Archiv des Autors: Igor Vatolkin

Two Papers Presented at WCCI 2020

Publiziert am 26. Juli 2020 von Igor Vatolkin

Two papers were presented during WCCI 2020: Vatolkin, I.: Evolutionary Approximation of Instrumental Texture in Polyphonic Audio Recordings [evaluates new features based on evolutionary approximation of instrumental texture for instrument and genre recognition] Ginsel, P., Vatolkin, I. Rudolph, G.: Analysis … Weiterlesen →

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SIGMA #47

Publiziert am 29. Mai 2020 von Igor Vatolkin

The program of the following 47th SIGMA meeting on 19.06.2020, 14:00-16:15, which takes place online: https://tu-dortmund.zoom.us/j/94868569943?pwd=dXJFK3dvS3VMV1lWMTVYRFBhcENpdz09 14:00-14:05 Welcome greetings 14:05-14:25 Conference study Benjamin Lentz: Harmonic/Percussive Sound Separation and Spectral Complexity Reduction of Music Signals for Cochlear Implant Listeners 14:25-15:00 Master … Weiterlesen →

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Call for Papers: GECCO DETA Track

Publiziert am 25. Dezember 2019 von Igor Vatolkin

Digital Entertainment Technologies and Arts Track @ GECCO in Cancun, Mexico, July 8th-12th 2020, invites for submissions describing original work involving the use of computational intelligence techniques in the creative arts, including design, games, and music. Works of a methodological, … Weiterlesen →

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New book: Applications in Statistical Computing

Publiziert am 1. November 2019 von Igor Vatolkin

The book Bauer, N., Ickstadt, K., Lübke, K., Szepannek, G., Trautmann, H., Vichi, M (Eds.): Applications in Statistical Computing: From Music Data Analysis to Industrial Quality Improvement, Springer, has recently been published. This volume presents a selection of research papers … Weiterlesen →

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Software project „Music informatics“

Publiziert am 7. Oktober 2019 von Igor Vatolkin

Software project „Music informatics“ has started at the Chair of Algorithm Engineering, Department of Computer Science, TU Dortmund. In small groups of students, various tasks are solved, e.g., optmisation of audio feature extraction, recognition of genres and instruments, application of … Weiterlesen →

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SIGMA #46

Publiziert am 13. Juni 2019 von Igor Vatolkin

The program of the following 46th SIGMA meeting on 21.06.2019, 16:00-18:00, which takes place at the Department of Music and Musicology, TU Dortmund, Emil-Figge-Straße 50, room 4315: 16:00-16:05 Welcome greetings 16:05-16:30 Bachelor thesis Johannes Mertens: The tuning of the Förner-Organ … Weiterlesen →

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DANK autumn meeting in Dortmund

Publiziert am 28. Mai 2019 von Igor Vatolkin

This year the annual autumn meeting of the AG DANK (http://www.gfkl.org/working-groups/data-analysis-numerical-classification/) will focus but not be limited to “Musical Data Analysis”. It will be hosted in Dortmund by Karsten Lübke (FOM) and Claus Weihs (TU Dortmund) on October the 10th … Weiterlesen →

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Exhibition at the Dortmund „U“: „Engineering meets Art“

Publiziert am 22. Mai 2019 von Igor Vatolkin

„Engineering meets Art“, an exhibition showing the results of a project which commemorates the 50th anniversary of the Faculty of Organic and Chemical engineering as interdisciplinary cooperation with the Faculty of Arts and Sports had been launched and will be … Weiterlesen →

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Bachelor thesis on music genre classification with Fuzzy KNN

Publiziert am 26. Januar 2019 von Igor Vatolkin

The thesis „Philipp Ginsel: Strukturelle Komplexitätsmerkmale zur Musikgenre-Klassifikation mit Fuzzy-k-nearest-Neighbors“ (Structural complexity features for music genre classification with Fuzzy-k-nearest-Neighbors, PDF in German) examines different settings for extraction of structural complexity for prediction of music genres with Fuzzy KNN. The tested … Weiterlesen →

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Deadline approaching: GECCO 2019 in Prague

Publiziert am 26. Januar 2019 von Igor Vatolkin

Digital Entertainment Technologies and Arts GECCO track invites submissions describing original work involving the use of computational intelligence techniques in the creative arts, including design, games, and music. The deadline for abstracts is 30.01.2019 and for full papers 06.02.2019. For … Weiterlesen →

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