, C. S. (2010). What Makes Beat Tracking Difficult? A case Study on Chopin Mazurkas. In J. S. Downie, & R. C. Veltkamp (Eds. ), Proceedings of the 11th International Society for Music Information Retrieval Conference (pp. 649-654). s.l.: ISMIR. Retrieved from http://ismir2010.ismir.net/proceedings/ISMIR2010_complete_proceedings.pdf. [PubMan] : Müller, M., Grosche, P., & Wiering, F. (2010). Automated Analysis of Performance Variations in Folk Song Recordings. In J. Z. Wang, N. Boujemaa, N. O. Ramirez, & A. Natsev (Eds. ), MIR 2010 (pp. 247-256). New York, NY: ACM. doi:10.1145/1743384.1743429. [PubMan] : Grosche, P., & Müller, M. (2009). Computing predominant local periodicity information in music recordings. In Proceedings of the IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (pp. 33-36). Piscataway, NJ: IEEE. [PubMan] : Grosche, P., & Müller, M. (2009). A mid-level representation for capturing dominant tempo and pulse information in music recordings. In Proceedings of th 10th International Society for Music Information Retrieval Conference (pp. 189-194). [PubMan] : Ewert, S., Müller, M., & Grosche, P. (2009). High Resolution Audio Synchronization Using Chroma Onset Features. In Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (pp. 1869-1872). Los Alamitos, CA, USA: IEEE. [PubMan] : Müller, M., Grosche, P., & Wiering, F. (2009). Towards Automated Processing of Folk Song Recordings. In E. Selfridge-Field, F. Wiering, & G. A. Wiggins (Eds. ), Knowledge representation for intelligent music processing (pp. 1-15). Dagstuhl, Germany: Schloss Dagstuhl. [PubMan] : Müller, M., Grosche, P., & Wiering, F. (2009). Robust Segmentation and Annotation of Folk Song Recordings. In Proceedings of th 10th International Society for Music Information Retrieval Conference (pp. 735-740). [PubMan]