News

Announcement of the International Summer School on Computational Musicology (ISSCoM2016)

September 20-22, 2016, University of Music Franz Liszt, Weimar
Website: jazzomat.hfm-weimar.de/isscom2016.html
Flyer: jazzomat.hfm-weimar.de/download/flyer_isscom2016_en_de.pdf

Releases des Jazzomat Research Project (22.05.2015)

[Translate to English:] Ab sofort zum freien Download (http://jazzomat.hfm-weimar.de/download):

*MeloSpyGUI 1.0* für Windows und Mac OS X:
  • ermöglicht die Analyse unzähliger Merkmale einstimmiger Melodien - mit neuen Möglichkeiten der Patternsuche und des Pattern Mining sowie der Umwandlung zwischen verschiedenen Musikdatenformaten - eigene Musikfiles (Transkriptionen, Melodien) lassen sich ebenfalls einlesen und analysieren!
  • Download inkl. Weimar Jazz Database und Essener Volksliedsammlung
  • Tutorial s. jazzomat.hfm-weimar.de/gui/tutorial.html
*Weimar Jazz Database 1.1* umfasst nun 299 transkribierte Jazzsoli! - mit umfangreichen Online-Steckbriefe zu den einzelnen Soli, inkl. ausgewählter Analyseergebnissen und MIDI-Versionen der Soli, siehe: jazzomat.hfm-weimar.de/dbformat/dbcontent.html.

*MeloSpySuite 1.3* für Windows und Mac OS X:
  • das Kommandozeilenprogramm ermöglicht zusätzlich das Programmieren eigener Analyseroutinen und -skripte.

Vocalmetrics 1.1 (20.11.2014)

Vocalmetrics 1.1 allows users to create new rating and visualization projects with their own audio files and their own sets of rating dimensions; it is available for free download.

Vocalmetrics 1.1 has been devised and implemented by the staff of the DFG-funded research project Voice and Singing in Popular Music in the US (1900-1960) in cooperation with Felix Schönfeld.

International Research Workshop 2014: The Jazzomat Research Project: Issues, Applications and Perspectives for Computational Methods in Music Research, Sept. 26th-27th

The Jazzomat Research Project is situated at the intersection of jazz research, cognitive psychology of creativity, and statistical music analysis. One central aim is to describe and discriminate stylistic features of jazz improvisation by examining jazz solos of various artists and styles with the help of a large computer database and newly developed software tools. Moreover, we want to explore the cognitive foundations of improvisation, test theories about the cognition of creative processes, and evaluate and enhance pedagogical approaches towards jazz improvisation. Furthermore, the project generally aims at advancing statistical and computational methods of music analysis in various areas of music information retrieval. The Jazzomat Research Project is funded by the German Research Foundation with a three-year grant (October 2012 – September 2015). After the first two years of project runtime, the research workshop aims at presenting, sharing and discussing results of the project and at getting further theoretical and methodological input from international researchers with various areas of expertise. These include style analysis of jazz musicians and genres as well as jazz theory and jazz pedagogy (session 1), psychology of creative processes as well as computer-aided analysis of recurring melodic and rhythmic patterns (session 2), and music information retrieval, esp. the interaction of audio-based and symbolic music data analysis (session 3). Additionally, during an evening roundtable jazz musicians and jazz educators will discuss implications of computational jazz research for jazz education.

More informations.

Download flyer.

Release of MeloSpySuite software toolkit (01.03.2014)

MeloSpySuite is a free stand-alone software toolkit with various tools to analyse monophonic melodies esp. jazz improvisation. It includes statistical tools (melfeature), tools for visualisation (melvis), pattern mining (melpat), data conversion (melconv) as well as the Weimar Jazz Database (see below) and detailed documentation. A tutorial introduces first steps to handle the command-line programme.

A free download of MeloSpySuite is avaible in March 2014, see: jazzomat.hfm-weimar.de/download.

The Weimar Jazz Database includes 105 jazz solos from various musicians and styles which are transcribed in a midi-like format (including pitch, onset, duration as well as annotated metric information, harmonic context, form, and phrasing) based on sv-files of Sonic Visualizer. The Weimar Jazz Database is to be currently enlarged up to 300 solos.

Based on MeloSpySuite a web application will be developed. The release of the web application is scheduled for fall 2014.

In September 2014, an international research workshop The Jazzomat Project: Issues, applications and perspectives for computational methods in jazz research will explore and discuss approaches to jazz improvisation, MeloSpySuite and other analyses toolkits (Weimar, September 26th/27th). Participants will come from jazz research, cognitive musicology, and music information retrieval including amongst others Daniel Muellensiefen (Goldsmiths College, London), Francois Pachet (SONY Computer Science Laboratory, Paris), Meinhard Müller (International Audio Laboratories Erlangen), and Andreas Kissenbeck (Musikhochschule München).

The Jazzomat Research Project is based at the Institute for Musicology Weimar-Jena at the Liszt School of Music Weimar and is funded by a three-year-grant of German Research Foundation (October 2012 until September 2015), see jazzomat.hfm-weimar.de.