This is an invited lecture on Music Information Retrieval organized by the Hochschule für Musik Karlsruhe.
2 ECTS for master students of music informatics
Music signals possess specific acoustic and structural characteristics that are not shared by spoken language or audio signals from other domains. In fact, many music analysis tasks only become feasible by exploiting suitable music-specific assumptions. In this course, we study feature design principles that have been applied to music signals to account for the music-specific aspects. In particular, we discuss various musically expressive feature representations that refer to musical dimensions such as harmony, rhythm, timbre, or melody. Furthermore, we highlight the practical and musical relevance of these feature representations in the context of current music analysis and retrieval tasks. Here, our general goal is to show how the development of music-specific signal processing techniques is of fundamental importance for tackling otherwise infeasible music analysis problems.
This lecture gives an overview of the field of audio-based MIR and provides an in-depth introduction to a number of fundamental algorithms in the field such as the short time fourier transform, dynamic time warping, or hidden Markov models. The lecture takes place within two blocks that also contain practical programming exercises in Python. The full course comprises 2 ECTS and is dedicated to master students of music informatics.
The following videos give a brief impression about this lecture.
@book{Mueller15_FundamentalsMusicProcessig_SPRINGER, author = {Meinard M\"{u}ller}, title = {Fundamentals of Music Processing -- Audio, Analysis, Algorithms, Applications}, type = {Monograph}, year = {2015}, isbn = {978-3-319-21944-8}, publisher = {Springer Verlag}, url-details={http://www.music-processing.de} }
@PhdThesis{Weiss17_StyleAnalysis_PhD, author = {Christof Wei{\ss}}, title = {Computational Methods for Tonality-Based Style Analysis of Classical Music Audio Recordings}, school = {Ilmenau University of Technology}, address = {Ilmenau, Germany}, year = {2017}, url = {http://www.db-thueringen.de/receive/dbt_mods_00032890}, url-pdf = {http://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00039054/ilm1-2017000293.pdf}, url-presentation = {https://www.audiolabs-erlangen.de/fau/assistant/weiss/publications/2017_Weiss_PhD-Defense_TUIlmenau.pdf} }
@inproceedings{ZalkowWM17_WagnerHarmony_ISMIR, author = {Frank Zalkow and Christof Wei{\ss} and Meinard M{\"u}ller}, title = {Exploring Tonal-Dramatic Relationships in {R}ichard {W}agne{r\'s} {R}ing Cycle}, booktitle = {Proceedings of the International Conference on Music Information Retrieval ({ISMIR})}, pages = {642--648}, address = {Suzhou, China}, year = {2017}, url-pdf = {http://ismir2017.smcnus.org/wp-content/uploads/2017/10/132_Paper.pdf} }
@inproceedings{WeissZMKK_WagnerRing_GI, author = {Christof Wei{\ss} and Frank Zalkow and Meinard M{\"u}ller and Stephanie Klauk and Rainer Kleinertz}, title = {{C}omputergest{\"u}tzte {V}isualisierung {H}armonischer {V}erl{\"a}ufe: {E}ine {F}allstudie zu {W}agners {R}ing}, booktitle = {Proceedings of the Jahrestagung der Gesellschaft f{\"{u}}r Informatik ({GI})}, pages = {205--217}, address = {Chemnitz, Germany}, year = {2017} }
@inproceedings{WeissKM16_Wagner_GfM, author = {Christof Wei{\ss} and Rainer Kleinertz and Meinard M{\"u}ller}, title = {{M}{\"o}glichkeiten der computergest{\"u}tzten {E}rkennung und {V}isualisierung harmonischer {S}trukturen -- eine {F}allstudie zu {R}ichard {W}agners ``{D}ie {W}alk{\"u}re''}, booktitle = {{B}ericht zur {J}ahrestagung der {G}esellschaft f{\"u}r {M}usikforschung ({GfM}) 2015 in Halle/Saale}, editor = {Wolfgang Auhagen and Wolfgang Hirschmann}, publisher = {{S}chott {C}ampus}, address = {Mainz, Germany}, year = {2016}, url-pdf = {2016_WeissKM_HarmStrukturWalkuere_SchottCampus.pdf} }
@inproceedings{WeissAPKM16_Measure_ISMIR, author = {Christof Wei{\ss} and Vlora Arifi-M{\"u}ller and Thomas Pr{\"a}tzlich and Rainer Kleinertz and Meinard M{\"u}ller}, title = {Analyzing Measure Annotations for Western Classical Music Recordings}, booktitle = {Proceedings of the International Conference on Music Information Retrieval ({ISMIR})}, address = {New York, USA}, year = {2016}, pages = {517--523}, url-pdf = {2016_WeissAPKM_MeasureAnnotation_ISMIR_ePrint.pdf} }
@article{RoewenstrunkPBMSV15_WeberOper_DBSK, author = {Daniel R{\"o}wenstrunk and Thomas Pr{\"a}tzlich and Thomas Betzwieser and Meinard M{\"u}ller and Gerd Szwillus and Joachim Veit}, title = {{D}as {G}esamtkunstwerk {O}per aus {D}atensicht -- {A}spekte des {U}mgangs mit einer heterogenen {D}atenlage im {BMBF}-{P}rojekt {F}reisch{\"u}tz {D}igital}, journal = {Datenbank-Spektrum}, volume = {15}, number = {1}, pages = {65--72}, year = {2015}, doi = {10.1007/s13222-015-0179-0}, url-pdf = {2015_RoewenstrunkPBMSV_FreiDi_DatenbankSpektrum.pdf}, url-details = {http://freischuetz-digital.de/} }
@inproceedings{WeissM15_TonalComplexity_ICASSP, author = {Christof Weiss and Meinard M{\"u}ller}, title = {Tonal Complexity Features for Style Classification of Classical Music}, booktitle = {Proceedings of the {IEEE} International Conference on Acoustics, Speech, and Signal Processing ({ICASSP})}, address = {Brisbane, Australia}, year = {2015}, pages = {688--692}, url-pdf = {2015_WeissMueller_TonalComplexity_ICASSP.pdf} }
@proceedings{MuellerGS12_MultimodalMusicProcessing_DagstuhlFU, editor = {Meinard M{\"u}ller and Masataka Goto and Markus Schedl}, title = {Multimodal Music Processing}, booktitle = {Multimodal Music Processing}, publisher = {Schloss Dagstuhl - Leibniz-Zentrum f{\"u}r Informatik, Germany}, series = {Dagstuhl Follow-Ups}, volume = {3}, year = {2012}, isbn = {978-3-939897-37-8}, url-pdf={http://drops.dagstuhl.de/opus/volltexte/2011/3145/pdf/dagrep_v001_i001_p068_s11041.pdf} }